Abstract
<p class="0abstract">Cloud Computing conducts application, infrastructure services or platform to a very large amount of users with more choices and continuous changing requirements. Cloud providers are occupied in organizing data warehouses to arrange the continuous growth in cloud user’s acceptance. Features of cloud computing services have afforded an important tendency of companies choosing these services. In this case, many cloud users, who intend a certain service, and many cloud providers, who provision those services, create a competitive market. When constructing a Cloud scheduling scheme, the project trade-offs of the Cloud architecture should be rated. The simplest manner to rate this infrastructure is to use a simulation tool called CloudSim simulation toolkit. To reduce/avoid SLA violations in the cloud computing system, in our work we propose a SLA reduction framework in which we have considered three steps: Migration control of VMs, Energy efficiency and VmScheduling. It is also implemented in Cloudsimulator.</p>
Highlights
In Cloud Computing, Service Level Agreement (SLA) represents a contract that points out synthesis of QoS (Quality of Services) in level and type in connection of cloud provider and cloud user
During the analysis and research regarding this problem we identify some mechanisms and techniques proposed by various researchers that help in the early management and detection of the SLA violation
We have described the content of the executed files, their responsibility, and the alternatives of combining VMs to deal with certain solution
Summary
In Cloud Computing, Service Level Agreement (SLA) represents a contract that points out synthesis of QoS (Quality of Services) in level and type in connection of cloud provider and cloud user. The cloud computing services are as well proposed as Infrastructure as a Service (IaaS) where the cloud provider delivers a virtualized computing infrastructure, as a service. There are a lot of issues and unsolved problems regarding the specification and the quantification of SLAs. Problem statement: yet there is a gap in formalizing Service Level Agreements (SLAs) between the cloud provider and user. The industry and academia communities have not placed a boundary through a formal model or formula which advices a certain business whether to opt for a cloud IaaS facility or not. Another subject that has to deal with SLA is the SLA violation. During the analysis and research regarding this problem we identify some mechanisms and techniques proposed by various researchers that help in the early management and detection of the SLA violation
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