E. Rosas, N. Hidalgo and M. Marin, “Two-Level Result Caching for Web Search Queries on Structured P2P Networks,” Proceedings of IEEE 18th International Conference on Parallel and Distributed Systems, Singapore, 17-19 December 2012, pp. 221-228.

has been cited by the following article:

• TITLE: Decentralization of a Multi Data Source Distributed Processing System Using a Distributed Hash Table

  AUTHORS: Grzegorz Chmaj, Shahram Latifi

  KEYWORDS: Data Transmission; Distributed Processing; Distributed Hash Table; Energy Dissipation

  JOURNAL NAME: International Journal of Communications, Network and System Sciences, Vol.6 No.10, October 25, 2013

  ABSTRACT: A distributed processing system (DPS) contains many autonomous nodes, which contribute their own computing power. DPS is considered a unified logical structure, operating in a distributed manner; the processing tasks are divided into fragments and assigned to various nodes for processing. That type of operation requires and involves a great deal of communication. We propose to use the decentralized approach, based on a distributed hash table, to reduce the communication overhead and remove the server unit, thus avoiding having a single point of failure in the system. This paper proposes a mathematical model and algorithms that are implemented in a dedicated experimental system. Using the decentralized approach, this study demonstrates the efficient operation of a decentralized system which results in a reduced energy emission.