Adaptive scheduling for multimedia based workflow applications using improved fuzzy with hybrid lyapunov based algorithm in hybrid cloud

Abstract

Cloud computing technology gives way to various advancements in newlinemodern day applications and services, thus shifting the face of computing newlinearound the globe and made a major breakthrough in providing services to newlinecustomers. Cloud computing works both by the centralized approach and the newlinedecentralized approach, thus processing and computation of jobs are carried newlinein a decentralized method in the cloud environment and resource management newlinesuch as updates and installation of new software or infrastructure resources newlineare done in the centralized manner. Any request from the hybrid cloud user newlinethat has e-commerce service request, eventually needs to access the newlinemultimedia data and related information on the e-commerce service. Most of newlinethe modern day applications are workflow applications, which have newlineinterconnected sub application such as online shopping, which have banker newlineapplication, logistics application and vendor services with is various products newlineand end user. The hybrid cloud environment with users incoming requests newlinefor workflow application should have better scheduling scheme. The job newlinescheduling is based on resource utilization. The issue of scheduling workflow newlineapplication request with resource utilization is taken for consideration. The newlineresource utilization is successfully managed by virtualization technology, one newlineof the major sources for elevated success of cloud computing. Hence the newlineidentified research work are to propose novel scheduling algorithms with newlineeffective scheduling strategy, which includes better resource provision and newlineutilization. It eventually increases the execution of the submitted jobs and newlineimproves the efficiency of scheduling by balancing the available resource of newlinethe hybrid cloud. newline newline