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Optimization of autonomic resources for the management of service-based business processes in the Cloud

Abstract : Cloud Computing is a new paradigm that provides computing resources as a service over the internet in a pay-per-use model. It is increasingly used for hosting and executing business processes in general and service-based business processes (SBPs) in particular. Cloud environments are usually highly dynamic. Hence, executing these SBPs requires autonomic management to cope with the changes of cloud environments implies the usage of a number of controlling devices, referred to as Autonomic Managers (AMs). However, existing solutions are limited to use either a centralized AM or an AM per service for managing a whole SBP. It is obvious that the latter solution is resource consuming and may lead to conflicting management decisions, while the former one may lead to management bottlenecks. An important problem in this context, deals with finding the optimal number of AMs for the management of an SBP, minimizing costs in terms of number of AMs while at the same time avoiding management bottlenecks and ensuring good management performance. Moreover, due to the heterogeneity of cloud resources and the diversity of the required quality of service (QoS) of SBPs, the allocation of cloud resources to these AMs may result in high computing costs and an increase in the communication overheads and/or lower QoS. It is also crucial to find an optimal allocation of cloud resources to the AMs, minimizing costs while at the same time maintaining the QoS requirements. To address these challenges, in this work, we propose a deterministic optimization model for each problem. Furthermore, due to the amount of time needed to solve these problems that grows exponentially with the size of the problem, we propose near-optimal algorithms that provide good solutions in reasonable time
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Submitted on : Tuesday, October 23, 2018 - 11:22:08 AM
Last modification on : Monday, August 24, 2020 - 4:16:12 PM
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  • HAL Id : tel-01901781, version 1


Leila Hadded. Optimization of autonomic resources for the management of service-based business processes in the Cloud. Networking and Internet Architecture [cs.NI]. Université Paris-Saclay; Université de Tunis El-Manar. Faculté des Sciences de Tunis (Tunisie), 2018. English. ⟨NNT : 2018SACLL006⟩. ⟨tel-01901781⟩



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