Title: Improving performance an artificial bee colony optimisation on CloudSim

Authors: S. Saravanan; P. Gokulraj

Addresses: Department of Computer Science and Engineering, M. Kumarasamy College of Engineering, Karur Tamil Nadu, India ' Department of Computer Science and Engineering, M. Kumarasamy College of Engineering, Karur Tamil Nadu, India

Abstract: The major aspiration of this proposed improvement is to identify an accurate data search and to generate data that comes from anywhere. Furthermore, the data itself may be very large to store on a single machine such that the computers are interconnected with each other by the massive internet storage technologies. This approach focuses on design of search engines and its infrastructure grave. Improved micro partitioning is a modularised approach of cloud computing framed to overcome the pitfalls in the traditional search engine and also the manipulation of large information stored. Artificial bee colony (ABC) count is an improvement figuring the watchful scavenging behaviour of honey bees. ABC computation is associated with enhancing the arranging of virtual machine (VM) on Cloud. The essential duty of this work is to analyse VM stack conforming count to reduce the make span of data planning time and that an arranging framework was replicated using CloudSim.

Keywords: artificial bee colony; ABC; virtual machine; heterogeneous; cloud computing; framework.

DOI: 10.1504/IJITST.2018.095935

International Journal of Internet Technology and Secured Transactions, 2018 Vol.8 No.4, pp.573 - 582

Received: 27 Apr 2017
Accepted: 29 Jul 2017
Published online: 05 Nov 2018 *

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