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Adaptive energy-efficient qos-aware scheduling algorithm for TCP/IP mobile cloud

Shojafar, Mohammad, Cordeschi, Nicola, Abawajy, Jemal H. and Baccarelli, Enzo 2015, Adaptive energy-efficient qos-aware scheduling algorithm for TCP/IP mobile cloud, in GLOBECOM 2015: Proceedings of the IEEE Global Communications 2015 Conference, IEEE, Piscataway, N.J., pp. 1-6, doi: 10.1109/GLOCOMW.2015.7413988.

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Title Adaptive energy-efficient qos-aware scheduling algorithm for TCP/IP mobile cloud
Author(s) Shojafar, Mohammad
Cordeschi, Nicola
Abawajy, Jemal H.
Baccarelli, Enzo
Conference name IEEE Global Communications. Conference (58th : 2015: San Diego, Calif.)
Conference location San Diego, Calif.
Conference dates 6-10 Dec. 2015
Title of proceedings GLOBECOM 2015: Proceedings of the IEEE Global Communications 2015 Conference
Editor(s) [Unknown]
Publication date 2015
Conference series IEEE Global Communications Conference
Start page 1
End page 6
Total pages 6
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) TCP/IP-based mobile cloud
nonconvex optimization
internet data centers
dynamic voltage frequency scaling
resource provisioning
energy-efficiency
Summary The expected pervasive use of mobile cloud computing and the growing number of Internet data centers have brought forth many concerns, such as, energy costs and energy saving management of both data centers and mobile connections. Therefore, the need for adaptive and distributed resource allocation schedulers for minimizing the communication-plus-computing energy consumption has become increasingly important. In this paper, we propose and test an efficient dynamic resource provisioning scheduler that jointly minimizes computation and communication energy consumption, while guaranteeing user Quality of Service (QoS) constraints. We evaluate the performance of the proposed dynamic resource provisioning algorithm with respect to the execution time, goodput and bandwidth usage and compare the performance of the proposed scheduler against the exiting approaches. The attained experimental results show that the proposed dynamic resource provisioning algorithm achieves much higher energy-saving than the traditional schemes.
ISBN 9781467395267
Language eng
DOI 10.1109/GLOCOMW.2015.7413988
Field of Research 080503 Networking and Communications
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2015, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30084371

Document type: Conference Paper
Collection: School of Information Technology
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