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Cloud providing on demand storage services enforcing techno commercial service level agreement for an improved QoS

机译:云提供按需存储服务,强制执行技术商业服务级别协议,以提高QoS

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Advancements in the application service provisioning have created stringent scenarios in the world of cloud. The framework now needs to comply with specific requirements of consumers with specific demands. The diversified needs of storage and other related services in the dynamically changing needs of consumers. Such application requirements are becoming frequent as a consequence to high performance computing and large data/information retrievals. At the same time, understandings between the Cloud and its consumers have to be more transparent and should work under pre-defined terms. This leads to a committed Quality of Service delivered which directly effects revenues. To bring in transparency and durability between the service providers and service seekers, there is a need of a Techno Commercial Service Level Agreement that fixes responsibility of both parties. In this work, authors propose and implement an algorithm for meta scheduling that envisages enforcement of SLA apart from managing the distinct cloud applications such as storage. The work assesses the changes brought in terms of revenues, QoS enhancement, recoveries, building long term ties etc. The results have been found to be encouraging while testing the scheduler proposed with stringent service level conditions well. The agreement imposes clear by laws and penalties to the bi-part irate redressed on service provider cloud & the consumers. The frame work is tested and achieves objectives & goals with specific features suitable for storage cloud.
机译:应用程序服务供应的进步在云世界中创建了严格的方案。该框架现在需要符合具有特定需求的消费者的特定要求。随着消费者需求的不断变化,存储和其他相关服务的多样化需求。由于高性能计算和大数据/信息检索,此类应用程序需求变得越来越频繁。同时,云与其消费者之间的理解必须更加透明,并应在预定义的条件下进行。这导致承诺的服务质量直接影响收入。为了使服务提供商和服务寻求者之间保持透明和持久性,需要制定一项Techno商业服务水平协议,该协议确定双方的责任。在这项工作中,作者提出并实现了一种用于元调度的算法,该算法除了管理诸如存储之类的独特云应用程序之外,还设想了SLA的实施。这项工作评估了收入,QoS增强,可恢复性,建立长期联系等方面带来的变化。在严格的服务水平条件下测试建议的调度程序时,结果令人鼓舞。该协议根据法律和处罚规定,对在服务提供商云和消费者身上解决的两部分问题进行了明确规定。框架经过测试,并通过适用于存储云的特定功能实现了目标。

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