NDLI: An efficient energy saving task consolidation algorithm for cloud computing systems

Content Provider	IEEE Xplore Digital Library
Author	Panda, Sanjaya K. Jana, Prasanta K.
Copyright Year	2014
Description	Author affiliation: Department of Computer Science and Engineering, Indian School of Mines, Dhanbad, India (Panda, Sanjaya K.; Jana, Prasanta K.)
Abstract	Task consolidation is a process of maximizing resource utilization in a cloud system. However, maximum usage of resources does not necessarily imply that there will be proper use of energy as some resources which are sitting idle, also consume considerable amount of energy. Recent studies show that energy consumption due to idle resources is approximately 1 to 20%. So, the idle resources are assigned with some tasks to utilize the idle period, which in turn reduces the overall energy consumption of the resources. Note that higher resource utilization merely leads to high energy consumption. So, the tasks are likely to be assigned to all the resources for the proper use of energy. In this paper, we propose an energy saving task consolidation (ESTC) which minimizes the energy consumption by utilizing the idle period of the resources in a cloud environment. ESTC achieves it by assigning few tasks to all available resources to overcome the idleness of the resources. In addition to this, it calculates the energy consumption on arrival of a task to make the scheduling assessment. We perform extensive experiments to measure the performance of ESTC and we compare it with the recent energy-aware task consolidation (ETC) algorithm. The results show that the proposed algorithm outperforms ETC in terms of energy consumption and the total number of task completion.
Starting Page	262
Ending Page	267
File Size	271646
Page Count	6
File Format	PDF
ISBN	9781479976829
e-ISBN	9781479976836
DOI	10.1109/PDGC.2014.7030753
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-12-11
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Energy consumption Cloud computing Clouds Energy Consumption Grid computing Virtual machining Resource Utilization Resource management Data Center Task Consolidation Virtual Machine
Content Type	Text
Resource Type	Article

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