The hyperstar interconnection network
Journal of Parallel and Distributed Computing
Representation of electronic mail filtering profiles: a user study
Proceedings of the 5th international conference on Intelligent user interfaces
Dynamic parallel access to replicated content in the internet
IEEE/ACM Transactions on Networking (TON)
A Practical Approach to Dynamic Load Balancing
IEEE Transactions on Parallel and Distributed Systems
Analysis of Parallel Downloading for Large File Distribution
FTDCS '03 Proceedings of the The Ninth IEEE Workshop on Future Trends of Distributed Computing Systems
Performance Analysis of Electronic Commerce Multiprocessor Server
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 6 - Volume 6
On the Effect of Large-Scale Deployment of Parallel Downloading
WIAPP '03 Proceedings of the The Third IEEE Workshop on Internet Applications
Implementation Issues of Parallel Downloading Methods for a Proxy System
ICDCSW '05 Proceedings of the Fourth International Workshop on Assurance in Distributed Systems and Networks (ADSN) (ICDCSW'05) - Volume 01
IEEE Transactions on Computers
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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.