AGENT BASED OPTIMIZED REPLICA MANAGEMENT IN DATA GRIDS
Sharing of data in a distributed environment such as grid leads to various design issues such. One of the effective measures for accessing the distributed data is replication. This paper addresses replica management issues such as availability, placement and consistency. Proper management of replica...
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Published in | Investigación operacional Vol. 41; no. 2; p. 232 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Editorial Universitaria de la Republica de Cuba
01.05.2020
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Subjects | |
Online Access | Get full text |
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Summary: | Sharing of data in a distributed environment such as grid leads to various design issues such. One of the effective measures for accessing the distributed data is replication. This paper addresses replica management issues such as availability, placement and consistency. Proper management of replicas in a distributed grid environment improves the accessibility of updated replica. A strategy namely, Replica Creation, Placement and Consistency of data (RCPC) is proposed. RCPC dynamically creates an optimal number of replicas and places them on nodes having minimum placement cost. An agent-based adaptive threshold approach is used efficiently for maintaining consistency among the replicated data. RCPC is simulated using Optorsim simulator and the results are evaluated in terms of job execution time, the effectiveness of network usage, hit ratio, transfer rate, storage utilization and computing usage. KEYWORDS: Data Replication, Replica Creation, Replica Placement, Replica Consistency MSC: 68M20 Compartirdata en un ambiente distribuido como mallas lleva a varios aspectos de diseño. Una de las medidas efectivas para acceder a la data distribuida es replicar. Este paper trata del manejo de aspectos de la réplicacomo la disponibilidad, ubicación y consistencia. Un apropiado manejo de las réplicas en un ambiente distribuido como mallas mejora la accesibilidad de la réplicaactualizada. Una estrategiallamada, Réplica Creation, Placement and Consistency of data (RCPC) es propuesta. RCPC crea dinámicamente un numero optimal deréplicas y las pone sobre nodosque tienen un mínimodel costo de ubicación. Un enfoque basado en agentes de umbral adaptativoes usado eficientemente para mantener la consistencia entre la data réplicada. RCPC es simulada usando el simulador Optorsim simulator y los resultados son evaluados en términos del tiempo de ejecuciónde la tarea, la efectividad del uso de la red, la tasa de "hit", la tasa de transferencia, lautilizacióndel almacenaje y el aprovechamiento de computación. KEYWORDS Replicacion de la Data, Creacion de la Replica, Ubicacion de la Replica, Consistencia de la Replica |
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ISSN: | 0257-4306 |