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Paper Details
Paper Title
IDS using Profit Based Scheduling in Cloud Computing
Authors
Netrika, Sheo Kumar
Abstract
Cloud computing enables a large range of users to access scattered, scalable, virtualized hardware and/or software infrastructure over the Internet. This paper discusses Task scheduling in cloud computing environment. By doing research and analysis of this problem, that aims at task scheduling with minimum total tasks completion time and minimum cost. CloudSim3.0.3 is employed to carry out and simulate the tasks assignment algorithm, and distributed task scheduling. A new clustering algorithm is proposed which is based on K-means. The efficiency of the algorithm with which intrusions are detected is around 90%-95%
Keywords- CLOUD Computing ,Cloud SIM ,DARPA
Publication Details
Unique Identification Number - IJEDR1502212Page Number(s) - 1299-1305Pubished in - Volume 3 | Issue 2 | May 2015DOI (Digital Object Identifier) - Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Netrika, Sheo Kumar , "IDS using Profit Based Scheduling in Cloud Computing", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.3, Issue 2, pp.1299-1305, May 2015, Available at :http://www.ijedr.org/papers/IJEDR1502212.pdf
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