Many real-time applications need data services in distributed environments. However, providing such data services is a challenging task due to long remote data accessing delays and stringent time requirements of real-time transactions. Replication can help distributed real-time database systems meet the stringent time requirements of application transactions. In this paper, we present two dynam...

ABSTRACT. Data Grid is an infrastructure that manages huge amount of data files and provides intensive computational resources across geographically distributed collaboration. To increase resource availability and to ease resource sharing in such environment, there is a need for replication services. Data replication is one of the methods used to improve the performance of data access in distri...

This paper introduces a new programming model for distributed systems, distributed composite objects (DCO), to meet efficient implementation, transparency, and performance demands of distributed applications with cooperating users connected through the internet. DCO model incorporates two basic concepts: composition and replication. It allows the representation of an object as a collection of s...

Data Grids are today’s emerging infrastructure providing specialized services on handling large datasets that needs to be transferred and replicated among different grid sites. Data replication is an important technique for data availability and fast access. In this paper we present a comparison of various replication models and techniques employed by some major topologies used in data grid env...

Unlike traditional high performance computing environment, such as supercomputers, the cloud computing is a collection of interconnected and virtualized computing resources that are managed to be one or more unified computing resources. The Cloud environment constitutes a heterogeneous and a highly dynamic environment. Failures on the data centers storage nodes are normal rather than exceptiona...

Optimising the use of Grid resources is critical for users to effectively exploit a Data Grid. Data replication is considered a major technique for reducing data access cost to Grid jobs. This paper evaluates a novel replication strategy, based on an economic model, that optimises both the selection of replicas for running jobs and the dynamic creation of replicas in Grid sites. In our model, o...

Distributed Hash Tables offer a resilient lookup service for unstable distributed environments. Resilient data storage, however, requires additional data replication and maintenance algorithms. These algorithms can have an impact on both the performance and the scalability of the system. In this paper, we describe the goals and design space of these replication algorithms. We examine an existin...

The actual gains achieved by replication are a complex function of the number of replicas, the placement of those replicas, the replication protocol, the nature of the transactions performed on the replicas, and the availability and performance characteristics of the machines and networks composing the system. This paper describes the design and implementation of the Replica Management System, ...

Data grid is a distributed collection of storage and computational resources that are not boundedwithin a geophysical location. It is a fast growing area of research and providing efficient data access andmaximum data availability is a challenging task. To achieve this task, data is replicated to different sites. A number of data replication techniques have been presented for data grids. All re...