Energy-efficient scheduling of urgent bag-of-tasks applications in clouds through DVFS

Rodrigo N. Calheiros, Rajkumar Buyya

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

62 Citations (Scopus)

Abstract

![CDATA[The broad adoption of cloud services led to an increasing concentration of servers in a few data centers. Reports estimate the energy consumptions of these data centers to be between 1.1% and 1.5% of the worldwide electricity consumption. This extensive energy consumption precludes massive CO2 emissions, as a significant number of data centers are backed by 'brown' power plants. While most researchers have focused on reducing energy consumption of cloud data centers via server consolidation, we propose an approach for reducing the power required to execute urgent, CPU-intensive Bag-of-Tasks applications on cloud infrastructures. It exploits intelligent scheduling combined with the Dynamic Voltage and Frequency Scaling (DVFS) capability of modern CPU processors to keep the CPU operating at the minimum voltage level (and consequently minimum frequency and power consumption) that enables the application to complete before a user-defined deadline. Experiments demonstrate that our approach reduces energy consumption with the extra feature of not requiring virtual machines to have knowledge about its underlying physical infrastructure, which is an assumption of previous works.]]
Original languageEnglish
Title of host publicationProceedings: 2014 IEEE 6th International Conference on Cloud Computing Technology and Science, CloudCom 2014, Singapore, 15-18 December 2014
PublisherIEEE
Pages342-349
Number of pages8
ISBN (Print)9781479940936
DOIs
Publication statusPublished - 2014
EventIEEE International Conference on Cloud Computing Technology and Science -
Duration: 15 Dec 2014 → …

Conference

ConferenceIEEE International Conference on Cloud Computing Technology and Science
Period15/12/14 → …

Keywords

  • cloud computing
  • data processing service centers
  • energy consumption

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