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     Research Journal of Applied Sciences, Engineering and Technology


Shape-and Orientation-independent 2D-Buddy Processor Allocation Strategy in 2-D Mesh-based Multicomputers

Othman Jabir, Saleh Oqeili and Sulieman Bani-Ahmad
Prince Abdullah Bin Ghazi Faculty of Information Technology, Al-Balqa Applied University, Main Campus, Salt, Jordan
Research Journal of Applied Sciences, Engineering and Technology  2016  9:682-689
http://dx.doi.org/10.19026/rjaset.13.3341  |  © The Author(s) 2016
Received: November ‎3, ‎2014  |  Accepted: April ‎1, ‎2015  |  Published: November 05, 2016

Abstract

We propose and evaluate a new processor allocation strategy in two-dimensional Multicomputers. The proposed strategy is comparatively evaluated against a set of well-known allocation strategies from the literature, namely; the 2D buddy System (Juang et al., 1997), the Multiple Buddy System and the Paging non-contiguous processor allocation strategies. Our experimental results show that the proposed allocation strategy has solved a number of flaws and drawbacks that have been observed in previously proposed strategies. Further, we observed that our proposed allocation strategy is scalable. We refer to the newly proposed strategy by the “Flexible 2D Buddy System” or F2DBS for short. In our experimental results, we also demonstrated that the F2DBS strategy is more flexible and applies to any 2D mesh of any shape and orientation.

Keywords:

Multicomputers, processor allocation, 2D buddy system , 2-D mesh , F2DBS,


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Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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