Today with the rapidly accumulated data, datadriven applications are emerging in science and commercial areas. On both HPC systems and clouds the continuously widening performance gap between storage and computing resource prevents us from building scalable data-intensive systems. Distributed NoSQL storage systems are known for their ease of use and attractive performance and are increasingly u...

I. ABSTRACT Distributed storage systems introduce redundancy to protect data from node failures. After a storage node fails, the lost data should be regenerated at a replacement storage node as soon as possible to maintain the same level of redundancy. Minimizing such a regeneration time is critical to the reliability of distributed storage systems. Existing work commits to reduce the regenerat...

Peer-to-peer applications (P2P) are no longer limited to home users, and start being accepted in academic and corporate environments. While file sharing and instant messaging applications are the most traditional examples, they are no longer the only ones benefiting from the potential advantages of P2P networks. For example, network file storage, data transmission, distributed computing, and co...

Parallel applications running on clusters require both high-performance communications between nodes and efficient access to the storage system. We propose to improve the performance of distributed storage systems in clusters by efficiently using the underlying high-performance network to access distant storage systems. We show that storage requirements are very different from those of parallel...

The challenge of electricity distribution’s upgrade to incorporate new technologies is big, and electric utilities are mandated to work diligently on this agenda, thus making investments to ensure that current networks maintain their electricity supply commitments secure and reliable in face of disruptions and adverse environmental conditions from a variety of sources. The paper presents a new ...

Abstract— Data grids are an important branch of gird computing which provide mechanisms for the management of large volumes of distributed data. Energy efficiency has recently emerged as a hot topic in large distributed systems. The development of computing systems is traditionally focused on performance improvements driven by the demand of client's applications in scientific and business domai...

High-performance storage systems are evolving from centralized architectures and specialized hardware to ”storage bricks”, i.e. a large set of decentralized commodity components with more processing power and network throughput. These emerging systems offer increased flexibility for tailoring storage to application needs. In this paper, we present Locus, an extensible framework for cluster stor...

Distributed Systems are useful for computation and storage of large scale data at dispersed location. Distributed File System (DFS) is a subsystem of Distributed System. DFS is a means of sharing of storage space and data. Servers, Storage devices and Clients are on dispersed location in DFS. Fault tolerance and Scalability are two main features of distributed file system. Performance of DFS is...

There have been a lot of studies on distributed storage systems and peer-to-peer file systems based on distributed hash tables (DHTs), in which nodes have global unique identifiers generated by a hash function. Since such distributed systems are built on top of a heterogeneous and unreliable infrastructure, replication techniques are often used to improve object availability. However, typical c...

Effective data management in today’s competitive enterprise environment is an important issue. Data is information; and information is knowledge. Hence, fast and effective access to data is very important. Replication is one such widely accepted phenomenon in distributed environment, where data is stored at more than one site for performance and reliability reasons. Applications and architectur...