Scheduling time-sensitive multi-tier services with probabilistic performance guarantee

Liu, Shuo; Homsi, Soamar; Fan, Ming; Ren, Shaolei; Quan, Gang; Ren, Shangping

doi:10.1109/padsw.2014.7097876

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Power-aware Cloud Resource Management1

Introduction To the Research Problem1

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2017

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Cited by 3 publications

(2 citation statements)

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“…Power/energy aware approaches can also be classified according to the different resource types, such as CPUs [45,117], memory [84], storage devices [118], and/or network [30]. Since CPUs usually acquire the highest power consumption among all resource types [115], we focus on reviewing the works that focus on improving power consumption and energy cost of CPUs in cloud data centers using techniques including Dynamic Voltage Scaling and Dynamic Frequency Scaling (DV S/DFS), virtualization, and server consolidation [119].…”

Section: Power-aware Cloud Resource Managementmentioning

confidence: 99%

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Cloud Workload Allocation Approaches for Quality of Service Guarantee and Cybersecurity Risk Management

Homsi¹

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Section: Power-aware Cloud Resource Managementmentioning

confidence: 99%

“…Power/energy aware approaches can also be classified according to the different resource types, such as CPUs [45,117], memory [84], storage devices [118], and/or network [30].…”

Section: Introduction To the Research Problemmentioning

confidence: 99%