The data grid technology, which uses the scale of the Internet to solve storage limitation for the huge amount of data, has become one of the hot research topics. Recently, data replication strategies have been widely employed in distributed environment to copy frequently accessed data in suitable sites. The primary purposes are shortening distance of file transmission and achieving files from ...

A surge of interest in data-intensive computing has led to a drastic increase the demand for data centers. Given this growing popularity, centers are becoming primary contributor increased consumption energy worldwide. To mitigate problem, paper revisits DVFS (Dynamic Voltage Frequency Scaling), well-known technique reduce usage processors, from viewpoint distributed systems. Distributed system...

Data replication is a common method used to improve the performance of data access in distributed systems. In this paper, two dynamic replication algorithms, Simple Bottom-Up (SBU) and Aggregate Bottom-Up (ABU), are proposed for the multitier Data Grid. A multi-tier Data Grid simulator called DRepSim is developed for studying the performances of the dynamic replication algorithms. The simulatio...

Data Grids provide geographically distributed resources for large-scale data-intensive applications that generate large data sets. However, ensuring efficient access to such huge and widely distributed data is hindered by the high latencies of the Internet. We address these challenges by employing intelligent replication and caching of objects at strategic locations. In our approach, replicatio...

Data Grid provides sharing services for very large data around the world. Data replication is one of the most effective approaches to reduce access latency and response time. In addition to the benefits, replication has costs such as storage and bandwidth consumption, especially when storage space is low and limited. Therefore,  the data replacement should be done wisely. In this p...

Many important cloud services require replicating massive data from one datacenter (DC) to multiple DCs. While the performance of pair-wise inter-DC transfers has been much improved, prior solutions are insufficient optimize bulk-data multicast, as they fail explore rich overlay paths that exist in geo-distributed DCs, well remaining bandwidth reserved for online traffic under fixed separation ...

In recent years, cloud computing research, specifically data replication techniques and their applications, has been growing. If the replicas number is raised put in multiple positions, it will be expensive to maintain usability, performance stability of application systems. this paper, two bio- inspired algorithms were proposed improve both selection placement environment. The suggested for dy...