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Automated Service Level Agreements (SLAs) have been proposed for cloud services as contracts used to record the rights and obligations of service providers and their customers. Automation refers to the formalized electronic presentation of ALS and the management of their life cycle by autonomous agents. Recently, automated management of ALS has become increasingly important. In previous work, we have developed a utility architecture that optimizes the provision of resources in accordance with trade guidelines, as well as an optimization mechanism in the negotiation of the ALA. We are going a step further with the application of player systems as an appropriate theoretical model for monitoring the rates of massive fine-grained but simplified and practical SLAs. We show that this is a realistic approach to automated management of the entire alS lifecycle, including negotiation and provision, but we focus on monitoring as a driver of current scalability requirements. Our proposed work separates the concerns and error tolerance strategies of the agreement into several autonomous levels, which can be combined hierarchically into an intuitive, parallel, effective and effective management structure. This phase includes the start of the implementation of cloud services, the filling of the cloud service with relevant data, the users of boarding and training, the implementation of communication channels and other operational activities in the use of the respective cloud services… This second phase of the SLA cloud lifecycle includes, for example, first contact and conversation with possible CSPs, other evaluations, screening assessments and focus objectives and assumptions… The lifecycle of the SLA cloud is an important part of providing cloud services. There is a strong correlation between the phases of the cloud service lifecycle (acquisition, operation, cessation) and the 7 phases of the cloud ALS. Kuan Lu received his master`s degree in computer science from the University of Duisburg-Essen and his doctorate in computer science from the University of Gottingen, Germany.

He has published articles in several international conferences and journals specializing in planning and optimization for cloud computing, resource planning and allocation management service level agreements. He has also been actively involved in PaaSage`s EU-7 and [email protected] projects, Lotus Mashup and MILA`s projects at IBM Research and Development GmbH in Germany. Today, Mr. Lu works as a software engineer for cloud lifecycle management at SAP SE in Germany. Ramin Yahyapour is a full professor at Georg August University in Gottingen. He is also the Executive Director of GWDG, a joint computational and computer skills centre of the university and May-Planck.