GREEN GEOGRAPHICALLY LOAD BALANCING USING VIABILITY OF DISTRIBUTED DATA CENTERS’ LOCAL CONDITION FOR ENERGY EFFICIENCY

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TAHERI SOMAYYEH; GOUDARZI MAZIAR

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Seminar Paper

Paper Information

Seminar: INTERNATIONAL CONFERENCE ON WEB RESEARCH
Year:2019 | Issue:5

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Title

GREEN GEOGRAPHICALLY LOAD BALANCING USING VIABILITY OF DISTRIBUTED DATA CENTERS’ LOCAL CONDITION FOR ENERGY EFFICIENCY

Author(s)

TAHERI SOMAYYEH | GOUDARZI MAZIAR

Keywords

DISTRIBUTED DATA CENTER

FREE COOLING

LOAD BALANCING

POWER USAGE EFFECTIVENESS

RENEWABLE ENERGY SOURCE

Abstract

NOWADAYS, DISTRIBUTED DATA CENTERS (DCS) ARE VERY COMMON, BECAUSE OF PROVIDING MORE ENERGY EFFICIENCY, HIGHER SYSTEM AVAILABILITY AS WELL AS FLEXIBILITY. IN A DISTRIBUTED CLOUD, EACH LOCAL DC RESPONDS TO THE SPECIFIC PORTION OF THE INCOMING LOAD WHICH DISTRIBUTED BASED ON DIFFERENT GEOGRAPHICALLY LOAD BALANCING (GLB) POLICIES. TAKING ADVANTAGES OF DIVERSITY IN CONDITIONS AMONG DISTRIBUTED DCS, GLB HAS THE PROMISE OF SIGNIFICANT MONETARY SAVING. ONE OF THE BASIC ASSESSMENT METRICS AMONG DCS IS POWER USAGE EFFECTIVENESS (PUE). CONVENTIONALLY, PUE IS CONSIDERED AS A CONSTANT VALUE WHICH IS THE RATIO OF THE TOTAL POWER REQUIRED TO OPERATE AND COOL THE DC VS. THE POWER DRAWN BY THE IT EQUIPMENT. HOWEVER, IN MODERN DCS EQUIPPED WITH FREE COOLING AND RENEWABLE ENERGY (RE), THE COOLING POWER (AS A BIG PORTION OF TOTAL POWER) VARIES WITH THE CHANGES IN ENVIRONMENTAL CONDITIONS AS WELL AS WITH THE DYNAMICALLY CHANGES IN IT POWER. THEREBY, PUE IS NOT ONLY NOT FIXED BUT ALSO VARIES OVER TIME AS WELL AS IT LOAD. IN ADDITION, WHILE GREEN ENERGY IS INCREASINGLY USED IN DCS, THE CONVENTIONAL PUE IS INCAPABLE OF DESCRIBING THE GREEN POWER EFFICIENCY. THIS PAPER CONSIDERS THE GREEN PUE AS A POWER EFFICIENCY MEASUREMENT IN DCS, WHICH IS A FUNCTION OF TIME AS WELL AS IT LOAD. WE SHOW THAT GREEN PUE CAN EFFECTIVELY REFLECT THE CHANGES IN POWER EFFICIENCY (INCLUDING THE GREEN POWER EFFICIENCY) CAUSED BY CHANGES IN DC'S CONDITIONS. USING GREEN PUE AS AN ASSESSMENT CRITERION, WE PROPOSE A COST-EFFECTIVE GLB APPROACH. RESULTS SHOW THAT THE PROPOSED GLB REACHES %22-%26 COST SAVING, COMPARED TO PRIOR WORKS.

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APA: Copy

TAHERI, SOMAYYEH, & GOUDARZI, MAZIAR. (2019). GREEN GEOGRAPHICALLY LOAD BALANCING USING VIABILITY OF DISTRIBUTED DATA CENTERS’ LOCAL CONDITION FOR ENERGY EFFICIENCY. INTERNATIONAL CONFERENCE ON WEB RESEARCH. SID. https://sid.ir/paper/949061/en

Vancouver: Copy

TAHERI SOMAYYEH, GOUDARZI MAZIAR. GREEN GEOGRAPHICALLY LOAD BALANCING USING VIABILITY OF DISTRIBUTED DATA CENTERS’ LOCAL CONDITION FOR ENERGY EFFICIENCY. 2019. Available from: https://sid.ir/paper/949061/en

IEEE: Copy

SOMAYYEH TAHERI, and MAZIAR GOUDARZI, “GREEN GEOGRAPHICALLY LOAD BALANCING USING VIABILITY OF DISTRIBUTED DATA CENTERS’ LOCAL CONDITION FOR ENERGY EFFICIENCY,” presented at the INTERNATIONAL CONFERENCE ON WEB RESEARCH. 2019, [Online]. Available: https://sid.ir/paper/949061/en

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