New Algorithms for Balancing Energy Consumption and Performance in Computational Clusters

Authors

  • Xuan Thi Tran Budapest University of Technology and Economics
  • Tien Van Do Ton Duc Thang University, Ho Chi Minh City, Vietnam & Budapest University of Technology and Economics
  • Binh Thai Vu Budapest University of Technology and Economics

Keywords:

Heterogeneous resources, computational cluster, common queue model, real-time load

Abstract

In this paper, we propose new real-time measurement-based scheduling algorithms to achieve a trade-off between the energy efficiency and the performance capability of computational clusters. An investigation is performed using a specific scenario of computing clusters with realistic parameters. Numerical results show that a trade-off between the performance and the energy efficiency can be controlled by the proposed algorithms.

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Author Biographies

Xuan Thi Tran, Budapest University of Technology and Economics

Xuan Thi Tran received a BSc degree on Electronics and Telecommunication Engineering from Thai Nguyen University, Vietnam in 2009 and MSc degree from Budapest University of Technology and Economics. At present she is a PhD student at Network Systems and Services Department, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, Hungary. Her interests are telecommunication networks, cloud computing, performance evaluation and planning of ICT Systems.

Tien Van Do, Ton Duc Thang University, Ho Chi Minh City, Vietnam & Budapest University of Technology and Economics

Tien Van Do received the M.Sc. and Ph.D. degrees in telecommunications engineering from the Technical University of Budapest, Hungary, in 1991 and 1996, respectively. He is a full professor in the Department of Networked Systems and Services of the Budapest University of Technology and Economics, a leader of Communications Network Technology and Internetworking Laboratory, and researcher in Division of Knowledge and System Engineering for ICT (KSE-ICT), Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City, Vietnam. He habilitated at BME, and received the DSc from the Hungarian Academy of Sciences in 2011. He has participated and lead work packages in the COPERNICUS-ATMIN 1463, the FP4 ACTS AC310 ELISA, FP5 HELINET, FP6 CAPANINA projects funded by EC (where he acted as a work package leader). He led various projects on network planning and software implementations that results are directly used for industry such ATM & IP network planning software for Hungarian Telekom, GGSN tester for Nokia, performance testing program for the performance testing of the NOKIA’s IMS product, automatic software testing framework for Nokia Siemens Networks. His research interests are queuing theory, telecommunication networks, cloud computing, performance evaluation and planning of ICT Systems.

Binh Thai Vu, Budapest University of Technology and Economics

Binh Thai Vu is a software developer in Analysis, Design and Development of ICT systems (AddICT) Laboratory and Inter-University Cooperative Research Centre, Budapest University of Technology and Economics. His research interest is a cloud computing.

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Published

2017-06-12

How to Cite

Tran, X. T., Do, T. V., & Vu, B. T. (2017). New Algorithms for Balancing Energy Consumption and Performance in Computational Clusters. Computing and Informatics, 36(2), 307–330. Retrieved from http://147.213.75.17/ojs/index.php/cai/article/view/2017_2_307

Issue

Vol. 36 No. 2 (2017): Computing and Informatics

Section

Articles