Journal article
Optimal Fitness Aware Cloud Service Composition using an Adaptive Genotypes Evolution based Genetic Algorithm
C Jatoth, GR Gangadharan, R Buyya
Future Generation Computer Systems | ELSEVIER | Published : 2019
Abstract
With the seamless proliferation of cloud services, it becomes challenging to select and compose cloud services that satisfy the requirements of users. A service may be connected with another service(s) for satisfying a workflow/function in a service composition. Further, the service assessment based on one or two QoS parameters is not accurate enough to achieve the desired optimality in a cloud service composition. Most of the existing methods in the literature consider either a single QoS parameter or two QoS parameters for QoS-aware composition and do not consider the balancing of QoS parameters and/or the connectivity constraints between two compositions. In this paper, we present an Opti..
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Funding Acknowledgements
Prof. Alba C.M.A. Melo thanks the support received from the Brazilian National Council for Scientific and Technological Development (CNPq) for the research productivity grant in Computer Science area (PQ-1D) and Prof. Celia Ghedini Ralha for research grant number 303863/2015-3 (PQ-2).