Energy-Efficient Management of Data Center Resources for Cloud Computing: A Vision, Architectural Elements, and Open Challenges

By Rajkumar Buyya, Anton Beloglazov, Jemal H. Abawajy. International Conference on Parallel and Distributed Processing Techniques and Applications, 2010

733 citations recorded by the source corpus.

Cloud computing is offering utility-oriented IT services to users worldwide. Based on a pay-as-you-go model, it enables hosting of pervasive applications from consumer, scientific, and business domains. However, data centers hosting Cloud applications consume huge amounts of energy, contributing to high operational costs and carbon footprints to the environment. Therefore, we need Green Cloud computing solutions that can not only save energy for the environment but also reduce operational costs. This paper presents vision, challenges, and architectural elements for energy-efficient management of Cloud computing environments. We focus on the development of dynamic resource provisioning and allocation algorithms that consider the synergy between various data center infrastructures (i.e., the hardware, power units, cooling and software), and holistically work to boost data center energy efficiency and performance. In particular, this paper proposes (a) architectural principles for energy-efficient management of Clouds; (b) energy-efficient resource allocation policies and scheduling algorithms considering quality-of-service expectations, and devices power usage characteristics; and (c) a novel software technology for energy-efficient management of Clouds. We have validated our approach by conducting a set of rigorous performance evaluation study using the CloudSim toolkit. The results demonstrate that Cloud computing model has immense potential as it offers significant performance gains as regards to response time and cost saving under dynamic workload scenarios.

Subfields: Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/65f392ea232878e416b077605427ff62d7fe0677

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Citations in the corpus

Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing (2012, background): “This is a substantially extended version of the keynote paper presented at PDPTA 2010 [6].”
Data Center Energy Consumption Modeling: A Survey (2016, background): “D centers are large scale, mission-critical computing infrastructures that are operating around the clock [1][2] to propel the fast growth of IT industry and transform the economy at large.”
A Taxonomy and Survey of Energy-Efficient Data Centers and Cloud Computing Systems (2010, background): “[64] have proposed the GreenCloud project aimed at the development of energy-efficient provisioning of Cloud resources, while meeting QoS requirements defined by the SLA established through a negotiation between providers and consumers.”
Software Defined Networking Architecture, Security and Energy Efficiency: A Survey (2017, background): “percentage of their revenue to power their network infrastructures [136].”
Energy-Aware Ant Colony Based Workload Placement in Clouds (2011, background): “, [5], [19]), (2) adapt simple greedy algorithms (e.”
Enabling Technologies for Green Internet of Things (2017, background): “The data centers hosting cloud applications consume huge amounts of energy resulting in high operational costs and large CO2 footprints [39].”
A survey on virtual machine migration and server consolidation frameworks for cloud data centers (2015, background): “) to profoundly exploit cloud services (Buyya et al., 2010).”