Life Cycle Of Service Level Agreement

Kuan Lu received his Master`s degree in Engineering Informatics from the University of Duisburg-Essen, Germany, and his PhD in Computer Science from the University of Göttingen, Germany. He has published articles in several international conferences and journals in the areas of cloud computing service level agreement planning and optimization, resource planning, and allocation management. He has also been actively involved in PaaSage`s EU-FP7 and [email protected] projects, Lotus Mashup and MILA projects at IBM Research and Development GmbH in Germany. Mr. Lu now works as a software engineer for cloud Lifecycle Management at SAP SE in Germany. This phase includes updated or otherwise modified needs, objectives and assumptions of the cloud service customer during the term of the current cloud service agreements, as well as cloud services enhanced or added by the CSP. This includes optimizing the respective cloud services by CSP in compliance with non-compliance (contractual or otherwise), breaches and other incidents that occurred during this lifetime. This second phase of the SLA cloud lifecycle includes, for example, first contact and interview with potential CSPS, further assessment, pre-evaluation, and development of objectives and assumptions. It is at this stage that it is determined whether a cloud service meets the defined service objective (SLO) during the provision of the cloud service. This could mean that cloud service providers are taking corrective action to avoid SLA violations. Why is this important? SLAs can be used to monitor the cloud service provider, assess the proper execution of the cloud service, or detect potential breaches, in which case a correction can take place. Constantinos (Costas) Kotsokalis received his engineering degree in electrical and computer engineering from the National University of Technology in Athens, Greece, and his PhD in computer science from the Technical University of Dortmund, Germany.

His expertise lies in the field of distributed computing as a whole, with a primary focus on service level agreements. Other scientific topics of interest are distributed algorithms, employment/resource planning, and data management. Costas has worked in several international projects and different fields such as wide area networking, cloud computing, SLA management, remote instrumentation and online health. The cloud SLA lifecycle is an important part of delivering cloud services. There is a strong correlation between the phases of the cloud service lifecycle (acquisition, operation, shutdown) and the 7 phases of the cloud SLA. Automated Service Level Agreements (SLAs) have been proposed for cloud services as contracts used to collect the rights and obligations of service providers and their customers. Automation refers to the electronic presentation of SLAs and the management of their lifecycle by autonomous agents. Recently, automated SLA management has become increasingly important.

In previous work, we have developed a utility architecture that optimizes the provision of resources in accordance with trade policies, as well as an optimization mechanism when negotiating alS. We go even further with the use of actor systems as an appropriate theoretical model for fine-grained but simplified and practical monitoring of massive sets of SLAs. We show that this is a realistic approach for automated management of the entire ALS lifecycle, including negotiation and delivery, but we focus on monitoring as a pilot of current scalability requirements. . . .