Manuscript Number : CSEIT1835172
A Conjunctional method for Multiple Resource Acquisition in Cloud Computing
Authors(2) :-Nethaji Rao CS, Narayana K In hybrid cloud computing, cloud users have the flexibility to obtain resources from multiple cloud vendors, and moreover also the choice of choosing completely different combos of resources. The matter of procuring one resource from one among several cloud vendors is often sculptured as a customary winner determination drawback, and there are mechanisms for single item resource acquisition given completely different QoS and valuation parameters. There but isn't any compatible approach that may permit cloud users to obtain capricious bundles of resources from cloud vendors. We have a tendency to style the CA algorithmic rule to resolve the multiple resource acquisition drawbacks in hybrid clouds. Cloud users submit their needs, and successively vendors submit bids containing a value, QoS and their offered sets of resources. The approach is scalable, that is critical providing there is an outsized range of cloud vendors, with additional frequently appearing. We have a tendency to perform experiments for acquisition price and quantifiability efficaciousness on the CABOB algorithmic rule mistreatment numerous normal distribution benchmarks like random, uniform, decay, and CATS. Simulations mistreatment our approach with costs procured from many cloud vendors’ datasets show its effectiveness at multiple resource acquisition.
Nethaji Rao CS Cloud Computing, Combinatorial Auction, Cloud Broker, Dynamic Pricing, Linear Programming, Resource Allocation. Publication Details Published in : Volume 3 | Issue 5 | May-June 2018 Article Preview
Student, Department of Computer Science and Engineering, Seshachala Institute of Technology, Puttur, India
Narayana K
Assistant Professor, Department of Computer Science and Engineering, Seshachala Institute of Technology, Puttur, India
Date of Publication : 2018-06-30
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 791-796
Manuscript Number : CSEIT1835172
Publisher : Technoscience Academy