A novel algorithm for fast retrival of information from a multiprocessor server

The popular resources in the internet are located in multiple servers that can be downloaded in parallel by a number of internet file downloading applications. In this paper an overview of a six nodes multiprocessor server, Linearly Extensible Cube (LEC), has been carried out to achieve both load balancing and downloading information efficiently. The dynamic scheduling algorithm to balance the load of multiprocessor is implemented. The database on the server is organized in such a way that a fast retrieval of information can be achieved. A new proposed algorithm is implemented on the server which uses store and forward like technique. A comparative simulation study has been carried out and the average time to download a file is computed. The simulation results show that the given multiprocessor architecture, when implemented as a server with the proposed algorithm reduces the resource download time.

[1]  Debasish Ghose,et al.  ELISA: An estimated load information scheduling algorithm for distributed computing systems , 1999 .

[2]  Stephen Taylor,et al.  A Practical Approach to Dynamic Load Balancing , 1998, IEEE Trans. Parallel Distributed Syst..

[3]  Spiro Philopoulos.  Experimental Study of Parallel Downloading Schemes for Internet Mirror Sites , 2007 .

[4]  Songyang Lao,et al.  Information Assistant: An Initiative Topic Search Engine , 2005, ICMLC.

[5]  Pablo Rodriguez,et al.  Dynamic parallel access to replicated content in the internet , 2002, TNET.

[6]  Khaled Day,et al.  The Hyperstar Interconnection Network , 1998, J. Parallel Distributed Comput..

[7]  Pierfrancesco Foglia,et al.  Performance analysis of electronic commerce multiprocessor server , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[8]  Kenji Ishida,et al.  Implementation issues of parallel downloading methods for a proxy system , 2005, 25th IEEE International Conference on Distributed Computing Systems Workshops.

[9]  Bharadwaj Veeravalli,et al.  Design and Performance Evaluation of Queue-and-Rate-Adjustment Dynamic Load Balancing Policies for Distributed Networks , 2006, IEEE Transactions on Computers.

[10]  Zhang Bei,et al.  Building a specialized search engine of special subject , 2002, 2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering. TENCOM '02. Proceedings..

[11]  Catherine Rosenberg,et al.  Analysis of parallel downloading for large file distribution , 2003, The Ninth IEEE Workshop on Future Trends of Distributed Computing Systems, 2003. FTDCS 2003. Proceedings..

[12]  Ling-Da Wu,et al.  Information Assistant: a novel initiative topic search engine , 2005, 2005 International Conference on Machine Learning and Cybernetics.

[13]  Michael J. Pazzani,et al.  Representation of electronic mail filtering profiles: a user study , 2000, IUI '00.

[14]  Mostafa Ammar,et al.  On the effect of large-scale deployment of parallel downloading , 2003, Proceedings the Third IEEE Workshop on Internet Applications. WIAPP 2003.