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2018 | OriginalPaper | Buchkapitel

Fault Tolerant VM Consolidation for Energy-Efficient Cloud Environments

verfasst von : Cihan Secinti, Tolga Ovatman

Erschienen in: Cloud Computing – CLOUD 2018

Verlag: Springer International Publishing

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Abstract

Cloud computing applications are expected to guarantee the service performance which is determined by the Service Level Agreement (SLA) between cloud owner and client. While satisfying SLA, Virtual Machines (VMs) may be consolidated based on their utilization in order to balance the load or optimize energy efficiency of physical resources. Since, these physical resources are prone to system failure, any optimization approach should consider the probability of a failure on a physical resource and orchestrate the VMs over the physical plane accordingly. Otherwise, it is possible to experience unfavorable results such as numerous redundant application migrations and consolidations of VMs that may easily cause in SLA violations. In this paper, a novel approach is proposed to reduce energy consumption and number of application migration without violating SLA while considering the fault tolerance of the cloud system in the face of physical resource failures. Simulation results show that proposed model reduce energy consumption by approximately 37% and number of application migration by approximately 9%. Besides, in case of faults the increase of energy consumption is less than 11% when the proposed approach is used.

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Literatur
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Zurück zum Zitat Bala, A., Chana, I.: Fault tolerance-challenges, techniques and implementation in cloud computing. 9, January 2012 Bala, A., Chana, I.: Fault tolerance-challenges, techniques and implementation in cloud computing. 9, January 2012
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Zurück zum Zitat Ferdaus, M.H., et al.: Multi-objective, Decentralized Dynamic Virtual Machine Consolidation using ACO Metaheuristic in Computing Clouds. In: CoRR abs/1706.06646 (2017). arXiv: 1706.06646 Ferdaus, M.H., et al.: Multi-objective, Decentralized Dynamic Virtual Machine Consolidation using ACO Metaheuristic in Computing Clouds. In: CoRR abs/1706.06646 (2017). arXiv:​ 1706.​06646
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Zurück zum Zitat Amin, Z., Singh, H., Sethi, N.: Review on Fault tolerance techniques in cloud computing. Int. J. Comput. Appl. 116(18), 11–17 (2015) Amin, Z., Singh, H., Sethi, N.: Review on Fault tolerance techniques in cloud computing. Int. J. Comput. Appl. 116(18), 11–17 (2015)
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Zurück zum Zitat Seçinti, C., Ovatman, T.: On optimizing resource allocation and application placement costs in cloud systems. In: Proceedings of the 4th International Conference on Cloud Computing and Services Science, CLOSER 2014, pp. 535–542. SCITEPRESS - Science and Technology Publications, LDA, Barcelona, (2014). https://doi.org/10.5220/0004849605350542. ISBN: 978-989-758-019-2 Seçinti, C., Ovatman, T.: On optimizing resource allocation and application placement costs in cloud systems. In: Proceedings of the 4th International Conference on Cloud Computing and Services Science, CLOSER 2014, pp. 535–542. SCITEPRESS - Science and Technology Publications, LDA, Barcelona, (2014). https://​doi.​org/​10.​5220/​0004849605350542​. ISBN: 978-989-758-019-2
Metadaten
Titel
Fault Tolerant VM Consolidation for Energy-Efficient Cloud Environments
verfasst von
Cihan Secinti
Tolga Ovatman
Copyright-Jahr
2018
DOI
https://doi.org/10.1007/978-3-319-94295-7_22

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