NDLI: Survey on fault tolerant — Load balancing algorithmsin cloud computing

Content Provider	IEEE Xplore Digital Library
Author	Sarmila, G.P. Gnanambigai, N. Dinadayalan, P.
Copyright Year	2015
Description	Author affiliation: Dept. of Comput. Applic., Indra Gandhi Arts & Sci. Coll., Puducherry, India (Gnanambigai, N.) \|\| Dept. of Comput. Sci., Rajiv Gandhi Arts & Sci. Coll., Puducherry, India (Sarmila, G.P.) \|\| Dept. of Comput. Sci., Mahatma Gandhi Arts & Sci. Coll., Mahe, India (Dinadayalan, P.)
Abstract	The cloud computing is an emerging paradigm over the internet which provides applications and services based on the concept of abstraction and virtualization for a fraction of the cost. The number of cloud user increases day by day to utilize the available resources. Most of the cloud applications are run at remote nodes where many clients may request for the server at a time. This causes overloading in server which results in fault. Load balancing is the networking technique that distributes load to the nodes to optimize resource utilization, throughput, response time and overload. The need of load balancing increases with increase in the demand for computing resources. Fault-tolerance is the ability of system to continue to work even in the presence of fault. This is a critical issue to be addressed to ensure reliability and availability in cloud computing. By effectively balancing the incoming load, fault tolerance can be achieved in cloud. This paper aims to compare the efficient load balancing algorithms that are fault tolerant.
Starting Page	1715
Ending Page	1720
File Size	276043
Page Count	6
File Format	PDF
e-ISBN	9781479972258
DOI	10.1109/ECS.2015.7124879
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-02-26
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Efficient fault tolerant algorithms Cloud computing Fault tolerance Heuristic algorithms Fault tolerant systems Load management Servers Load balancing
Content Type	Text
Resource Type	Article

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