Towards high-available and energy-efficient virtual computing environments in the cloud

• Type: Article in International Scientific Journal
• Date: 2014

Authors

Altino M. Sampaio (Author) Other; Jorge G. Barbosa (Author) FEUP

Journal

Title: Future Generation Computer Systems

Vol. 40 No. 11

Pages: 30-43

ISSN: 0167-739X

Publisher: Elsevier

Indexing

ISI Web of Science

Scopus

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

CORDIS: Technological sciences > Engineering > Computer engineering

Other information

DOI: 10.1016/j.future.2014.06.008

Abstract (EN): Empowered by virtualisation technology, cloud infrastructures enable the construction of flexible and elastic computing environments, providing an opportunity for energy and resource cost optimisation while enhancing system availability and achieving high performance. A crucial requirement for effective consolidation is the ability to efficiently utilise system resources for high-availability computing and energy-efficiency optimisation to reduce operational costs and carbon footprints in the environment. Additionally, failures in highly networked computing systems can negatively impact system performance substantially, prohibiting the system from achieving its initial objectives. In this paper, we propose algorithms to dynamically construct and readjust virtual clusters to enable the execution of users’ jobs. Allied with an energy optimising mechanism to detect and mitigate energy inefficiencies, our decision-making algorithms leverage virtualisation tools to provide proactive fault-tolerance and energy-efficiency to virtual clusters. We conducted simulations by injecting random synthetic jobs and jobs using the latest version of the Google cloud tracelogs. The results indicate that our strategy improves the work per Joule ratio by approximately 12.9% and the working efficiency by almost 15.9% compared with other state-of-the-art algorithms.

Language: English

Type (Professor's evaluation): Scientific