Work place: Department of Computer, A.M.U, Aligarh, 202002, India
E-mail: jmi.amu1@gmail.com
Website:
Research Interests: Information Retrieval, Information Systems, Distributed Computing, Systems Architecture, Computer systems and computational processes, Data Structures and Algorithms
Biography
Mr. Zaki A. Khan pursuing Ph.D from Aligarh Muslim University Aligarh, India. He recived Msc.Tech (industrial math’s with computer Applications) and Bsc (H) Mathematics degree from Jamia Millia Islamia New Delhi, India in 2010 and 2007 respectively. The research areas are parallel and distributed systems, Scheduling Algorithm, Load Balancing, Information Retrieval, Multiprocessor System, and Green Computing. Contributed and attended national and International conferences and workshops in India. He has published various research papers in reputed International journals. Member of CSTA, IAENG, IACSIT and UACEE.
By Zaki A. Khan Jamshed Siddiqui Abdus Samad
DOI: https://doi.org/10.5815/ijcnis.2015.03.03, Pub. Date: 8 Feb. 2015
Scalability and Complexity are crucial performance parameters in the design of Interconnection networks for multiprocessor system. This paper proposed and analyzed a new scalable interconnection network topology named as Linear Crossed Cube (LCQ). LCQ designed is based on the principle of hypercube architecture however, it improves some of the drawbacks of hypercube such as complex extensibility and its VLSI Layout. It inherits most of the desirable properties of hypercube type architectures; the most notably are small diameter and symmetry. LCQ has linear extension at each level of the extension while preserving all the desired topological properties. To evaluate the performance of proposed LCQ, standard scheduling algorithms are being implemented on it. The performance parameters such as Load Imbalance Factor (LIF) and balancing time are evaluated on the proposed LCQ as well as on other similar multiprocessor architectures. To compare the performance of proposed LCQ, standard scheduling scheme is also implemented on other similar multiprocessor architectures. The comparative simulation study shows that the proposed network can be considered as low-cost multiprocessor architecture for parallel system when appropriate scheduling algorithm is implemented onto it.
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