SlideShare uma empresa Scribd logo
1 de 14
Baixar para ler offline
8th	
  USENIX	
  
Conference	
  on	
  File	
  and	
  Storage	
  
   Technologies	
  (FAST	
  ’10)	

                                     	
  

2010 3 31
USENIX	
•                                                          	
  
     –  Annual	
  Technical	
  Conference	
  
     –  FAST:	
  Conference	
  on	
  File	
  and	
  Storage	
  Technologies	
  
     –  LISA:	
  Large	
  InstallaEon	
  System	
  AdministraEon	
  Conference	
  
     –  OSDI:	
  Symposium	
  on	
  OperaEng	
  Systems	
  Design	
  and	
  
        ImplementaEon	
  
     –  NSDI:	
  Symposium	
  on	
  Networked	
  Systems	
  Design	
  and	
  
        ImplementaEon	
  
     –  Security	
  Symposium	
  
•                                                                        	
  
     –  Hot{Cloud,	
  Dep,	
  Mobile,	
  OS,	
  Par,	
  Power,	
  Sec,	
  Storage}	
  
FAST’10	
                      	
•             2010 2 23 26 	
  
•                       	
  
• 

                                                          	
  
•                     20% 18/89 	
  
•                 350+ 	
  
     –                                     NEC 	
  
                         NEDO                	
                         hZp://www.usenix.org/	
  
     events/fast10/
Tutorials	
•  Solid-­‐State	
  Storage:	
  Technology,	
  Design,	
  and	
  
   ApplicaBon,	
  Richard	
  Freitas	
  and	
  Larry	
  Chiu,	
  IBM	
  
    –                                PCM                                  	
  
         •  ASPLOS	
  2010 Best	
  paper              PCM          	
  
    –  Quick	
  Silver                       SSD                                 	
  
         •      SSD                            	
  
•  Storage	
  and	
  Network	
  DeduplicaBon	
  Technologies,	
  
   Michael	
  Condict,	
  NetApp	
  
    –                    dedup                              	
  
    –         dedup                   	
  
•  Clustered	
  and	
  Parallel	
  Storage	
  System	
  Technologies,	
  
   Marc	
  Unangst,	
  Panasas	
  
Keynote	
  Addresses	
•  Technology	
  for	
  Developing	
  Regions	
  
   Eric	
  Brewer,	
  University	
  of	
  California,	
  Berkeley	
  
    –                          IT                                 	
  
         •  WiLDNet                                          WiFi               	
  
         •  TierStore                               FS	
  


•  Enterprise	
  AnalyBcs	
  on	
  Demand	
  
   Oliver	
  Ratzesberger,	
  eBay,	
  Inc.	
  
    –  eBay PayPal IO	
  intensive                                       	
  
    –  AnalyEcs	
  as	
  a	
  Service
Best	
  Paper	
  Awards	
•  quFiles:	
  The	
  Right	
  File	
  at	
  the	
  Right	
  Time	
  
   Kaushik	
  Veeraraghavan	
  and	
  Jason	
  Flinn,	
  University	
  of	
  Michigan;	
  
   Edmund	
  B.	
  NighEngale,	
  MicrosoB	
  Research,	
  Redmond;	
  Brian	
  Noble,	
  
   University	
  of	
  Michigan	
  
     – 
                               	
  
     –       Versioning Security	
  (Context-­‐aware) Odyssey	
  (ApplicaEon-­‐
        aware) Plahorm-­‐specific	
  display     	
  
•  Membrane:	
  OperaBng	
  System	
  Support	
  for	
  Restartable	
  File	
  
   Systems	
  
   Swaminathan	
  Sundararaman,	
  Sriram	
  Subramanian,	
  Abhishek	
  
   Rajimwale,	
  Andrea	
  C.	
  Arpaci-­‐Dusseau,	
  Remzi	
  H.	
  Arpaci-­‐Dusseau,	
  
   and	
  Michael	
  M.	
  Swik,	
  University	
  of	
  Wisconsin—Madison	
  
     –                                                                     	
  
          •                                                         	
  
     –                         Linux	
  FS	
  sub	
  system
Build	
  a	
  BeQer	
  File	
  System	
  and	
  the	
  
   World	
  Will	
  Beat	
  a	
  Path	
  to	
  Your	
  Door	
•  [Best	
  Paper]	
  quFiles:	
  The	
  Right	
  File	
  at	
  the	
  Right	
  Time	
  
   Kaushik	
  Veeraraghavan	
  and	
  Jason	
  Flinn,	
  University	
  of	
  
   Michigan;	
  Edmund	
  B.	
  NighHngale,	
  MicrosoB	
  Research,	
  
   Redmond;	
  Brian	
  Noble,	
  University	
  of	
  Michigan	
  
•  Tracking	
  Back	
  References	
  in	
  a	
  Write-­‐Anywhere	
  File	
  System	
  
   Peter	
  Macko	
  and	
  Margo	
  Seltzer,	
  Harvard	
  University;	
  Keith	
  A.	
  
   Smith,	
  NetApp,	
  Inc.	
  
     –            FS CoW writable	
  snapshot
                                  inode       back	
  reference                        	
  
•  End-­‐to-­‐end	
  Data	
  Integrity	
  for	
  File	
  Systems:	
  A	
  ZFS	
  Case	
  Study	
  
   Yupu	
  Zhang,	
  Abhishek	
  Rajimwale,	
  Andrea	
  C.	
  Arpaci-­‐Dusseau,	
  
   and	
  Remzi	
  H.	
  Arpaci-­‐Dusseau,	
  University	
  of	
  Wisconsin—
   Madison	
  
     –                                              fault	
  injecEon           ZFS           	
  
Looking	
  for	
  Trouble	
•  Black-­‐Box	
  Problem	
  Diagnosis	
  in	
  Parallel	
  File	
  Systems	
  
   Michael	
  P.	
  Kasick,	
  Carnegie	
  Mellon	
  University;	
  Jiaqi	
  Tan,	
  DSO	
  NaHonal	
  
   Labs,	
  Singapore;	
  Rajeev	
  Gandhi	
  and	
  Priya	
  Narasimhan,	
  Carnegie	
  Mellon	
  
   University	
  
      –  BlueGene/P	
  PVFS                                                          	
  
      –                     ”Limping-­‐but-­‐alive” IO
                                                                       	
  
•  A	
  Clean-­‐Slate	
  Look	
  at	
  Disk	
  Scrubbing	
  
   Alina	
  Oprea	
  and	
  Ari	
  Juels,	
  RSA	
  Laboratories	
  
      –  Disk	
  Scrubbing                    (LSE)                                                	
  
      –  LSE                      Staggering adapEve	
  rate                                	
  
      –           SIGMETRICS’07 L.N.Bairavasundaram                           	
  
•  Understanding	
  Latent	
  Sector	
  Errors	
  and	
  How	
  to	
  Protect	
  Against	
  Them	
  
   Bianca	
  Schroeder,	
  SoErios	
  Damouras,	
  and	
  Phillipa	
  Gill,	
  University	
  of	
  
   Toronto	
  
      –  Scrubbing Intra-­‐disk	
  redundancy                                         	
  
      –  NetApp                           LSE                                        20-­‐60%             	
  
         10                                                            50%                	
  
Flash:	
  Savior	
  of	
  the	
  Universe?	
•  DFS:	
  A	
  File	
  System	
  for	
  Virtualized	
  Flash	
  Storage	
  
   William	
  K.	
  Josephson	
  and	
  Lars	
  A.	
  Bongo,	
  Princeton	
  University;	
  David	
  Flynn,	
  
   Fusion-­‐io;	
  Kai	
  Li,	
  Princeton	
  University	
  
      –                                   Fusion-­‐io   ioDrive
                                   	
  
      –                                                               	
  
•  Extending	
  SSD	
  LifeBmes	
  with	
  Disk-­‐Based	
  Write	
  Caches	
  
   Gokul	
  Soundararajan,	
  University	
  of	
  Toronto;	
  Vijayan	
  Prabhakaran,	
  Mahesh	
  
   Balakrishnan,	
  and	
  Ted	
  Wobber,	
  MicrosoB	
  Research	
  Silicon	
  Valley	
  
      –  Griffin SSD                  HDD                                             	
  
      –          sequenEal	
  write                      HDD                 	
  
•  Write	
  Endurance	
  in	
  Flash	
  Drives:	
  Measurements	
  and	
  Analysis	
  
   Simona	
  Boboila	
  and	
  Peter	
  Desnoyers,	
  Northeastern	
  University	
  
      –  USB                                     FTL Flash	
  TranslaEon	
  Layer
                                	
  
      –  IO                   HDD→                                →                               GC	
  
      – 
I/O,	
  I/O,	
  to	
  Parallel	
  I/O	
  We	
  Go	
•  AcceleraBng	
  Parallel	
  Analysis	
  of	
  ScienBfic	
  SimulaBon	
  Data	
  via	
  Zazen	
  
   Tiankai	
  Tu,	
  Charles	
  A.	
  Rendleman,	
  Patrick	
  J.	
  Miller,	
  Federico	
  SacerdoE,	
  and	
  
   Ron	
  O.	
  Dror,	
  D.E.	
  Shaw	
  Research;	
  David	
  E.	
  Shaw,	
  D.E.	
  Shaw	
  Research	
  and	
  
   Columbia	
  University	
  
      –  Zazen                                                	
  
•  Efficient	
  Object	
  Storage	
  Journaling	
  in	
  a	
  Distributed	
  Parallel	
  File	
  System	
  
   Sarp	
  Oral,	
  Feiyi	
  Wang,	
  David	
  Dillow,	
  Galen	
  Shipman,	
  and	
  Ross	
  Miller,	
  
   NaHonal	
  Center	
  for	
  ComputaHonal	
  Sciences	
  at	
  Oak	
  Ridge	
  NaHonal	
  
   Laboratory;	
  Oleg	
  Drokin,	
  Lustre	
  Center	
  of	
  Excellence	
  at	
  Oak	
  Ridge	
  NaHonal	
  
   Laboratory	
  and	
  Sun	
  Microsystems	
  Inc.	
  
      –  Spider Jaugar Lustre
         240GB/s        asynchronous	
  journaling	
  commit	
  
•  Panache:	
  A	
  Parallel	
  File	
  System	
  Cache	
  for	
  Global	
  File	
  Access	
  
   Marc	
  Eshel,	
  Roger	
  Haskin,	
  Dean	
  Hildebrand,	
  Manoj	
  Naik,	
  Frank	
  Schmuck,	
  
   and	
  Renu	
  Tewari,	
  IBM	
  Almaden	
  Research	
  
      –                     pNFS NFS	
  4.1                                     GPFS
Making	
  Management	
  More	
  
                      Manageable	
•  BASIL:	
  Automated	
  IO	
  Load	
  Balancing	
  Across	
  Storage	
  Devices	
  
   Ajay	
  GulaE,	
  Chethan	
  Kumar,	
  and	
  Irfan	
  Ahmad,	
  VMware,	
  Inc.;	
  Karan	
  
   Kumar,	
  Carnegie	
  Mellon	
  University	
  
     –  IO                                                                                                        	
  
•  Discovery	
  of	
  ApplicaBon	
  Workloads	
  from	
  Network	
  File	
  Traces	
  
   Neeraja	
  J.	
  Yadwadkar,	
  Chiranjib	
  BhaZacharyya,	
  and	
  K.	
  Gopinath,	
  
   Indian	
  InsHtute	
  of	
  Science;	
  Thirumale	
  Niranjan	
  and	
  Sai	
  Susarla,	
  	
  
   NetApp	
  Advanced	
  Technology	
  Group	
  
     –  profile	
  HMM                      NFS       opecode	
  trace                                      make
        find tar                	
  
•  Provenance	
  for	
  the	
  Cloud	
  
   Kiran-­‐Kumar	
  Muniswamy-­‐Reddy,	
  Peter	
  Macko,	
  and	
  Margo	
  Seltzer,	
  
   Harvard	
  School	
  of	
  Engineering	
  and	
  Applied	
  Sciences	
  
     –  Data	
  provenance                                                                                                 	
  
           •                               TaPP	
  (Theory	
  and	
  PracEce	
  of	
  Provenance)	
  ’10	
  
     –                                  DAG                                                                              	
  
ConcentraBon:	
  The	
  DeduplicaBon	
  Game	
•  I/O	
  DeduplicaBon:	
  UBlizing	
  Content	
  Similarity	
  to	
  Improve	
  I/O	
  
   Performance	
  
   Ricardo	
  Koller	
  and	
  Raju	
  Rangaswami,	
  Florida	
  InternaHonal	
  
   University	
  
     –  on-­‐disk            OS            IO                dedup	
  
•  HydraFS:	
  A	
  High-­‐Throughput	
  File	
  System	
  for	
  the	
  HYDRAstor	
  
   Content-­‐Addressable	
  Storage	
  System	
  
   CrisEan	
  Ungureanu,	
  NEC	
  Laboratories	
  America;	
  Benjamin	
  Atkin,	
  
   Google;	
  Akshat	
  Aranya,	
  Salil	
  Gokhale,	
  and	
  Stephen	
  Rago,	
  NEC	
  
   Laboratories	
  America;	
  Grzegorz	
  Całkowski,	
  VMware;	
  Cezary	
  
   Dubnicki,	
  9LivesData,	
  LLC;	
  Aniruddha	
  Bohra,	
  Akamai	
  
     –  CAS         HYDRAstor FAST’09
                                                      	
  
•  Bimodal	
  Content	
  Defined	
  Chunking	
  for	
  Backup	
  Streams	
  
   Erik	
  Kruus	
  and	
  CrisEan	
  Ungureanu,	
  NEC	
  Laboratories	
  America;	
  
   Cezary	
  Dubnicki,	
  9LivesData,	
  LLC	
  
     –  dedup                                   CDC          	
  
     –  DER
The	
  Power	
  BuQon	
•  EvaluaBng	
  Performance	
  and	
  Energy	
  in	
  File	
  System	
  Server	
  
   Workloads	
  
   Priya	
  Sehgal,	
  Vasily	
  Tarasov,	
  and	
  Erez	
  Zadok,	
  Stony	
  Brook	
  University	
  
     –           web,	
  fs,	
  mail,	
  db FS ext2,	
  ext3,	
  xfs,	
  reiserfs
                   ops/k	
  joule ops/sec                 	
  
     –          ops/sec                                                           	
  
•  SRCMap:	
  Energy	
  ProporBonal	
  Storage	
  Using	
  Dynamic	
  
   ConsolidaBon	
  
   Akshat	
  Verma,	
  IBM	
  Research,	
  India;	
  Ricardo	
  Koller,	
  Luis	
  Useche,	
  and	
  
   Raju	
  Rangaswami,	
  Florida	
  InternaHonal	
  University	
  
     –                                                                                   	
  
•  [Best	
  Paper]	
  Membrane:	
  OperaBng	
  System	
  Support	
  for	
  Restartable	
  
   File	
  Systems	
  
   Swaminathan	
  Sundararaman,	
  Sriram	
  Subramanian,	
  Abhishek	
  
   Rajimwale,	
  Andrea	
  C.	
  Arpaci-­‐Dusseau,	
  Remzi	
  H.	
  Arpaci-­‐Dusseau,	
  
   and	
  Michael	
  M.	
  Swik,	
  University	
  of	
  Wisconsin—Madison
Intel	
  Museum	



                                                   IBM	
  PC	
  (1981)	




Busicom	
  141-­‐PF 1972 	
              ALTAIR	
  8800	
  (1975)

Mais conteúdo relacionado

Semelhante a USENIX FAST2010参加報告

Ntino Cloud BioLinux Barcelona Spain 2012
Ntino Cloud BioLinux Barcelona Spain 2012Ntino Cloud BioLinux Barcelona Spain 2012
Ntino Cloud BioLinux Barcelona Spain 2012Ntino Krampis
 
NSF Software @ ApacheConNA
NSF Software @ ApacheConNANSF Software @ ApacheConNA
NSF Software @ ApacheConNADaniel S. Katz
 
2012 02 pre_hbs_grid_overview_ianstokesrees_pt2
2012 02 pre_hbs_grid_overview_ianstokesrees_pt22012 02 pre_hbs_grid_overview_ianstokesrees_pt2
2012 02 pre_hbs_grid_overview_ianstokesrees_pt2Boston Consulting Group
 
Sander darpa outbrief 081217
Sander darpa outbrief 081217Sander darpa outbrief 081217
Sander darpa outbrief 081217Dan Sander
 
Grid is Dead ? Nimrod on the Cloud
Grid is Dead ? Nimrod on the CloudGrid is Dead ? Nimrod on the Cloud
Grid is Dead ? Nimrod on the CloudAdianto Wibisono
 
ASPLOS10&Vee10 report-suzaki
ASPLOS10&Vee10 report-suzakiASPLOS10&Vee10 report-suzaki
ASPLOS10&Vee10 report-suzakiKuniyasu Suzaki
 
Big Process for Big Data @ NASA
Big Process for Big Data @ NASABig Process for Big Data @ NASA
Big Process for Big Data @ NASAIan Foster
 
Dc sheridan dlf_2011_final
Dc sheridan dlf_2011_finalDc sheridan dlf_2011_final
Dc sheridan dlf_2011_finalSayeed Choudhury
 
Creating a Science-Driven Big Data Superhighway
Creating a Science-Driven Big Data SuperhighwayCreating a Science-Driven Big Data Superhighway
Creating a Science-Driven Big Data SuperhighwayLarry Smarr
 
Scott Edmunds: Data Dissemination in the era of "Big-Data"
Scott Edmunds: Data Dissemination in the era of "Big-Data"Scott Edmunds: Data Dissemination in the era of "Big-Data"
Scott Edmunds: Data Dissemination in the era of "Big-Data"GigaScience, BGI Hong Kong
 
2015 09 emc lsug
2015 09 emc lsug2015 09 emc lsug
2015 09 emc lsugChris Dwan
 
Foundations for the Future of Science
Foundations for the Future of ScienceFoundations for the Future of Science
Foundations for the Future of ScienceGlobus
 
Shrinking the Planet—How Dedicated Optical Networks are Transforming Computat...
Shrinking the Planet—How Dedicated Optical Networks are Transforming Computat...Shrinking the Planet—How Dedicated Optical Networks are Transforming Computat...
Shrinking the Planet—How Dedicated Optical Networks are Transforming Computat...Larry Smarr
 
HPC lab projects
HPC lab projectsHPC lab projects
HPC lab projectsJason Riedy
 
Scott Edmunds: GigaScience - Big-Data, Data Citation and Future Data Handling
Scott Edmunds: GigaScience - Big-Data, Data Citation and Future Data HandlingScott Edmunds: GigaScience - Big-Data, Data Citation and Future Data Handling
Scott Edmunds: GigaScience - Big-Data, Data Citation and Future Data HandlingGigaScience, BGI Hong Kong
 
Carpenter - Wolfram Data Summit ResourceSync
Carpenter - Wolfram Data Summit ResourceSyncCarpenter - Wolfram Data Summit ResourceSync
Carpenter - Wolfram Data Summit ResourceSyncnisohq
 

Semelhante a USENIX FAST2010参加報告 (20)

Ntino Cloud BioLinux Barcelona Spain 2012
Ntino Cloud BioLinux Barcelona Spain 2012Ntino Cloud BioLinux Barcelona Spain 2012
Ntino Cloud BioLinux Barcelona Spain 2012
 
NSF Software @ ApacheConNA
NSF Software @ ApacheConNANSF Software @ ApacheConNA
NSF Software @ ApacheConNA
 
2012 02 pre_hbs_grid_overview_ianstokesrees_pt2
2012 02 pre_hbs_grid_overview_ianstokesrees_pt22012 02 pre_hbs_grid_overview_ianstokesrees_pt2
2012 02 pre_hbs_grid_overview_ianstokesrees_pt2
 
Sander darpa outbrief 081217
Sander darpa outbrief 081217Sander darpa outbrief 081217
Sander darpa outbrief 081217
 
Grid is Dead ? Nimrod on the Cloud
Grid is Dead ? Nimrod on the CloudGrid is Dead ? Nimrod on the Cloud
Grid is Dead ? Nimrod on the Cloud
 
ASPLOS10&Vee10 report-suzaki
ASPLOS10&Vee10 report-suzakiASPLOS10&Vee10 report-suzaki
ASPLOS10&Vee10 report-suzaki
 
Big Process for Big Data @ NASA
Big Process for Big Data @ NASABig Process for Big Data @ NASA
Big Process for Big Data @ NASA
 
Dc sheridan dlf_2011_final
Dc sheridan dlf_2011_finalDc sheridan dlf_2011_final
Dc sheridan dlf_2011_final
 
HDF
HDFHDF
HDF
 
Creating a Science-Driven Big Data Superhighway
Creating a Science-Driven Big Data SuperhighwayCreating a Science-Driven Big Data Superhighway
Creating a Science-Driven Big Data Superhighway
 
Scott Edmunds: Data Dissemination in the era of "Big-Data"
Scott Edmunds: Data Dissemination in the era of "Big-Data"Scott Edmunds: Data Dissemination in the era of "Big-Data"
Scott Edmunds: Data Dissemination in the era of "Big-Data"
 
2015 09 emc lsug
2015 09 emc lsug2015 09 emc lsug
2015 09 emc lsug
 
Foundations for the Future of Science
Foundations for the Future of ScienceFoundations for the Future of Science
Foundations for the Future of Science
 
Shrinking the Planet—How Dedicated Optical Networks are Transforming Computat...
Shrinking the Planet—How Dedicated Optical Networks are Transforming Computat...Shrinking the Planet—How Dedicated Optical Networks are Transforming Computat...
Shrinking the Planet—How Dedicated Optical Networks are Transforming Computat...
 
HPC lab projects
HPC lab projectsHPC lab projects
HPC lab projects
 
Scott Edmunds: GigaScience - Big-Data, Data Citation and Future Data Handling
Scott Edmunds: GigaScience - Big-Data, Data Citation and Future Data HandlingScott Edmunds: GigaScience - Big-Data, Data Citation and Future Data Handling
Scott Edmunds: GigaScience - Big-Data, Data Citation and Future Data Handling
 
Carpenter - Wolfram Data Summit ResourceSync
Carpenter - Wolfram Data Summit ResourceSyncCarpenter - Wolfram Data Summit ResourceSync
Carpenter - Wolfram Data Summit ResourceSync
 
Resource Sync - Introduction
Resource Sync - IntroductionResource Sync - Introduction
Resource Sync - Introduction
 
10 abrams
10 abrams10 abrams
10 abrams
 
Research Objects in Wf4Ever
Research Objects in Wf4EverResearch Objects in Wf4Ever
Research Objects in Wf4Ever
 

Mais de Ryousei Takano

Error Permissive Computing
Error Permissive ComputingError Permissive Computing
Error Permissive ComputingRyousei Takano
 
Opportunities of ML-based data analytics in ABCI
Opportunities of ML-based data analytics in ABCIOpportunities of ML-based data analytics in ABCI
Opportunities of ML-based data analytics in ABCIRyousei Takano
 
ABCI: An Open Innovation Platform for Advancing AI Research and Deployment
ABCI: An Open Innovation Platform for Advancing AI Research and DeploymentABCI: An Open Innovation Platform for Advancing AI Research and Deployment
ABCI: An Open Innovation Platform for Advancing AI Research and DeploymentRyousei Takano
 
クラウド環境におけるキャッシュメモリQoS制御の評価
クラウド環境におけるキャッシュメモリQoS制御の評価クラウド環境におけるキャッシュメモリQoS制御の評価
クラウド環境におけるキャッシュメモリQoS制御の評価Ryousei Takano
 
USENIX NSDI 2016 (Session: Resource Sharing)
USENIX NSDI 2016 (Session: Resource Sharing)USENIX NSDI 2016 (Session: Resource Sharing)
USENIX NSDI 2016 (Session: Resource Sharing)Ryousei Takano
 
User-space Network Processing
User-space Network ProcessingUser-space Network Processing
User-space Network ProcessingRyousei Takano
 
Flow-centric Computing - A Datacenter Architecture in the Post Moore Era
Flow-centric Computing - A Datacenter Architecture in the Post Moore EraFlow-centric Computing - A Datacenter Architecture in the Post Moore Era
Flow-centric Computing - A Datacenter Architecture in the Post Moore EraRyousei Takano
 
A Look Inside Google’s Data Center Networks
A Look Inside Google’s Data Center NetworksA Look Inside Google’s Data Center Networks
A Look Inside Google’s Data Center NetworksRyousei Takano
 
クラウド時代の半導体メモリー技術
クラウド時代の半導体メモリー技術クラウド時代の半導体メモリー技術
クラウド時代の半導体メモリー技術Ryousei Takano
 
AIST Super Green Cloud: lessons learned from the operation and the performanc...
AIST Super Green Cloud: lessons learned from the operation and the performanc...AIST Super Green Cloud: lessons learned from the operation and the performanc...
AIST Super Green Cloud: lessons learned from the operation and the performanc...Ryousei Takano
 
IEEE CloudCom 2014参加報告
IEEE CloudCom 2014参加報告IEEE CloudCom 2014参加報告
IEEE CloudCom 2014参加報告Ryousei Takano
 
Expectations for optical network from the viewpoint of system software research
Expectations for optical network from the viewpoint of system software researchExpectations for optical network from the viewpoint of system software research
Expectations for optical network from the viewpoint of system software researchRyousei Takano
 
Exploring the Performance Impact of Virtualization on an HPC Cloud
Exploring the Performance Impact of Virtualization on an HPC CloudExploring the Performance Impact of Virtualization on an HPC Cloud
Exploring the Performance Impact of Virtualization on an HPC CloudRyousei Takano
 
不揮発メモリとOS研究にまつわる何か
不揮発メモリとOS研究にまつわる何か不揮発メモリとOS研究にまつわる何か
不揮発メモリとOS研究にまつわる何かRyousei Takano
 
High-resolution Timer-based Packet Pacing Mechanism on the Linux Operating Sy...
High-resolution Timer-based Packet Pacing Mechanism on the Linux Operating Sy...High-resolution Timer-based Packet Pacing Mechanism on the Linux Operating Sy...
High-resolution Timer-based Packet Pacing Mechanism on the Linux Operating Sy...Ryousei Takano
 
クラウドの垣根を超えた高性能計算に向けて~AIST Super Green Cloudでの試み~
クラウドの垣根を超えた高性能計算に向けて~AIST Super Green Cloudでの試み~クラウドの垣根を超えた高性能計算に向けて~AIST Super Green Cloudでの試み~
クラウドの垣根を超えた高性能計算に向けて~AIST Super Green Cloudでの試み~Ryousei Takano
 
From Rack scale computers to Warehouse scale computers
From Rack scale computers to Warehouse scale computersFrom Rack scale computers to Warehouse scale computers
From Rack scale computers to Warehouse scale computersRyousei Takano
 
高性能かつスケールアウト可能なHPCクラウド AIST Super Green Cloud
高性能かつスケールアウト可能なHPCクラウド AIST Super Green Cloud高性能かつスケールアウト可能なHPCクラウド AIST Super Green Cloud
高性能かつスケールアウト可能なHPCクラウド AIST Super Green CloudRyousei Takano
 
Iris: Inter-cloud Resource Integration System for Elastic Cloud Data Center
Iris: Inter-cloud Resource Integration System for Elastic Cloud Data CenterIris: Inter-cloud Resource Integration System for Elastic Cloud Data Center
Iris: Inter-cloud Resource Integration System for Elastic Cloud Data CenterRyousei Takano
 

Mais de Ryousei Takano (20)

Error Permissive Computing
Error Permissive ComputingError Permissive Computing
Error Permissive Computing
 
Opportunities of ML-based data analytics in ABCI
Opportunities of ML-based data analytics in ABCIOpportunities of ML-based data analytics in ABCI
Opportunities of ML-based data analytics in ABCI
 
ABCI: An Open Innovation Platform for Advancing AI Research and Deployment
ABCI: An Open Innovation Platform for Advancing AI Research and DeploymentABCI: An Open Innovation Platform for Advancing AI Research and Deployment
ABCI: An Open Innovation Platform for Advancing AI Research and Deployment
 
ABCI Data Center
ABCI Data CenterABCI Data Center
ABCI Data Center
 
クラウド環境におけるキャッシュメモリQoS制御の評価
クラウド環境におけるキャッシュメモリQoS制御の評価クラウド環境におけるキャッシュメモリQoS制御の評価
クラウド環境におけるキャッシュメモリQoS制御の評価
 
USENIX NSDI 2016 (Session: Resource Sharing)
USENIX NSDI 2016 (Session: Resource Sharing)USENIX NSDI 2016 (Session: Resource Sharing)
USENIX NSDI 2016 (Session: Resource Sharing)
 
User-space Network Processing
User-space Network ProcessingUser-space Network Processing
User-space Network Processing
 
Flow-centric Computing - A Datacenter Architecture in the Post Moore Era
Flow-centric Computing - A Datacenter Architecture in the Post Moore EraFlow-centric Computing - A Datacenter Architecture in the Post Moore Era
Flow-centric Computing - A Datacenter Architecture in the Post Moore Era
 
A Look Inside Google’s Data Center Networks
A Look Inside Google’s Data Center NetworksA Look Inside Google’s Data Center Networks
A Look Inside Google’s Data Center Networks
 
クラウド時代の半導体メモリー技術
クラウド時代の半導体メモリー技術クラウド時代の半導体メモリー技術
クラウド時代の半導体メモリー技術
 
AIST Super Green Cloud: lessons learned from the operation and the performanc...
AIST Super Green Cloud: lessons learned from the operation and the performanc...AIST Super Green Cloud: lessons learned from the operation and the performanc...
AIST Super Green Cloud: lessons learned from the operation and the performanc...
 
IEEE CloudCom 2014参加報告
IEEE CloudCom 2014参加報告IEEE CloudCom 2014参加報告
IEEE CloudCom 2014参加報告
 
Expectations for optical network from the viewpoint of system software research
Expectations for optical network from the viewpoint of system software researchExpectations for optical network from the viewpoint of system software research
Expectations for optical network from the viewpoint of system software research
 
Exploring the Performance Impact of Virtualization on an HPC Cloud
Exploring the Performance Impact of Virtualization on an HPC CloudExploring the Performance Impact of Virtualization on an HPC Cloud
Exploring the Performance Impact of Virtualization on an HPC Cloud
 
不揮発メモリとOS研究にまつわる何か
不揮発メモリとOS研究にまつわる何か不揮発メモリとOS研究にまつわる何か
不揮発メモリとOS研究にまつわる何か
 
High-resolution Timer-based Packet Pacing Mechanism on the Linux Operating Sy...
High-resolution Timer-based Packet Pacing Mechanism on the Linux Operating Sy...High-resolution Timer-based Packet Pacing Mechanism on the Linux Operating Sy...
High-resolution Timer-based Packet Pacing Mechanism on the Linux Operating Sy...
 
クラウドの垣根を超えた高性能計算に向けて~AIST Super Green Cloudでの試み~
クラウドの垣根を超えた高性能計算に向けて~AIST Super Green Cloudでの試み~クラウドの垣根を超えた高性能計算に向けて~AIST Super Green Cloudでの試み~
クラウドの垣根を超えた高性能計算に向けて~AIST Super Green Cloudでの試み~
 
From Rack scale computers to Warehouse scale computers
From Rack scale computers to Warehouse scale computersFrom Rack scale computers to Warehouse scale computers
From Rack scale computers to Warehouse scale computers
 
高性能かつスケールアウト可能なHPCクラウド AIST Super Green Cloud
高性能かつスケールアウト可能なHPCクラウド AIST Super Green Cloud高性能かつスケールアウト可能なHPCクラウド AIST Super Green Cloud
高性能かつスケールアウト可能なHPCクラウド AIST Super Green Cloud
 
Iris: Inter-cloud Resource Integration System for Elastic Cloud Data Center
Iris: Inter-cloud Resource Integration System for Elastic Cloud Data CenterIris: Inter-cloud Resource Integration System for Elastic Cloud Data Center
Iris: Inter-cloud Resource Integration System for Elastic Cloud Data Center
 

Último

08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking MenDelhi Call girls
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)wesley chun
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Servicegiselly40
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...Neo4j
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUK Journal
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptxHampshireHUG
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Enterprise Knowledge
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Miguel Araújo
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...apidays
 
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024Results
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdfhans926745
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking MenDelhi Call girls
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEarley Information Science
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfEnterprise Knowledge
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonAnna Loughnan Colquhoun
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityPrincipled Technologies
 

Último (20)

08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
 
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
 

USENIX FAST2010参加報告

  • 1. 8th  USENIX   Conference  on  File  and  Storage   Technologies  (FAST  ’10)   2010 3 31
  • 2. USENIX •    –  Annual  Technical  Conference   –  FAST:  Conference  on  File  and  Storage  Technologies   –  LISA:  Large  InstallaEon  System  AdministraEon  Conference   –  OSDI:  Symposium  on  OperaEng  Systems  Design  and   ImplementaEon   –  NSDI:  Symposium  on  Networked  Systems  Design  and   ImplementaEon   –  Security  Symposium   •    –  Hot{Cloud,  Dep,  Mobile,  OS,  Par,  Power,  Sec,  Storage}  
  • 3. FAST’10   •  2010 2 23 26   •    •    •  20% 18/89   •  350+   –  NEC   NEDO hZp://www.usenix.org/   events/fast10/
  • 4. Tutorials •  Solid-­‐State  Storage:  Technology,  Design,  and   ApplicaBon,  Richard  Freitas  and  Larry  Chiu,  IBM   –  PCM   •  ASPLOS  2010 Best  paper PCM   –  Quick  Silver SSD   •  SSD   •  Storage  and  Network  DeduplicaBon  Technologies,   Michael  Condict,  NetApp   –  dedup   –  dedup   •  Clustered  and  Parallel  Storage  System  Technologies,   Marc  Unangst,  Panasas  
  • 5. Keynote  Addresses •  Technology  for  Developing  Regions   Eric  Brewer,  University  of  California,  Berkeley   –  IT   •  WiLDNet WiFi   •  TierStore FS   •  Enterprise  AnalyBcs  on  Demand   Oliver  Ratzesberger,  eBay,  Inc.   –  eBay PayPal IO  intensive   –  AnalyEcs  as  a  Service
  • 6. Best  Paper  Awards •  quFiles:  The  Right  File  at  the  Right  Time   Kaushik  Veeraraghavan  and  Jason  Flinn,  University  of  Michigan;   Edmund  B.  NighEngale,  MicrosoB  Research,  Redmond;  Brian  Noble,   University  of  Michigan   –    –  Versioning Security  (Context-­‐aware) Odyssey  (ApplicaEon-­‐ aware) Plahorm-­‐specific  display   •  Membrane:  OperaBng  System  Support  for  Restartable  File   Systems   Swaminathan  Sundararaman,  Sriram  Subramanian,  Abhishek   Rajimwale,  Andrea  C.  Arpaci-­‐Dusseau,  Remzi  H.  Arpaci-­‐Dusseau,   and  Michael  M.  Swik,  University  of  Wisconsin—Madison   –    •    –  Linux  FS  sub  system
  • 7. Build  a  BeQer  File  System  and  the   World  Will  Beat  a  Path  to  Your  Door •  [Best  Paper]  quFiles:  The  Right  File  at  the  Right  Time   Kaushik  Veeraraghavan  and  Jason  Flinn,  University  of   Michigan;  Edmund  B.  NighHngale,  MicrosoB  Research,   Redmond;  Brian  Noble,  University  of  Michigan   •  Tracking  Back  References  in  a  Write-­‐Anywhere  File  System   Peter  Macko  and  Margo  Seltzer,  Harvard  University;  Keith  A.   Smith,  NetApp,  Inc.   –  FS CoW writable  snapshot inode back  reference   •  End-­‐to-­‐end  Data  Integrity  for  File  Systems:  A  ZFS  Case  Study   Yupu  Zhang,  Abhishek  Rajimwale,  Andrea  C.  Arpaci-­‐Dusseau,   and  Remzi  H.  Arpaci-­‐Dusseau,  University  of  Wisconsin— Madison   –  fault  injecEon ZFS  
  • 8. Looking  for  Trouble •  Black-­‐Box  Problem  Diagnosis  in  Parallel  File  Systems   Michael  P.  Kasick,  Carnegie  Mellon  University;  Jiaqi  Tan,  DSO  NaHonal   Labs,  Singapore;  Rajeev  Gandhi  and  Priya  Narasimhan,  Carnegie  Mellon   University   –  BlueGene/P  PVFS   –  ”Limping-­‐but-­‐alive” IO   •  A  Clean-­‐Slate  Look  at  Disk  Scrubbing   Alina  Oprea  and  Ari  Juels,  RSA  Laboratories   –  Disk  Scrubbing (LSE)   –  LSE Staggering adapEve  rate   –  SIGMETRICS’07 L.N.Bairavasundaram   •  Understanding  Latent  Sector  Errors  and  How  to  Protect  Against  Them   Bianca  Schroeder,  SoErios  Damouras,  and  Phillipa  Gill,  University  of   Toronto   –  Scrubbing Intra-­‐disk  redundancy   –  NetApp LSE 20-­‐60%   10 50%  
  • 9. Flash:  Savior  of  the  Universe? •  DFS:  A  File  System  for  Virtualized  Flash  Storage   William  K.  Josephson  and  Lars  A.  Bongo,  Princeton  University;  David  Flynn,   Fusion-­‐io;  Kai  Li,  Princeton  University   –  Fusion-­‐io ioDrive   –    •  Extending  SSD  LifeBmes  with  Disk-­‐Based  Write  Caches   Gokul  Soundararajan,  University  of  Toronto;  Vijayan  Prabhakaran,  Mahesh   Balakrishnan,  and  Ted  Wobber,  MicrosoB  Research  Silicon  Valley   –  Griffin SSD HDD   –  sequenEal  write HDD   •  Write  Endurance  in  Flash  Drives:  Measurements  and  Analysis   Simona  Boboila  and  Peter  Desnoyers,  Northeastern  University   –  USB FTL Flash  TranslaEon  Layer   –  IO HDD→ → GC   – 
  • 10. I/O,  I/O,  to  Parallel  I/O  We  Go •  AcceleraBng  Parallel  Analysis  of  ScienBfic  SimulaBon  Data  via  Zazen   Tiankai  Tu,  Charles  A.  Rendleman,  Patrick  J.  Miller,  Federico  SacerdoE,  and   Ron  O.  Dror,  D.E.  Shaw  Research;  David  E.  Shaw,  D.E.  Shaw  Research  and   Columbia  University   –  Zazen   •  Efficient  Object  Storage  Journaling  in  a  Distributed  Parallel  File  System   Sarp  Oral,  Feiyi  Wang,  David  Dillow,  Galen  Shipman,  and  Ross  Miller,   NaHonal  Center  for  ComputaHonal  Sciences  at  Oak  Ridge  NaHonal   Laboratory;  Oleg  Drokin,  Lustre  Center  of  Excellence  at  Oak  Ridge  NaHonal   Laboratory  and  Sun  Microsystems  Inc.   –  Spider Jaugar Lustre 240GB/s asynchronous  journaling  commit   •  Panache:  A  Parallel  File  System  Cache  for  Global  File  Access   Marc  Eshel,  Roger  Haskin,  Dean  Hildebrand,  Manoj  Naik,  Frank  Schmuck,   and  Renu  Tewari,  IBM  Almaden  Research   –  pNFS NFS  4.1 GPFS
  • 11. Making  Management  More   Manageable •  BASIL:  Automated  IO  Load  Balancing  Across  Storage  Devices   Ajay  GulaE,  Chethan  Kumar,  and  Irfan  Ahmad,  VMware,  Inc.;  Karan   Kumar,  Carnegie  Mellon  University   –  IO   •  Discovery  of  ApplicaBon  Workloads  from  Network  File  Traces   Neeraja  J.  Yadwadkar,  Chiranjib  BhaZacharyya,  and  K.  Gopinath,   Indian  InsHtute  of  Science;  Thirumale  Niranjan  and  Sai  Susarla,     NetApp  Advanced  Technology  Group   –  profile  HMM NFS opecode  trace make find tar   •  Provenance  for  the  Cloud   Kiran-­‐Kumar  Muniswamy-­‐Reddy,  Peter  Macko,  and  Margo  Seltzer,   Harvard  School  of  Engineering  and  Applied  Sciences   –  Data  provenance   •  TaPP  (Theory  and  PracEce  of  Provenance)  ’10   –  DAG  
  • 12. ConcentraBon:  The  DeduplicaBon  Game •  I/O  DeduplicaBon:  UBlizing  Content  Similarity  to  Improve  I/O   Performance   Ricardo  Koller  and  Raju  Rangaswami,  Florida  InternaHonal   University   –  on-­‐disk OS IO dedup   •  HydraFS:  A  High-­‐Throughput  File  System  for  the  HYDRAstor   Content-­‐Addressable  Storage  System   CrisEan  Ungureanu,  NEC  Laboratories  America;  Benjamin  Atkin,   Google;  Akshat  Aranya,  Salil  Gokhale,  and  Stephen  Rago,  NEC   Laboratories  America;  Grzegorz  Całkowski,  VMware;  Cezary   Dubnicki,  9LivesData,  LLC;  Aniruddha  Bohra,  Akamai   –  CAS HYDRAstor FAST’09   •  Bimodal  Content  Defined  Chunking  for  Backup  Streams   Erik  Kruus  and  CrisEan  Ungureanu,  NEC  Laboratories  America;   Cezary  Dubnicki,  9LivesData,  LLC   –  dedup CDC   –  DER
  • 13. The  Power  BuQon •  EvaluaBng  Performance  and  Energy  in  File  System  Server   Workloads   Priya  Sehgal,  Vasily  Tarasov,  and  Erez  Zadok,  Stony  Brook  University   –  web,  fs,  mail,  db FS ext2,  ext3,  xfs,  reiserfs ops/k  joule ops/sec   –  ops/sec   •  SRCMap:  Energy  ProporBonal  Storage  Using  Dynamic   ConsolidaBon   Akshat  Verma,  IBM  Research,  India;  Ricardo  Koller,  Luis  Useche,  and   Raju  Rangaswami,  Florida  InternaHonal  University   –    •  [Best  Paper]  Membrane:  OperaBng  System  Support  for  Restartable   File  Systems   Swaminathan  Sundararaman,  Sriram  Subramanian,  Abhishek   Rajimwale,  Andrea  C.  Arpaci-­‐Dusseau,  Remzi  H.  Arpaci-­‐Dusseau,   and  Michael  M.  Swik,  University  of  Wisconsin—Madison
  • 14. Intel  Museum IBM  PC  (1981) Busicom  141-­‐PF 1972 ALTAIR  8800  (1975)