The Government of the Russian Federation
The state educational budgetary establishment for the higher professional education
«National Research University Higher School of Economics»
Computer Science Faculty
Program Engineering Department
Program of the training course «Datacenter in modern information
infrastructure»
for direction 09.04.04 – «Program engineering» of training for the master
Authors:
Evgeniy Isaev
Maxim Amzarakov
Rafael Sukhov
eisaev@hse.ru
m.amzarakov@uptimetechnology.ru
r.sukhov@uptimetechnology.ru
Approved at the meeting basic chair of
the Stack Group
Head of Department
_______________ E.A. Isaev
« »
2015 г.
Moscow – 2015
This document may not be reproduced or redistributed by other Departments of the University without permission of the
Authors.
I.
Course summary
Program Authors:
Evgeniy Isaev, Doctor of Science, Professor, Head of Department for Education Stack
Group.
Maxim Amzarakov, Director of Uptime and Energy efficiency Data Center technologies
Institute (Uptime Institute) Independent Non-profit Organization, Moscow, Russia.
Rafael Sukhov, Financial Executive of Uptime and Energy efficiency Data Center
technologies Institute (Uptime Institute) Independent Non-profit Organization, Moscow,
Russia.
General course data:
The main course application is in the master level program “Management of software
development” at the department of the program engineering of business-informatics faculty.
The course takes place as the optional professional skills courses in the master level program
of education. The course scheduled to be given during the second semester of first year of
education. The code of the course in the educational plan is М2.В.ДВ.6.
The number of credits – 6, total hours – 192. A classroom hour 76 consists of: 20 hour
of lectures, 32 hours of seminars. The number of hours for self-study – 140.
The student’s knowledge requirements:
The course requires the basic knowledge of technical fields of science.
II.
Course description
The program is based on the practical experience of the lecturers brought from the
business of development, operation and auditing the datacenters (DC), from the high-grade
specialists, companies, partners in connection with the lecturers. The accurate selection of the
given data and material and practical studies provides the student with clear understanding of
the subject: the role of the datacenters in informational era; economical aspects of the
datacenter business; diversity of the services coming from the datacenters; datacenters
providers and consumers; basic DC components and its reliability and economy.
III.
Course goals
The students will receive the knowledge of:
-
The modern DCs role in the information world and macroeconomics;
-
The purpose and benefits of using DC;
-
The main players in the world of DC;
-
The set of services provided by DC operators;
-
The Russian DC market and its demand.
The students will got the first experience of:
-
The design of the DC and its components;
-
Assessment of economic effects of using DC;
-
Assessment of reliability and technical aspects of the DC;
-
Classifying DC by its reliability and provided services;
-
Classifying DC by the target customer (the niches);
-
Risk analyses of the IT infrastructure using DC;
-
DC topology selection in order to meet desired level of reliability of IT;
-
DC topology assessment.
The course develops the following competencies:
1. Projecting activities

Skills to form the technical requirements and ability to manage the software
development process (ПК-7);

Skills to assess and select the methodology of the design (ПК-8).
2. Technological activities

The ability to apply modern technologies of software development applying the
computer systems and software for planning and management, provide the
quality control of the developed software (ПК-9).
3. Production activities

The skills to make a planning and management of the software development
process (ПК-10).
4. Organizational and management activities

The ability to count and assess the circumstances and consequences of the
management decisions (ПК-14);

The ability to develop the technical requirements and to develop the economical
arguments (ПК-15);

The ability to arrange the work of the group of software developers, the skills to
manage the work of subcontractors (ПК-16).
5. Service and support activities

The ability to select the technical and economical model of the software
lifecycle (ПК-17).
IV.
Course schedule
Subject
1
2
3
4
5
6
7
8
9
10
11
12
13
Total hours
Course and company summary, DC
explanation.
Topic 1. Datacenter today. History of
datacenter.
Current
state.
Development tendencies.
Topic 2. Datacenter in the market. DC
services. DC market review.
Module 1 subtotal:
Topic 3. DC visit. Reliability and power
capacity of the DC. Technologies of the
DC
Topic 4. Low and regulations basis of
the datacenter security.
Datacenter standards.
Topic 5. Modern approach of the
datacenter design and operation.
Modular DCs
Topic 6. DC economics. Design and
build economics. Run and operations
economics.
Module 2 subtotal:
Topic 7. Worldwide economics.
Datacenters. Money as debt. Loan or
service.
Topic 8. Establishing the 24/7
operation staff.
Topic 9. DC market overview. DC
outsourcing. Growth trends worldwide.
Reports and analytics.
Topic 10. DC technology components.
DC security.
Topic 11. The history of the Internet.
Information and technology security
Topic 12. DC business planning based
on the general services. Return of
investments.
Examinaiton
Module 3 subtotal:
Total:
Classroom hours
Lectures
Self-study
Seminars
10
2
2
6
8
2
-
6
12
2
4
6
30
6
6
18
16
2
2
12
15
1
2
12
15
1
2
12
20
2
6
12
66
6
12
48
11
1
2
8
15
1
2
12
15
1
2
12
16
2
2
12
13
1
-
12
16
2
2
12
10
108
192
18
20
4
16
32
6
74
140
V.
























References
Vasilyev R.B., Kalyanov G.N., Lyevochkina G.А. Development management of
information systems. –М.: hot line–Telekom, 2009.
Tsarev V.V., Kantarovich А.А., Chernish V.V. Competitiveness evaluation of
companies.-М.: YuNITI-DANA, 2008.
Fleisher К., Bensussan B. Strategin and competitive analysis. –М.: Binom. Knowledge
laboratiry, 2009.
Basin I., Shurshalin S. DPC outsourcing // Connect! Connection world (Мир Связи) №
8, 2008.
Aksenov Е, Altschuler I. Outsourcing: 10 commandments and 21 tools.-SPb: SaintPetersburg, 2009.
Sukhov R.R., Amzarakov M.B. How much will my business the energy efficiency
/Bankovskie technologii/ #6, 2011.
Sukhov R.R. How calculate the costs of data center /Network World/ #4, 2008.
Bullen, C.V. & Rockart, J.F. (1981). A primer on critical success factors. Cambridge,
MA: Massachusetts Institute of Technology, Sloan School of Management, Centre for
Information Systems Research. (CISR No. 69. Sloan WP No. 1220-81.)
Shifrin М.B. Strategic management –SPb.: Saint Petersburg, 2009.
Orlov S. Virtualization «from and to» / «Magazine for network solutions/LAN», №2,
2010.
Orlov S. DPC service outsourcing: does it worth it?/ « Magazine for network solutions
/LAN», №7,2009.
Pavlov А. Rules for current DPC operation // Magazine for network solutions LAN, №7,
2007.
APC. 2007. Determining total cost of ownership for data center and network room
infrastructure. American Power Conversion. White paper #6, Revision 3
A Simple Model for Determining True Total Cost of Ownership for Data Centers,
Version 2.1, March 31, 2008, By Jonathan Koomey, Ph.D. with Kenneth Brill, Pitt
Turner, John Stanley, and Bruce Taylor
HIGH PERFORMANCE DATA CENTERS, A Design Guidelines Sourcebook, January
2006 by Rumsey Engineers, in part, based upon work by Lawrence Berkeley National
Laboratory supported by the California Energy Commission's Public Interest Energy
Research program.
. SP–3-0092 document: (TIA-942 standard, 7.0 edition, February 2005
The Invisible Crisis in the Data Center: The Economic Meltdown of Moore’s Law, By
Kenneth G. Brill, 2007
Belady, Christian L. “In the data center, power and cooling costs more than the IT
equipment it supports.” Electronics Cooling. February 2007. pp. 24-27.
The Green Grid. 2007. Green Grid Metrics: Describing Data Center Power Efficiency.
The Green Grid, Technical Committee.
Turner, W. Pitt, John H. Seader, and Kenneth G. Brill. 2006. Tier classifications define
site infrastructure performance. Santa Fe, NM: The Uptime Institute.
Turner, W. Pitt, and John H. Seader. 2006. Dollars per kW Plus Dollars Per Square
Foot are a Better Data Center Cost Model than Dollars Per Square Foot Alone. Santa
Fe, NM: Uptime Institute.
TIA/EIA-942. Telecommunications Infrastructure Standard for Data Center .
Abdeev R.F. Philosophy of information civilization. - М.: Vlados, 1994
Kevin Kelly. New Rules for the New Economy, Viking Penguin, 1998




Ed Sperling, Next-generation Data Center, Forbes, 2010
Kharatishvili D. Data centres: Yesterday, Today, Tomorrow. Computer Press №11,
2007.
Zaetdinov R. Data center. «Banks and business world», № 1, 2006.
Basina N. Data centres: Key factors. «CIO» №2, 2005.
VI. Forms and types of testing
Final Score: examination at the end of 4th module;
Intermediate score: given at seminars. Form of scoring – control work. Subjects of
testing see “Control works”. The score rating of the testing is 10 degrees scale.
Final score includes testing (control work).
Examination score structure:
Form
Contribution to the final score (%)
Control work
30
Work on seminars
30
Exam
40
Assessment compliance table – ten-point rating to 5-point rating
Ten-point scale
Five-point scale
1 – unsatisfactory
2 - very bad
3 – bad
4 - satisfactory
5 – very satisfactory
unsatisfactory - 2
6 - well
7 – very well
Well – 4
8 - almost perfect
9 - perfect
10 - excellent
excellent - 5
satisfactory - 3
VII.
Course contents
Course and company summary, DC explanation.
Theme contents:






Tutor and students introduction
Course review
Company introduction. Brief history. DC development history
Modern information infrastructure overview.
Information society
Information infrastructure development tendencies
References

Abdeev R.F. Philosophy of information civilization. - М.: Vlados, 1994

Kevin Kelly. New Rules for the New Economy, Viking Penguin, 1998

Ed Sperling, Next-generation Data Center, Forbes, 2010

Vasilyev R.B., Kalyanov G.N., Lyevochkina G.А. Development management of
information systems. –М.: hot line–Telekom, 2009.

Tsarev V.V., Kantarovich А.А., Chernish V.V. Competitiveness evaluation of
companies.-М.: YuNITI-DANA, 2008.

Basin I., Shurshalin S. DPC outsourcing // Connect! Connection world (Мир
Связи) № 8, 2008.

Aksenov Е, Altschuler I. Outsourcing: 10 commandments and 21 tools.-SPb:
Saint-Petersburg, 2009.

Sukhov R.R., Amzarakov M.B. How much will my business the energy efficiency
/Bankovskie technologii/ #6, 2011.

Sukhov R.R. How calculate the costs of data center /Network World/ #4, 2008.
Topic 1. Datacenter today. History of datacenter. Current state. Development
tendencies.
Theme contents:







History of datacenter. From ENIAC/ENIGMA till today
DC today. DC positioning on customers and providers. Service triangle.
DC terminology.
Main DC components.
DC development tendencies.
DC services
DC consumers.
References





Kharatishvili D. Data centres: Yesterday, Today, Tomorrow. Computer Press №11,
2007.
Tsarev V.V., Kantarovich А.А., Chernish V.V. Competitiveness evaluation of
companies.-М.: YuNITI-DANA, 2008.
Shifrin М.B. Strategic management –SPb.: Saint Petersburg, 2009.
Orlov S. Virtualization «from and to» / «Magazine for network solutions/LAN», №2,
2010.
The Invisible Crisis in the Data Center: The Economic Meltdown of Moore’s Law, By
Kenneth G. Brill, 2007
Topic 2. Datacenter in the market. DC services. DC market review.
Theme contents:






DC categorization by consumers and by providers
Service triangle
Services catalog
Consumers and providers of DC services on the Russian market
DC services consumers of today's life
DC geography
References

Zaetdinov R. Data center. «Banks and business world», № 1, 2006.

Basina N. Data centres: Key factors. «CIO» №2, 2005.

Vasilyev R.B., Kalyanov G.N., Lyevochkina G.А. Development management of
information systems. –М.: hot line–Telekom, 2009.

Tsarev V.V., Kantarovich А.А., Chernish V.V. Competitiveness evaluation of
companies.-М.: YuNITI-DANA, 2008.

Fleisher К., Bensussan B. Strategin and competitive analysis. –М.: Binom.
Knowledge laboratiry, 2009.

Basin I., Shurshalin S. DPC outsourcing // Connect! Connection world (Мир
Связи) № 8, 2008.

Sukhov R.R., Amzarakov M.B. How much will my business the energy efficiency
/Bankovskie technologii/ #6, 2011.

Bullen, C.V. & Rockart, J.F. (1981). A primer on critical success factors.
Cambridge, MA: Massachusetts Institute of Technology, Sloan School of Management,
Centre for Information Systems Research. (CISR No. 69. Sloan WP No. 1220-81.)

Shifrin М.B. Strategic management –SPb.: Saint Petersburg, 2009.

Pavlov А. Rules for current DPC operation // Magazine for network solutions LAN,
№7, 2007.
Topic 3. DC visit. Reliability and power capacity of the DC. Technologies of the
DC.
Theme contents:

o
o
o




Terminology:
Reliability
Availability
Power capacity
End user SLA calculation methodology
DC technology impact on reliability of the high level service
DC Technology design approach. Reliability levels and money efficiency
Dive into the technology details of the datacenter
References



Sukhov R.R. How calculate the costs of data center /Network World/ #4, 2008.
HIGH PERFORMANCE DATA CENTERS, A Design Guidelines Sourcebook, January
2006 by Rumsey Engineers, in part, based upon work by Lawrence Berkeley National
Laboratory supported by the California Energy Commission's Public Interest Energy
Research program.
. SP–3-0092 document: (TIA-942 standard, 7.0 edition, February 2005






The Invisible Crisis in the Data Center: The Economic Meltdown of Moore’s Law, By
Kenneth G. Brill, 2007
Belady, Christian L. “In the data center, power and cooling costs more than the IT
equipment it supports.” Electronics Cooling. February 2007. pp. 24-27.
The Green Grid. 2007. Green Grid Metrics: Describing Data Center Power Efficiency.
The Green Grid, Technical Committee.
Turner, W. Pitt, John H. Seader, and Kenneth G. Brill. 2006. Tier classifications define
site infrastructure performance. Santa Fe, NM: The Uptime Institute.
Turner, W. Pitt, and John H. Seader. 2006. Dollars per kW Plus Dollars Per Square
Foot are a Better Data Center Cost Model than Dollars Per Square Foot Alone. Santa
Fe, NM: Uptime Institute.
TIA/EIA-942. Telecommunications Infrastructure Standard for Data Center .
Topic 4. Low and regulations basis of the datacenter security.
Datacenter standards.
Theme contents:







Certification and licensing requirements for the DC services providers
Certification and licensing authorities
Standardization institutions in relation to the DC
Datacenter and governmental offices inter-relations.
DC standards. Standards review and the field of its applications.
DC standards list. Source of standards documents.
Real life DC example. Reliability category assessment.
References

Basina N. Data centres: Key factors. «CIO» №2, 2005.

Tsarev V.V., Kantarovich А.А., Chernish V.V. Competitiveness evaluation of
companies.-М.: YuNITI-DANA, 2008.

Fleisher К., Bensussan B. Strategy and competitive analysis. –М.: Binom.
Knowledge laboratiry, 2009.

Basin I., Shurshalin S. DPC outsourcing // Connect! Connection world (Мир
Связи) № 8, 2008.

Shifrin М.B. Strategic management –SPb.: Saint Petersburg, 2009.

Pavlov А. Rules for current DPC operation // Magazine for network solutions LAN,
№7, 2007.

SP–3-0092 document: (TIA-942 standard, 7.0 edition, February 2005

The Green Grid. 2007. Green Grid Metrics: Describing Data Center Power
Efficiency. The Green Grid, Technical Committee.

Turner, W. Pitt, John H. Seader, and Kenneth G. Brill. 2006. Tier classifications
define site infrastructure performance. Santa Fe, NM: The Uptime Institute.

Turner, W. Pitt, and John H. Seader. 2006. Dollars per kW Plus Dollars Per Square
Foot are a Better Data Center Cost Model than Dollars Per Square Foot Alone. Santa
Fe, NM: Uptime Institute.

TIA/EIA-942. Telecommunications Infrastructure Standard for Data Center .
Topic 5. Modern approach of the datacenter design and operation. Modular DCs
Theme contents:







General service of the DC
Cost structure of DC
Cost structure of DC service
DC technologies
Modular approach
DC resources.
Modular technologies
Topic 6. DC economics. Design and build economics. Run and operations
economics.
Theme contents:













DC economics
DC build economics
DC operation economics
Energy efficiency
General approach of assessment of DC. Costs for space and power.
DC reliability and costs.
Mass effect.
DC cost structure
Own land/building vs rent. Economical risks.
DC cost evaluation
DC costs examples. Small corporate and huge commercial
DC operation cost structure
DC outsourcing cost effect
References

Vasilyev R.B., Kalyanov G.N., Lyevochkina G.А. Development management of
information systems. –М.: hot line–Telekom, 2009.

Sukhov R.R., Amzarakov M.B. How much will my business the energy efficiency
/Bankovskie technologii/ #6, 2011.

Sukhov R.R. How calculate the costs of data center /Network World/ #4, 2008.

APC. 2007. Determining total cost of ownership for data center and network room
infrastructure. American Power Conversion. White paper #6, Revision 3

A Simple Model for Determining True Total Cost of Ownership for Data Centers,
Version 2.1, March 31, 2008, By Jonathan Koomey, Ph.D. with Kenneth Brill, Pitt Turner,
John Stanley, and Bruce Taylor

Belady, Christian L. “In the data center, power and cooling costs more than the IT
equipment it supports.” Electronics Cooling. February 2007. pp. 24-27.

The Green Grid. 2007. Green Grid Metrics: Describing Data Center Power
Efficiency. The Green Grid, Technical Committee.

Turner, W. Pitt, John H. Seader, and Kenneth G. Brill. 2006. Tier classifications
define site infrastructure performance. Santa Fe, NM: The Uptime Institute.

Turner, W. Pitt, and John H. Seader. 2006. Dollars per kW Plus Dollars Per Square
Foot are a Better Data Center Cost Model than Dollars Per Square Foot Alone. Santa
Fe, NM: Uptime Institute.
Topic 7. Worlwide economics. Money. DC.
Theme contents:
 The history of money
 Monetarism






Valuable money
Demonetization of the gold
Money as debt
IMF and worldwide financial system
Money and power
DC services as kind of credit
Topic 8. 24/7 support
Theme contents:





What to operate in DC
Systems and services an operator’s view
DC operations orgchart
Dispatching, Monitoring, Control
24/7 ready emergency staff
Topic 9. DC market overview. DC outsourcing. Market volume
Theme contents:









DC classification based on the set of services
Company products
Company services
Targets, Technics, Results
Serivices triangle
Service catalogue
Targets, resource, results of the service
Market research reports.
How to read the market research report. Classifications and comparisons
References:

Basina N. Data centres: Key factors. «CIO» №2, 2005.

Zaetdinov R. Data center. «Banks and business world», № 1, 2006.

Vasilyev R.B., Kalyanov G.N., Lyevochkina G.А. Development management of
information systems. –М.: hot line–Telekom, 2009.

Tsarev V.V., Kantarovich А.А., Chernish V.V. Competitiveness evaluation of
companies.-М.: YuNITI-DANA, 2008.

Fleisher К., Bensussan B. Strategin and competitive analysis. –М.: Binom.
Knowledge laboratiry, 2009.

Basin I., Shurshalin S. DPC outsourcing // Connect! Connection world (Мир
Связи) № 8, 2008.

Aksenov Е, Altschuler I. Outsourcing: 10 commandments and 21 tools.-SPb:
Saint-Petersburg, 2009.

Sukhov R.R., Amzarakov M.B. How much will my business the energy efficiency
/Bankovskie technologii/ #6, 2011.

Sukhov R.R. How calculate the costs of data center /Network World/ #4, 2008.
Topic 10. DC
Theme contents:




DC infrastructure levels
DC components specifics
Components tasks and functions
DC security
 Information and technology security
Topic 11. Internet inside – battlefield
Theme contents:





Internet as the subject to scientific discovery
Internet phenomena
History of Internet. Technology and humanity
Definition of Internet.
Internet security
Topic 12. DC business planning based on the simple set of services.
Theme contents:
 Business plan and business case
 Financial plan
 Analytics and reporting
VIII.
Test materials subjects
Topics to prepare the exam work
1.
Uptime Institute datacenter topology classification. Classify the certain DC.
2.
New DC costs assessment based on the source data and category.
3.
DC operation costs based on the source data and category. Or outsourcing efficiency
estimation.
Questions to assess the quality of the understanding of the discipline















Define datacenter
Describe the DC categories based on consumers and providers
Describe main technology components of the DC
Describe basic services of the DC
Describe: reliability, availability, power capacity
Describe any methods of SLA calculation
How to assess the reliability of the high level service
Describe different technologies in the DC
Describe the approach in DC reliability category assessment
Describe requirement in certification and licensing for DC provider company
Describe main standard in the field of datacenter
Describe the TIA-942 classification
Describe coast structure of the DC build project
Descibe DC services
Analyse and calculate the TCO of the DC based on the basic DC parameters
Student record (Scoring)
Student record is performed in the oral form.
Program authors __________________ M. Amzarakov, E. Isaev, R. Sukhov