Power Aware Scheduling of Bag-of-Tasks Applications with Deadline Constraints on DVS-enabled Clusters

By Kyong Hoon Kim, Rajkumar Buyya, Jong Kim. IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, 2007

334 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Hardware and Architecture, Information Systems

View Paper: https://www.semanticscholar.org/paper/ebfd70438baab952f748a5f2d746eb5a9dc44081

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Citations in the corpus

Energy-Efficient Management of Data Center Resources for Cloud Computing: A Vision, Architectural Elements, and Open Challenges (2010, background): “As noted in our recent work these mechanisms can be effectively used whenever the QoS of hosted applications does not require processors to operate in full capacity [9].”
Energy Conscious Scheduling for Distributed Computing Systems under Different Operating Conditions (2011, background): “However, the majority of previous studies on scheduling that take into consideration energy consumption are conducted on homogeneous computing systems [4], [6], [7], [21].”
Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility (2009, background): “To achieve this at software systems level, we need to investigate new techniques for allocation of resources to applications depending on quality of service expectations of users and service contracts established between consumers and providers [69].”
Environment-conscious scheduling of HPC applications on distributed Cloud-oriented data centers (2011, background): “Third, previous work has mainly proposed energy saving policies that are application-specific [26] [28], processor-specific [52] [17], and/or server-specific [60] [38].”
Power-aware scheduling of virtual machines in DVFS-enabled clusters (2009, background): “Therefore a set of operating points for a DVFS-enabled processor, OP , is defined as: OP = ⋃ 1≤j≤J {opj} (2) The energy consumption of modern processor, E, can be divided into two parts, dynamic energy consumption Edynamic, and static energy consumption Estatic [28]: E = Edynamic + Estatic (3) Accor”