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Resources Management and Scheduling in Cloud Computing

Cloud computing provides a facility to access an unlimited pool of resources based on pay-per-use. This work addresses the problems of "job scheduling and resource allocation", which is to schedule and allocate virtual resources to achieve high resource utilization to meet user’s needs with Quality of Service (QoS) parameter. The scheduling is a Non-deterministic Polynomial time (NP) - complete problem. This scheduling and resource allocation concepts are executed under the service of Infrastructure as a Service (IaaS) and the hybrid cloud will use for the deployment model. The scheduling process is concentrated on the objective of minimized time and cost. To perform an optimum schedule the genetic algorithm and bacterial foraging optimization algorithm were hybridized. The fitness function of the genetic algorithm is hybridized with Bacterial Foraging Optimization (BFO) algorithm. The simulation of the environment is using CloudSim tool. Tasks will be represented as instances in [login to view URL] proposed hybrid algorithm efficiently divides the job into tasks with less execution time and minimum delay. Resource allocation is the process of allocating jobs to resources (CPU speed, RAM size, and bandwidth) in the virtual machines. Optimum allocation of a task to VM is an important process. The mutation and crossover operation of the genetic algorithm is combined with the BFO algorithm. Resource allocation parameters are execution time, makespan and throughput. Reliability is one of the important parameter, which is not yet concentrated in previous works. So, the final phase of the research proposal will be to address the reliability measure of resource utilization. The reliability of the proposed model will be analyzed using Design of Experiments (DoE) tool.

Evner: Cloud, Cloud Computing, Cloud Data, Research Writing, Software Arkitektur

Se mere: various policies of cloud resource management, two level resource allocation architecture, policies and mechanisms for resource management in cloud computing, inter cloud resource management in cloud computing, resource scheduling in cloud computing, stability of a two level resource allocation architecture, resource management techniques in cloud computing, two level resource allocation architecture in cloud computing, steve manard human resources management, human resources management system visual basic, human resources management system using vbnet, human resources management system vbnet, design coding human resources management system aspnet, free aspnet web based human resources management application, human resources management recruitment selection, human resources management system, human resources management system criteria operations worksheet, human resources management project front end sql 2000, framework creating asp net human resources management website, human resources management applications net free source code

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Projekt ID: #19766706

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ZhangHuaQiang

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TakaAlex

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ionservices

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