Energy Conservation Using Dynamic Voltage Frequency Scaling for Computational Cloud
Cloud computing is a new technology which supports resource sharing on a “Pay as you go” basis around the world. It provides various services such as SaaS, IaaS, and PaaS. Computation is a part of IaaS and the entire computational requests are to be served efficiently with optimal power utilization...
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| Format: | Article |
| Language: | English |
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Wiley
2016-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2016/9328070 |
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| author | A. Paulin Florence V. Shanthi C. B. Sunil Simon |
| author_facet | A. Paulin Florence V. Shanthi C. B. Sunil Simon |
| author_sort | A. Paulin Florence |
| collection | DOAJ |
| description | Cloud computing is a new technology which supports resource sharing on a “Pay as you go” basis around the world. It provides various services such as SaaS, IaaS, and PaaS. Computation is a part of IaaS and the entire computational requests are to be served efficiently with optimal power utilization in the cloud. Recently, various algorithms are developed to reduce power consumption and even Dynamic Voltage and Frequency Scaling (DVFS) scheme is also used in this perspective. In this paper we have devised methodology which analyzes the behavior of the given cloud request and identifies the associated type of algorithm. Once the type of algorithm is identified, using their asymptotic notations, its time complexity is calculated. Using best fit strategy the appropriate host is identified and the incoming job is allocated to the victimized host. Using the measured time complexity the required clock frequency of the host is measured. According to that CPU frequency is scaled up or down using DVFS scheme, enabling energy to be saved up to 55% of total Watts consumption. |
| format | Article |
| id | doaj-art-877a73af529047aa8a573d46a87a522c |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-877a73af529047aa8a573d46a87a522c2025-02-03T01:25:51ZengWileyThe Scientific World Journal2356-61401537-744X2016-01-01201610.1155/2016/93280709328070Energy Conservation Using Dynamic Voltage Frequency Scaling for Computational CloudA. Paulin Florence0V. Shanthi1C. B. Sunil Simon2Sathyabama University, Chennai 600 119, IndiaSt. Joseph’s College of Engineering, Chennai 600 119, IndiaZoho Corporation, Chennai, IndiaCloud computing is a new technology which supports resource sharing on a “Pay as you go” basis around the world. It provides various services such as SaaS, IaaS, and PaaS. Computation is a part of IaaS and the entire computational requests are to be served efficiently with optimal power utilization in the cloud. Recently, various algorithms are developed to reduce power consumption and even Dynamic Voltage and Frequency Scaling (DVFS) scheme is also used in this perspective. In this paper we have devised methodology which analyzes the behavior of the given cloud request and identifies the associated type of algorithm. Once the type of algorithm is identified, using their asymptotic notations, its time complexity is calculated. Using best fit strategy the appropriate host is identified and the incoming job is allocated to the victimized host. Using the measured time complexity the required clock frequency of the host is measured. According to that CPU frequency is scaled up or down using DVFS scheme, enabling energy to be saved up to 55% of total Watts consumption.http://dx.doi.org/10.1155/2016/9328070 |
| spellingShingle | A. Paulin Florence V. Shanthi C. B. Sunil Simon Energy Conservation Using Dynamic Voltage Frequency Scaling for Computational Cloud The Scientific World Journal |
| title | Energy Conservation Using Dynamic Voltage Frequency Scaling for Computational Cloud |
| title_full | Energy Conservation Using Dynamic Voltage Frequency Scaling for Computational Cloud |
| title_fullStr | Energy Conservation Using Dynamic Voltage Frequency Scaling for Computational Cloud |
| title_full_unstemmed | Energy Conservation Using Dynamic Voltage Frequency Scaling for Computational Cloud |
| title_short | Energy Conservation Using Dynamic Voltage Frequency Scaling for Computational Cloud |
| title_sort | energy conservation using dynamic voltage frequency scaling for computational cloud |
| url | http://dx.doi.org/10.1155/2016/9328070 |
| work_keys_str_mv | AT apaulinflorence energyconservationusingdynamicvoltagefrequencyscalingforcomputationalcloud AT vshanthi energyconservationusingdynamicvoltagefrequencyscalingforcomputationalcloud AT cbsunilsimon energyconservationusingdynamicvoltagefrequencyscalingforcomputationalcloud |