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    Exploiting Task Elasticity and Price Heterogeneity for Maximizing Cloud Computing Profits 

    Dabbagh, Mehiar; Hamdaoui, Bechir; Guizani, Mohsen; Rayes, Ammar ( IEEE Computer Society , 2018 , Article)
    This paper exploits cloud task elasticity and price heterogeneity to propose an online resource management framework that maximizes cloud profits while minimizing energy expenses. This is done by reducing the duration ...
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    Toward SLAs Guaranteed Scalable VDC Provisioning in Cloud Data Centers 

    Sun, Gang; Xu, Zhu; Yu, Hongfang; Chang, Victor; Du, Xiaojiang; Guizani, Mohsen... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)
    Cloud computing has been a cost-efficient paradigm for deploying various applications in datacenters in recent years. Therefore, efficient provisioning for virtual data center (VDC) requests from different service providers ...
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    Verifying cloud service-level agreement by a third-party auditor 

    Zhang, H.; Ye, L.; Shi, J.; Du, X.; Guizani, Mohsen ( John Wiley & Sons, Ltd. , 2014 , Article)
    In this paper, we study the important issue of verifying service-level agreement (SLA) with an untrusted cloud and present an SLA verification framework that utilizes a third-party auditor (TPA). A cloud provides users ...
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    Reducing data center energy consumption through peak shaving and locked-in energy avoidance 

    Alanazi, Sultan; Dabbagh, Mehiar; Hamdaoui, Bechir; Guizani, Mohsen; Zorba, Nizar ( Institute of Electrical and Electronics Engineers Inc. , 2017 , Article)
    The grid company enforces high penalties for the peak power demands of cloud data centers. These penalties result in high electricity bills that can be avoided by relying on the servers' uninterruptible power supply (UPS) ...

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    Author
    • Guizani, Mohsen (4)
    • Dabbagh, Mehiar (2) Hamdaoui, Bechir (2) Alanazi, Sultan (1) ... View More
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    • cloud computing (4)
    • cloud pricing (1) Energy efficiency (1) energy efficiency (1) ... View More
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      2014 (1) 2017 (1) 2018 (1) 2019 (1)
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