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Assoc. Prof. Abzetdin ADAMOV Chair of Computer Engineering Department aadamov@qu.edu.az http://ce.qu.edu.az/~aadamov Shahdag, 29 November 2014 
Latest Trends in Technology: BigData Analytics, Virtualization, Cloud Computing, Internet of Things (IoT)
Content 
•Why Data Mining in BigData? 
•Internet Statistics 
•BigData Infrastructure 
•Web Crowlers for Web Analytics 
•Natural Language Processing (NLP) 
•Virtualization 
•Introduction to Cloud Computing 
•Introduction to Internet of Things (IoT)
Digital Universe volume of digital data 
•2008 – 480.000 petabytes (PB) 
•2009 – 800.000 PB 
•2010 – 1200 000 PB or 1.2 zettabyte (ZB) 
•2011 – 1.8 ZB 
•2012 – 2.7 ZB 
•2014 ~ 6.2 ZB 
•Expected to reach 35 ZB by 2020 
IDC's Digital Universe Study
Big Measures for Big Data 
•kilobyte (kB) 103 210 
•megabyte (MB) 106 220 
•gigabyte (GB) 109 230 
•terabyte (TB) 1012 240 
•petabyte (PB) 1015 250 
•exabyte (EB) 1018 260 
•zettabyte (ZB) 1021 270 
•yottabyte (YB) 1024 280
Why Data Grows so Fast? 
Data sets gathered by ubiquity devices: 
•Information-sensing mobile devices, 
•Aerial sensory technologies (remote sensing), 
•Software logs, 
•Cameras, 
•Microphones, 
•Radio-frequency identification readers, 
•wireless sensor networks
Internet is Biggest Country 
31111551339301601000200030004000millionUSAIndiaChinaInternetPopulation9,629,9717,07514,450200400600million square kmUSACanadaRussiaInternetArea
Internet Penetration 
13 
12,4 
8,2 
4,1 
1,5 
1,1 
0,9 
0,6 
0,59 
0,5 
0,34 
0,32 
0,04 
0,03 
0 
2 
4 
6 
8 
10 
12 
14 
16 
18 
20 
22 
24 
26 
28 
30 
EE 
LV 
RU 
LT 
BY 
UA 
KG 
AM 
KZ 
UZ 
GE 
MD 
AZ 
TM 
TJ 
Internet Penetration (%) 
Country Internet Codes 
Note: Internet stats for December 2001 Avarage Internet usage ın the world 8% - 500 Million - 2001
Foundations of the Web 
34,7 
18 
15 
10 
5,2 5 
3 2,7 2,3 2,2 1,8 1,8 1,3 0,9 0,8 
0 2 4 6 8 
10 
12 
14 
16 
18 
20 
22 
24 
26 
28 
30 
32 
34 
36 
38 
40 
EE LV RU LT BY UA KG AZ AM KZ UZ GE MD TM TJ 
Country Internet Codes 
Internet Penetration (%) 
Note: Internet stats for December 2004
Foundations of the Web 
65,6 
59,4 59,2 
29,1 
27,1 
18,2 
16,2 14,7 13,8 12,3 
8,8 7,8 6,6 5,8 
1,4 
0 
5 
10 
15 
20 
25 
30 
35 
40 
45 
50 
55 
60 
65 
70 
EE LV LT BY RU AZ MD UA KG KZ UZ GE TJ AM TM 
Country Internet Codes 
Internet Penetration (%) 
Note: Internet stats for September 2009 
Avarage Internet usage in the world 21.9%
Foundations of the Web 
68,2 
59,5 
47,1 46 
44,1 
40 39,3 
34,1 33,9 
30,9 
28,3 26,8 
9,2 
1,6 
0 
5 
10 
15 
20 
25 
30 
35 
40 
45 
50 
55 
60 
65 
70 
EE LV LT AM BY AZ RU KG KZ UA MD GE UZ TJ TM 
Country Internet Codes 
Internet Penetration (%) 
Note: Internet stats for March 2011 
Avarage Internet usage ın the world 30.2%
Foundations of the Web 
78 
71,1 
65,1 
60,6 
50 
47,7 46 45 44,8 
34,1 
30,2 
28,4 
26 
13 
5 
0 
5 
10 
15 
20 
25 
30 
35 
40 
45 
50 
55 
60 
65 
70 
75 
80 
EE LV LT AM AZ RU BY KZ MD UA UZ GE UZ TJ TM 
Country Internet Code 
Internet Penetration (%) 
Note: Internet stats for June 2012 
Avarage Internet usage ın the world 34.3% 
http://www.internetworldstats.com
Internet Penetration 
79 
74 
68 
54,2 
53,3 
53,3 
46,9 
45,5 
43,4 
39,2 
36,5 
33,7 
21,7 
14,5 
7,2 
0 
5 
10 
15 
20 
25 
30 
35 
40 
45 
50 
55 
60 
65 
70 
75 
80 
EE 
LV 
LT 
AZ 
RU 
KZ 
BY 
GE 
MD 
AM 
UZ 
UA 
KG 
TJ 
TM 
Internet Penetration (%) 
Country Internet Codes 
Note: Internet stats for March 2013 Avarage Internet usage ın the world 39% - 2,7 Billion - 2013
Top 15 Most Popular Social Networking Sites | January 2014 
1,310,000,000 - Estimated Unique Monthly Visitors | 2 - Compete Rank 
313,000,000 - Estimated Unique Monthly Visitors | 24 - Compete Rank 
277,000,000 - Estimated Unique Monthly Visitors | 44 - Compete Rank 
70,500,000 - Estimated Unique Monthly Visitors | 51 - Compete Rank 
740,000,000 - Estimated Unique Monthly Visitors 
25,500,000 - Estimated Unique Monthly Visitors | 346 - Compete Rank 
20,500,000 - Estimated Unique Monthly Visitors | 605 - Compete Rank 
19,500,000 - Estimated Unique Monthly Visitors | 447 - Compete Rank 
17,500,000 - Estimated Unique Monthly Visitors | *NA* - Compete Rank 
12,500,000 - Estimated Unique Monthly Visitors | 127 - Compete Rank 
12,000,000 - Estimated Unique Monthly Visitors | 617 - Compete Rank 
7,500,000 - Estimated Unique Monthly Visitors | 838 - Compete Rank 
5,400,000 - Estimated Unique Monthly Visitors | 122 - Compete Rank 
3,000,000 - Estimated Unique Monthly Visitors | 451 - Compete Rank 
2,500,000 - Estimated Unique Monthly Visitors | 1,596 - Compete Rank 
Social Networking
Why Internet became so Popular? ?
SUN 
SUN 
1 
2 
3 
4 
5 
6 
7 
8 Foundations of the WEB 
DNS 
DNS 
DNS 
DNS 
- Countries, Cities, User Groups, …
Problem with Moore’s Law 
•The number of transistors that can be placed on an integrated circuit doubles every 18 months to two years 
•It’s predicted to reach its limit with existing technology in 2020 
•Cutting the size of a transistor to a single atom may defeat that concept 
•The Digital Universe is growing much more faster than Processing Power
BigData Infrastructure
Google’s First Data Centers 
Google’s first data center
Google New Data Centers 
Map of Google Data Centers Worldwide 
450,000 servers range upwards of 20 megawatts, which cost on the order of US$2 million per month in electricity charges.
Google Data Centers 
Google data center in Belgium
Google Data Centers 
Google data center in Finland
Everything as a Service 
•Utility computing = Infrastructure as a Service (IaaS) 
–Why buy machines when you can rent cycles? 
–Examples: Amazon’s EC2 (Elastic Compute Cloud), Rackspace, Microsoft Azure 
•Platform as a Service (PaaS) 
–Give me nice API and take care of the maintenance, upgrades, … 
–Example: Google App Engine 
•Software as a Service (SaaS) 
–Just run it for me! 
–Example: Gmail, Salesforce
Web Crowlers for Web Analytics 
•Indexing 
•Searching 
•Ranking 
•Analysis 
•Crowling is Essential Job for all Internet Giants: Google, Yahoo, Facebook, etc. 
Some of available open source crowlers: Apache Nutch, Crawler4j, Bixo, Heritrix, etc.
Web Crowlers for Web Analytics 
•Thanks to Crowlers any website can appear in search results without doing any extra work. 
•Customized Crowling by METATags and “ROBOTS.TXT”
Natural Language Processing (NLP) 
•Natural Language Processing (NLP) 
•Computational Linguistics (CL) 
•Machine Translation (MT)
Natural Language Processing (NLP) 
•Multilingual NLP 
•Text Mining in Multimedia Networks 
•Mining Text Streams 
•Text Mining in Social Media 
•Cross-Lingual Mining of Text Data 
•Contextual analysis of text data 
Some of availables NLP tools: NLTK, Apache OpenNLP, MontyLingua, VisualText, etc.
Data Mining and Knowledge Discovery 
Data-driven Decision Making Model
Virtualization as an 
Infrastructure 
Hardware 
Operating System 
App 
App 
App 
Traditional Stack 
Hardware 
OS 
App 
App 
App 
Hypervisor 
OS 
OS 
Virtualized Stack
Cloud Computing
Cloud Computing
Cloud Computing
IP Address – Dotted decimal notation 
•32 bit binary 
•Four 8-bit octets 
Ex: 11100011010100101001101110110001 
11100011 - 01010010 - 10011101 - 10110001 
E3 - 52 - 9D - B1 
•What’s a subnet ? 
–device interfaces with same subnet part of IP address 
–can physically reach each other without intervening router Example: 122.97.211.200 We can view these values in their binary form. 
122 
97 
211 
200 
01111010 
01100001 
11010011 
11001000
Internet of Things (IoT)
Internet of Things (IoT)
CeDAWI Center 
Applied Research Center for Data Analytics and Web Insights (CeDAWI)
Data Mining and Knowledge Discovery 
•Text Mining from Web 
•Natural Language Processing 
•Web Crawling 
•Large-Scale Data Management and Processing 
•Internet Structure Research and Visualization 
•Knowledge visualization 
•Cluster and Distributed Computings
Thank you 
Questions 
http://ce.qu.edu.az/~aadamov

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Latest Trends in Technology: BigData Analytics, Virtualization, Cloud Computing, Internet of Things (IoT)

  • 1. Assoc. Prof. Abzetdin ADAMOV Chair of Computer Engineering Department aadamov@qu.edu.az http://ce.qu.edu.az/~aadamov Shahdag, 29 November 2014 Latest Trends in Technology: BigData Analytics, Virtualization, Cloud Computing, Internet of Things (IoT)
  • 2. Content •Why Data Mining in BigData? •Internet Statistics •BigData Infrastructure •Web Crowlers for Web Analytics •Natural Language Processing (NLP) •Virtualization •Introduction to Cloud Computing •Introduction to Internet of Things (IoT)
  • 3. Digital Universe volume of digital data •2008 – 480.000 petabytes (PB) •2009 – 800.000 PB •2010 – 1200 000 PB or 1.2 zettabyte (ZB) •2011 – 1.8 ZB •2012 – 2.7 ZB •2014 ~ 6.2 ZB •Expected to reach 35 ZB by 2020 IDC's Digital Universe Study
  • 4. Big Measures for Big Data •kilobyte (kB) 103 210 •megabyte (MB) 106 220 •gigabyte (GB) 109 230 •terabyte (TB) 1012 240 •petabyte (PB) 1015 250 •exabyte (EB) 1018 260 •zettabyte (ZB) 1021 270 •yottabyte (YB) 1024 280
  • 5. Why Data Grows so Fast? Data sets gathered by ubiquity devices: •Information-sensing mobile devices, •Aerial sensory technologies (remote sensing), •Software logs, •Cameras, •Microphones, •Radio-frequency identification readers, •wireless sensor networks
  • 6. Internet is Biggest Country 31111551339301601000200030004000millionUSAIndiaChinaInternetPopulation9,629,9717,07514,450200400600million square kmUSACanadaRussiaInternetArea
  • 7. Internet Penetration 13 12,4 8,2 4,1 1,5 1,1 0,9 0,6 0,59 0,5 0,34 0,32 0,04 0,03 0 2 4 6 8 10 12 14 16 18 20 22 24 26 28 30 EE LV RU LT BY UA KG AM KZ UZ GE MD AZ TM TJ Internet Penetration (%) Country Internet Codes Note: Internet stats for December 2001 Avarage Internet usage ın the world 8% - 500 Million - 2001
  • 8. Foundations of the Web 34,7 18 15 10 5,2 5 3 2,7 2,3 2,2 1,8 1,8 1,3 0,9 0,8 0 2 4 6 8 10 12 14 16 18 20 22 24 26 28 30 32 34 36 38 40 EE LV RU LT BY UA KG AZ AM KZ UZ GE MD TM TJ Country Internet Codes Internet Penetration (%) Note: Internet stats for December 2004
  • 9. Foundations of the Web 65,6 59,4 59,2 29,1 27,1 18,2 16,2 14,7 13,8 12,3 8,8 7,8 6,6 5,8 1,4 0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 EE LV LT BY RU AZ MD UA KG KZ UZ GE TJ AM TM Country Internet Codes Internet Penetration (%) Note: Internet stats for September 2009 Avarage Internet usage in the world 21.9%
  • 10. Foundations of the Web 68,2 59,5 47,1 46 44,1 40 39,3 34,1 33,9 30,9 28,3 26,8 9,2 1,6 0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 EE LV LT AM BY AZ RU KG KZ UA MD GE UZ TJ TM Country Internet Codes Internet Penetration (%) Note: Internet stats for March 2011 Avarage Internet usage ın the world 30.2%
  • 11. Foundations of the Web 78 71,1 65,1 60,6 50 47,7 46 45 44,8 34,1 30,2 28,4 26 13 5 0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 EE LV LT AM AZ RU BY KZ MD UA UZ GE UZ TJ TM Country Internet Code Internet Penetration (%) Note: Internet stats for June 2012 Avarage Internet usage ın the world 34.3% http://www.internetworldstats.com
  • 12. Internet Penetration 79 74 68 54,2 53,3 53,3 46,9 45,5 43,4 39,2 36,5 33,7 21,7 14,5 7,2 0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 EE LV LT AZ RU KZ BY GE MD AM UZ UA KG TJ TM Internet Penetration (%) Country Internet Codes Note: Internet stats for March 2013 Avarage Internet usage ın the world 39% - 2,7 Billion - 2013
  • 13. Top 15 Most Popular Social Networking Sites | January 2014 1,310,000,000 - Estimated Unique Monthly Visitors | 2 - Compete Rank 313,000,000 - Estimated Unique Monthly Visitors | 24 - Compete Rank 277,000,000 - Estimated Unique Monthly Visitors | 44 - Compete Rank 70,500,000 - Estimated Unique Monthly Visitors | 51 - Compete Rank 740,000,000 - Estimated Unique Monthly Visitors 25,500,000 - Estimated Unique Monthly Visitors | 346 - Compete Rank 20,500,000 - Estimated Unique Monthly Visitors | 605 - Compete Rank 19,500,000 - Estimated Unique Monthly Visitors | 447 - Compete Rank 17,500,000 - Estimated Unique Monthly Visitors | *NA* - Compete Rank 12,500,000 - Estimated Unique Monthly Visitors | 127 - Compete Rank 12,000,000 - Estimated Unique Monthly Visitors | 617 - Compete Rank 7,500,000 - Estimated Unique Monthly Visitors | 838 - Compete Rank 5,400,000 - Estimated Unique Monthly Visitors | 122 - Compete Rank 3,000,000 - Estimated Unique Monthly Visitors | 451 - Compete Rank 2,500,000 - Estimated Unique Monthly Visitors | 1,596 - Compete Rank Social Networking
  • 14. Why Internet became so Popular? ?
  • 15. SUN SUN 1 2 3 4 5 6 7 8 Foundations of the WEB DNS DNS DNS DNS - Countries, Cities, User Groups, …
  • 16. Problem with Moore’s Law •The number of transistors that can be placed on an integrated circuit doubles every 18 months to two years •It’s predicted to reach its limit with existing technology in 2020 •Cutting the size of a transistor to a single atom may defeat that concept •The Digital Universe is growing much more faster than Processing Power
  • 18. Google’s First Data Centers Google’s first data center
  • 19. Google New Data Centers Map of Google Data Centers Worldwide 450,000 servers range upwards of 20 megawatts, which cost on the order of US$2 million per month in electricity charges.
  • 20. Google Data Centers Google data center in Belgium
  • 21. Google Data Centers Google data center in Finland
  • 22. Everything as a Service •Utility computing = Infrastructure as a Service (IaaS) –Why buy machines when you can rent cycles? –Examples: Amazon’s EC2 (Elastic Compute Cloud), Rackspace, Microsoft Azure •Platform as a Service (PaaS) –Give me nice API and take care of the maintenance, upgrades, … –Example: Google App Engine •Software as a Service (SaaS) –Just run it for me! –Example: Gmail, Salesforce
  • 23. Web Crowlers for Web Analytics •Indexing •Searching •Ranking •Analysis •Crowling is Essential Job for all Internet Giants: Google, Yahoo, Facebook, etc. Some of available open source crowlers: Apache Nutch, Crawler4j, Bixo, Heritrix, etc.
  • 24. Web Crowlers for Web Analytics •Thanks to Crowlers any website can appear in search results without doing any extra work. •Customized Crowling by METATags and “ROBOTS.TXT”
  • 25. Natural Language Processing (NLP) •Natural Language Processing (NLP) •Computational Linguistics (CL) •Machine Translation (MT)
  • 26. Natural Language Processing (NLP) •Multilingual NLP •Text Mining in Multimedia Networks •Mining Text Streams •Text Mining in Social Media •Cross-Lingual Mining of Text Data •Contextual analysis of text data Some of availables NLP tools: NLTK, Apache OpenNLP, MontyLingua, VisualText, etc.
  • 27. Data Mining and Knowledge Discovery Data-driven Decision Making Model
  • 28. Virtualization as an Infrastructure Hardware Operating System App App App Traditional Stack Hardware OS App App App Hypervisor OS OS Virtualized Stack
  • 32. IP Address – Dotted decimal notation •32 bit binary •Four 8-bit octets Ex: 11100011010100101001101110110001 11100011 - 01010010 - 10011101 - 10110001 E3 - 52 - 9D - B1 •What’s a subnet ? –device interfaces with same subnet part of IP address –can physically reach each other without intervening router Example: 122.97.211.200 We can view these values in their binary form. 122 97 211 200 01111010 01100001 11010011 11001000
  • 35. CeDAWI Center Applied Research Center for Data Analytics and Web Insights (CeDAWI)
  • 36. Data Mining and Knowledge Discovery •Text Mining from Web •Natural Language Processing •Web Crawling •Large-Scale Data Management and Processing •Internet Structure Research and Visualization •Knowledge visualization •Cluster and Distributed Computings
  • 37. Thank you Questions http://ce.qu.edu.az/~aadamov