Linux administration roles and responsibilities

www.enrollmytraining.com
www.enrollmytraining.com,Mail Us: info@enrollmytraining.com
Call Us:+91-9705981289,Skype id: enrollmy.training
Linux administrationroles and responsibilities
Summary 5 years experience on Grid Computing, a specialized knowledge and
administration experience on both gLite and OSG Grid Middleware. Remarkable research
and administration experience on storage systems like dCache, Lustre, NFS. 2 years full
administration experience on ATLAS Tier2/Tier3 site (AGLT2 in USATLAS).
Solid programming skills in Perl, Linux C/C++, Shell. Education background Sep, 2000--Jun,
2004 Bachelor, Beijing Normal University, Information School Main Classes: C language,
C++ language, Operating System, Computer System Architecture, Principles of
Microcomputer and Interface Technology, Assembly Language, Principles of Compilation
Sep, 2004--Dec, 2009 Master and PhD student, IHEP, Computer Center Main Classes: Design
and Analysis of Computer Algorithms, Software Engineering, Principles of Database Design,
Advanced Network Technology, Distributed System, High Performance Computing,
Network Security, Analysis of Network Performance.
2 Research Interests: Massive Storage Systems, Distributed File Systems, Grid Storage
System and Grid Middleware.
Qualifications: English Skills： „ Good score in CET6, excellent verbal and written
communication skills in English. „ 2 years of research experience in the University of
Michigan. „ Great communication, presentation, writing skills in both English and Chinese.
„ Very familiar with North American culture, geography and customs.
Computer Skills： „ 6 years experience on Redhat Linux, great skill in configuring,
troubleshooting and tuning various Linux services, also familiar with Solaris, FreeBSD and
Debian. „ 5 years experience with Perl Programming (Scripting and Perl CGI) and Linux
C/C++ programming, 1 year experience with PHP, 1 year experience with C#, asp, asp.net,
familiar with Java, Linux Shell, sed, awk, Python. „ 2 years programming experience on
Mysql, Postgresql databases, 3 months on SQL Server.
„ Administration experience: 9 3 years with dCache Massive Storage System, 2 years with
NFS, 1 year with Lustre,3 years with grid middleware(both gLite and OSG). 9 Remarkable
experience in performance tuning of PostgreSQL, Mysql databases, RAID, JVM. Research
Qualification: „ Strong specialized knowledge of Massive Storage Systems, Distributed File
Systems, Grid Middleware, High Performance Computing.

„ Skilled in formulating scientific problems and designing experimental research
methodology. „ Solid specialized knowledge of classic computer algorithms. „ Solid
experience in programming with Perl, Linux C/C++. 3 „ Experienced in collecting, analyzing
and presenting scientific data. „ Experience of presentation in both national and
international conferences.
„ Publications in scientific journals and national/international conferences. Work
Experience June 2007--May 2009 Visiting Scholar in Physics department, the University of
Michigan Participated in the construction and research work for AGLT2 in USATLAS.
Responsible for primary research work on achieving stability, high performance, and
availability for production systems. Specific research topics include: „ Designed and
implemented a management system dCDB for dCache to address the stability, availability,
health issues of the massive storage system during full production capacity. „ Proposed a
new frequency based dynamic replication strategy and implemented it on dCache system. „
Proposed and implemented a dynamic and extensible performance test tool SEperf to
benchmark the performance of grid storage system. „ Benchmarking and tuning of local IO
and network resources. „ Performance tuning of dCache massive storage system and
PostgreSQL, Mysql, JVM. „
Performance research on Lustre distributed file system. „ Participated in USATLAS
Tier2/Tier3, OSG workshops and Utralight tutorials, giving presentations on topics as
performance tuning on local resources and gaining high availability on dCache system. Feb
2004--May 2007 PhD Student in Computer Center, Institute of High Energy Physics „
Developed a grid job submission client based on Web Service architecture. „ Developed an
online bookstore website with asp.net, SQL Server, C# on the .net platform.
„ Developed a GUI for CASTOR client with gtk2.0 and GDK on Redhat Linux. „ Participated
in the BES (BEijing Spectrometer) grid project, responsible for the deployment and
management of the BES Grid testbed (includes grid middleware services as CE, SE, WN, RB,
BDII, Myproxy, R-GMA, GridICE, UI and LFC). 4 „ Tutoring for the EUChinagrid 2nd/3rd
tutorials, giving tutorials on topics as Grid Information System and Special Jobs on Grid.
„ As a member of the WP5 of the EUChinagrid project, participated in the deployment and
maintenance of the Gilda IHEP-BEIJING Grid site. „ Responsible for the deployment and
administration of Quattor (a system to install and configurate computer clusters) on IHEP
computer clusters, defined and implemented templates for local software to make
configuration information updates dynamically and automatically. „ Planned and

performed performance tests and diagnosed compatibility problems on CASTOR massive
storage system with STK, IBM, ADIC Tape Libraries.
Appendice 2: Research Work on Doctoral dissertation
Research on Performance of Grid Storage System over 10Gb
Network
With the pervasive use of 10Gb WAN and continually increasing requirements of
storage and computing from the new generation of high energy of physics, Grid
storage is facing great challenges. Grid Storage with high availability, reliability,
stability and IO performance is required for a massive, fully loaded HEP
computing production system. To address these problems, the following research
work has been done in this dissertation:
Performance Tuning on Grid Storage System
Based on the 3-layer model of grid storage service,
benchmark and tune various factors which affect the IO
performance. On the Physical Storage layer, based on the
typical RAID system, benchmark and tune parameters at
controller level (PCI Slots, RAID Controller, RAID Levels,
Parallel Disk Numbers, Read and Write Policies, Stripe
Width of RAID Controller), Operating System kernel
level(Various kernels, IO scheduler, the depth of request
queue, maximum waiting number on request queue, read
ahead size ) and File system level(Inode size, stripe
unite/stripe width ,external and internal log device of XFS
file system). Storage servers achieved over 60% IO
performance improvement with all the tunings. On the
Storage System layer, performance of Postgresql and JVM
are tuned to serve continuously increased data access
requests. On the Grid Protocol layer, GridFTP and SRM
performance are tuned to improve the data transfer
performance.
Efficient Management on Massive Storage System
A management system dCDB is designed and implemented
in order to address the integrity, consistency, balance and
availability problems which are commonly brought in by
massive production systems. dCDB provides functions as
monitoring, resource statistics, alert, maintenance,
troubleshooting and automatic system restore. A new
Fuzzy Pool Balance (FPB) strategy is proposed to solve the
two dimensional imbalance problems on storage pools:
space and file number imbalances.

DynamicReplication inMassive Storage
Based on the characteristics of topology and storage unit of
Massive Storage Systems, a new Frequency Based
Dynamic Replication strategy is proposed and applied to
the dCache system. Compared with traditional dynamic
replica strategies, FBDR use two newly proposed
algorithms called OFMI and TFMS to identify high frequency
files based on their access record history and improve the
hit rate of hot files(archive 70% hit rate). FBDR takes
7
System available space, system load and IO performance of
storage pools into account to decide the location to
replicate files. This not only improves the IO performance
(improved by 80%) of frequently accessed files, but also
balances the system load and resource consumptions on
different storage pools.
Grid Performance Test Tool SEperf
To benchmark the performance of Grid Storage Service, a
Performance test tool SEperf is proposed and implemented.
Compared with other grid benchmark tool, SEperf is tightly
related to the features of grid storage use patterns. It
supports dynamically extensible clients, different IO
patterns, various ways of source file generation, and real
time monitoring on resource consumption and test
processes. SEperf also supports integrated tests and
makes comparison plots based on all test results. As an
auxiliary tool, SEperf can be used to benchmark the
reliability, stability and performance of grid storage
systems.
http://www.enrollmytraining.com/linux-administration-online-training/

Linux administration roles and responsibilities

Recomendados

Recomendados

Mais conteúdo relacionado

Mais de enrollmy training

Mais de enrollmy training (18)

Último

Último (20)

Linux administration roles and responsibilities