Ali Sheidaei Karambasti

Work place: No15, Ghafari Alley, Mashahir St., Ghaem Maghame Farahani Ave., Tehran, Iran



Research Interests: Social Computing, Real-Time Computing, Computing Platform, Social Information Systems, Data Structures and Algorithms, Randomized Algorithms


Ali. Sheidaei Karambasti: received his B.S in computer engineering from Sistan and Balouchestan university, Zahedan in 2010. His research interests are in areas of social network analyzing, real time computing ecommerce systems, graph layout algorithms, similarity ranking algorithms, classification algorithms, enterprise application development.

Author Articles
A Distributed Fault Tolerance Global Coordinator Election Algorithm in Unreliable High Traffic Distributed Systems

By Danial Rahdari Amir Masoud Rahmani Niusha Aboutaleby Ali Sheidaei Karambasti

DOI:, Pub. Date: 8 Feb. 2015

Distributed systems consist of several management sites which have different resource sharing levels. Resources can be shared among inner site and outer site processes at first and second level respectively. Global coordinator should exist in order to coordinate access to multi site’s shared resources. Moreover; some other coordinators should manage access to inner site’s shared resources so that exerting appropriate coordinator election algorithms in each level is crucial to achieve most efficient system. In this paper a hierarchical distributed election algorithm is proposed which eliminates single point of failure of election launcher. Meanwhile traffic is applied to network at different times and the number of election messages is extremely decreased as well which applies more efficiency especially in high traffic networks. A standby system between coordinators and their first alternative is considered to induct less wait time to processes which want to communicate with coordinator.

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