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Energy Efficient Allocation of Virtual Machines in Cloud Data Centers

Energy Efficient Allocation of Virtual Machines in Cloud Data Centers,10.1109/CCGRID.2010.45,Anton Beloglazov,Rajkumar Buyya

Energy Efficient Allocation of Virtual Machines in Cloud Data Centers   (Citations: 5)
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Rapid growth of the demand for computational power has led to the creation of large-scale data centers. They consume enormous amounts of electrical power resulting in high operational costs and carbon dioxide emissions. Moreover, modern Cloud computing environments have to provide high Quality of Service (QoS) for their customers resulting in the necessity to deal with power-performance trade-off. We propose an efficient resource management policy for virtualized Cloud data centers. The objective is to continuously consolidate VMs leveraging live migration and switch off idle nodes to minimize power consumption, while providing required Quality of Service. We present evaluation results showing that dynamic reallocation of VMs brings substantial energy savings, thus justifying further development of the proposed policy.
Conference: Cluster Computing and the Grid - CCGRID , pp. 577-578, 2010
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    • ...Buyya, et al. [12] proposed an idea of dynamic migration of virtual machines in order to attain minimal set of active physical nodes...

    Avinash Mehtaet al. Energy conservation in cloud infrastructures

    • ...Recent studies have found that the virtualization technology can increases energy efficiency [25], [26], [27]...

    Jun Wanget al. A review of energy efficiency technology in computer servers and clust...

    • ...[6], [8], [3], [7], [21], [22], etc.) have been proposed...
    • ...The most related work in terms of architecture can be found in [21] and [22]...
    • ...In [21], the authors introduce several heuristics for workload consolidation and validate them within a simulator...

    Eugen Felleret al. Snooze: A Scalable, Fault-Tolerant and Distributed Consolidation Manag...

    • ...The proposed approach is in line with our preliminary work [2]...
    • ...In our previous work we have proposed four heuristics for choosing VMs to migrate [2]...
    • ...In our previous work [2] we have found the value Ul = 30% to be effective for the lower threshold...
    • ...1. For the DT algorithm we apply the MM policy for VM selection, as in our previous work it has shown the superiority over the alternatives [2]...

    Anton Beloglazovet al. Adaptive threshold-based approach for energy-efficient consolidation o...

    • ...It has been estimated that in 2006 the energy consumed by IT infrastructures in USA was about 61 billion kWh, corresponding to 1.5% of all the produced electricity, and these figures are expected to double by 2011 [2]...
    • ...Conversely, several approaches proposed in the literature (e.g., [12] and [2]) often require the simultaneous migration of many VMs...
    • ...To analyze the amount of consumed power, the model described by some recent studies (e.g., [8] and [2]) is adopted...
    • ...This index, in accordance with recent studies [2], is used to measure the QoS level offered to users...
    • ...As mentioned in Section 3, the problem of dynamically mapping VMs to servers is in some way similar to the bin packing problem, and the analogy is indeed exploited in recent research, for example in [12] and in [2]...
    • ...Live migration of VMs between servers is adopted in [2] and by the VMWare Distributed Power Management system, using lower and upper utilization thresholds to enact migration procedures...

    Carlo Mastroianniet al. Self-economy in Cloud Data Centers: Statistical Assignment and Migrati...

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