NDLI: Efficient Virtual Machine management based on dynamic workload in cloud computing environment

Content Provider	IEEE Xplore Digital Library
Author	Vahora, S. Patel, R. Patel, H. Patel, S.
Copyright Year	2015
Description	Author affiliation: Dept. of Comput. Eng., CHARUSAT, Changa, India (Vahora, S.; Patel, R.; Patel, H.; Patel, S.)
Abstract	In recent times cloud computing is transpiring as a new model for hosting and delivering user services through internet media. Cloud computing offers computing resources in the form of Virtual Machines (VMs) on demand and payment are made on the basis of the amount of resources used by user application. These unique feature attracted more number of users to host their requirements on Cloud Provider which has increased number of VM in data centers. This creates an issue of proper management of VM such that resources are efficiently utilized. Efficient utilization of resources has realized VM Consolidation which leads to efficient management of VM on as few hosts as possible, switching idle hosts (physical machines) into a power saving mode. Noteworthy research have been done in the area of efficient VM consolidation to reduce power utilization. VM migration is powerful utility to achieve VM Consolidation. But VM migration involves cost of Bandwidth and Resources between two machines. It leads to trade-off between energy utilized in migration vs energy utilized during workload. Our solution in this paper describes how to reduce trade off by efficiently migrating VM to proper Machine i.e. number of migration can be reduced.
Starting Page	603
Ending Page	608
File Size	186123
Page Count	6
File Format	PDF
e-ISBN	9781479980475
DOI	10.1109/IADCC.2015.7154778
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-06-12
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Cloud computing Energy consumption VM management Heuristic algorithms Computational modeling millions of instruction per second (MIPS) Prediction algorithms Virtual Machine (VM) Resource management Energy efficient
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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