Please use this identifier to cite or link to this item: https://idr.nitk.ac.in/jspui/handle/123456789/6970
Full metadata record
DC FieldValueLanguage
dc.contributor.authorAnanth, A.
dc.contributor.authorSekaran, K.C.
dc.date.accessioned2020-03-30T09:46:31Z-
dc.date.available2020-03-30T09:46:31Z-
dc.date.issued2014
dc.identifier.citationProceedings of the 2014 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2014, 2014, Vol., , pp.1152-1157en_US
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/6970-
dc.description.abstractCloud computing is the upcoming technology in current day scenario. It has emerged as a solution for providing resources to the consumers in the form of software, infrastructure or platform as a service. Cloud Service Storage enables users to synchronize their files across devices and also allows them to backup online. The main aim of this paper is to provide service optimization. Scheduling of services is a NP hard problem. Thus exhaustive approaches are not suitable for these kinds of algorithms. This paper presents a genetic algorithm based approach for optimization of services by using family gene technology. Family gene technology is used to classify individuals to different families based on gene parameters and evaluate the fitness function for each individual in that family. Optimization is achieved by mapping the service requests to appropriate service instances which satisfy the request and then by applying family gene based genetic algorithm to those mapped service requests. � 2014 IEEE.en_US
dc.titleService optimization in cloud using family gene technologyen_US
dc.typeBook chapteren_US
Appears in Collections:2. Conference Papers

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.