Efficient Straggler Replication in Large-Scale Parallel Computing

An Efficient Data Replication Strategy in Large-Scale Data Grid Environments Based on Availability and Popularity

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 ...

Java Communications for Large-Scale Parallel Computing

EFFICIENT LARGE - SCALE PROCESS - ORIENTED PARALLEL SIMULATIONSKalyan

Process oriented views are widely recognized as very useful for modeling, but diicult to implement ee-ciently in a simulation system, as compared to event oriented views. In particular, the complexity and run-time overheads of the implementation have prevented the widespread use of process oriented views in optimistic parallel simulations. Here, we review the conventional approaches to implemen...

Geo-Replication in Large Scale Cloud Computing Applications

The work described in the thesis proposes a Geodistributed key-value datastore, named ChainReaction, that offers causal+ consistency, with high performance, fault-tolerance, and scalability. ChainReaction avoids the bottlenecks of linearizability while providing competitive performance when compared with systems merely offering eventual consistency. We have experimentally evaluated the benefits...

Efficient Partial Replication to Improve Locality in Large-Scale Systems

This work addresses data replication and consistency maintenance in large scale systems. Based on the observation that partial replication of data allows to improve network traffic and to preserve locality, particularly in large scale systems, it focuses on the constraints necessary to maintain consistency when partial replication is used. More precisely, it points out that the transfer of info...