Access Weight Replica Consistency Protocol for Large Scale Data Grid

Abstract

Replication is a well known technique to improve reliability and performance for a Data Grid. Keeping consistent content at all distributed replica is an important subject in Data Grid. Replica consistency protocol using classical propagation method called the radial method suffers from high overhead at the master replica site, while line method suffers from high delay time. In Data Grid not all replicas can be dealt with in the same way, since some will be in greater demand than others. Updating first replica having most demand, a greater number of clients would access the updated content in a shorter period of time. In this study, based on asynchronous aggressive update propagation technique, a scalable replica consistency protocol is developed to maintain replica consistency in data grid which aimed to reaching delay reduction and load balancing, such that the high access weight replicas updated faster than the others. The simulation results shows that the proposed protocol is capable of sending the updates to high access replicas in a short period while reducing the total update propagation repose time and reached load balancing.

A Clustering-Based Hybrid Replica Control Protocol for High Availability in Grid Environment

“…However, some issues arise in dealing with replication of data. A major issue with replication is maintaining consistency of the replicas (Belalem and Slimani, 2006;Yang et al, 2007;Radi et al, 2008). When data are replicated at several sites, a consistency control protocol must be enforced to ensure the consistent view of the data.…”

Solving Two Deadlock Cycles through Neighbor Replication on Grid Deadlock Detection Model

“…The researcher can know the latest issues that has been done by other researcher according to their fields of research such as method, technology, application and etc that has been used in enhancing the research fields. The concept of the computing grid arose from the need to share computing power, mostly for the jobs that use read only data sets as input (output from scientific experiments) (Noraziah et al, 2009;Radi et al, 2008). Consequently, the primary design of data management tools for grid computing was used to manage read-only data sets.…”

“…To speed up data access for data grid systems, data can be replicated in multiple locations, so that a user can access the data from nearby locations (Sashi and Thanamani, 2010). Furthermore, replication can reduce access latency; improve data locality, increase robustness, scalability and performance for distributed applications (Radi et al, 2008). Organizations need to provide current data to users who may be geographically remote and request distributed data around multiple sites in data grid (Ahmad et al, 2010a).…”