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LEADER 03152cam 2200505Ii 4500

001 ocn951119142;

003 OCoLC;

005 20160810033257.0;

006 m o d ;

007 cr unu||||||||;

008 160603s2016 ncua obm 000 0 eng d;

035 a| (Sirsi) o951119142;

035 a| (OCoLC)951119142;

049 a| EREE;

090 a| TJ163.5.D38;

100 1 a| Azimzadeh, Aryan,e| author.?| UNAUTHORIZED;

245 12 a| A dynamic power management schema for multi-tier data centers /c| by Aryan Azimzadeh.;

264 1 a| [Greenville, N.C.] :b| [East Carolina University],c| 2016.;

300 a| 44 pages :b| illustrations;

336 a| textb| txt2| rdacontent;

337 a| computerb| c2| rdamedia;

338 a| online resourceb| cr2| rdacarrier;

347 a| text fileb| PDFc| 468.7 KB2| rda;

538 a| System requirements: Adobe Reader.;

538 a| Mode of access: World Wide Web.;

502 b| M.S.c| East Carolina Universityd| 2016.;

500 a| Presented to the faculty of the Department of Computer Science.;

500 a| Advisor: Nasseh Tabrizi.;

500 a| Title from PDF t.p. (viewed July 1, 2016).;

520 3 a| An issue of great concern as it relates to global warming is power consumption and efficient use of computers especially in large data centers. Data centers have an important role in IT infrastructures because of their huge power consumption. This thesis explores the sleep state of data centers' servers under specific conditions such as setup time and identifies optimal number of servers. Moreover, their potential to greatly increase energy efficiency in data centers. We use a dynamic power management policy based on a mathematical model. Our new methodology is based on the optimal number of servers required in each tier while increasing servers' setup time after sleep mode to reduce the power consumption. The Reactive approach is used to prove the validity of the results and energy efficiency by calculating the average power consumption of each server under specific sleep mode and setup time. We introduce a new methodology that uses average power consumption to calculate the Normalized-Performance-Per-Watt in order to evaluate the power efficiency. Our results indicate that the proposed schema is beneficial for data centers with high setup time.;

504 a| Includes bibliographical references.;

650 0 a| Data processing service centersx| Energy conservation.=| ^A879703;

650 0 a| Energy consumption.=| ^A65029;

650 0 a| Computersx| Power supply.=| ^A1304533;

653 a| Dynamic Power Managment;

700 1 a| Tabrizi, M. H. N.,e| degree supervisor.?| UNAUTHORIZED;

710 2 a| East Carolina University.b| Department of Computer Science.?| UNAUTHORIZED;

856 40 z| Access via ScholarShipu| http://hdl.handle.net/10342/5340;

949 o| wjh;

994 a| C0b| ERE;

596 a| 1 4;

998 a| 4407959;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 4407959-1001l| JNETm| JOYNERr| Ys| Yt| JNE3ETDu| 6/3/2016x| ETDz| JERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 4407959-2001l| HSLELECm| HSLr| Ys| Yt| HEETDu| 6/3/2016x| ETDz| HERESOURCE;

A dynamic power management schema for multi-tier data centers / by Aryan Azimzadeh.

Author/creator	Azimzadeh, Aryan author.
Other author	Tabrizi, M. H. N., degree supervisor.
Other author	East Carolina University. Department of Computer Science.
Format	Theses and dissertations
Publication	[Greenville, N.C.] : [East Carolina University], 2016.
Description	44 pages : illustrations
Supplemental Content	Access via ScholarShip
Subjects	Data processing service centers--Energy conservation. Energy consumption. Computers--Power supply.

Summary	An issue of great concern as it relates to global warming is power consumption and efficient use of computers especially in large data centers. Data centers have an important role in IT infrastructures because of their huge power consumption. This thesis explores the sleep state of data centers' servers under specific conditions such as setup time and identifies optimal number of servers. Moreover, their potential to greatly increase energy efficiency in data centers. We use a dynamic power management policy based on a mathematical model. Our new methodology is based on the optimal number of servers required in each tier while increasing servers' setup time after sleep mode to reduce the power consumption. The Reactive approach is used to prove the validity of the results and energy efficiency by calculating the average power consumption of each server under specific sleep mode and setup time. We introduce a new methodology that uses average power consumption to calculate the Normalized-Performance-Per-Watt in order to evaluate the power efficiency. Our results indicate that the proposed schema is beneficial for data centers with high setup time.
General note	Presented to the faculty of the Department of Computer Science.
General note	Advisor: Nasseh Tabrizi.
General note	Title from PDF t.p. (viewed July 1, 2016).
Dissertation note	M.S. East Carolina University 2016.
Bibliography note	Includes bibliographical references.
Technical details	System requirements: Adobe Reader.
Technical details	Mode of access: World Wide Web.

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