Distributed Positioning of Replica using Grass Growing Structure
Authors
Worawit Fankam-ai, Peraphon Sophatsathit
Corresponding Author
Worawit Fankam-ai
Available Online July 2013.
- DOI
- 10.2991/iccnce.2013.112How to use a DOI?
- Keywords
- Distributed Positioning, Replica location, Grass Growing Structure.
- Abstract
This paper proposes a distributed data replication scheme based on Grass Growing Structure to reduce bandwidth consumption and access latency in distributed systems. The replication will be multicast to the nearest nodes using Depth Limit Search algorithm within a predefined limiting distance. Performance is measured by means of effective network usage and mean job time. The EU Data Grid Testbed is employed as the benchmarking assessment to compare the proposed approach with conventional Centralized and Flooding algorithms. The results yield less access latency, good scalability, and reliability than those comparable approaches.
- Copyright
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Worawit Fankam-ai AU - Peraphon Sophatsathit PY - 2013/07 DA - 2013/07 TI - Distributed Positioning of Replica using Grass Growing Structure BT - Proceedings of the International Conference on Computer, Networks and Communication Engineering (ICCNCE 2013) PB - Atlantis Press SP - 446 EP - 449 SN - 1951-6851 UR - https://doi.org/10.2991/iccnce.2013.112 DO - 10.2991/iccnce.2013.112 ID - Fankam-ai2013/07 ER -