In Data Grid, large quantity of data files are generated and many users around the world need to access such data for their research and experiments. Replication is a key optimization technique to manage such a huge amount of data by replicating data in multiple grid sites. Replication goals are how to decrease bandwidth consumption, improve fault tolerance, and enhance scalability. Due to dyna...

Data Grid environment is a geographically distributed that deal with date-intensive application in scientific and enterprise computing. In data-intensive applications data transfer is a primary cause of job execution delay. Data access time depends on bandwidth, especially when hierarchy of bandwidth appears in network. Effective job scheduling can reduce data transfer time by considering hiera...

This paper proposes a protocol suite for dynamic replication and migration of Internet objects. It consists of an algorithm for deciding on the number and location of object replicas and an algorithm for distributing requests among currently available object replicas. Our approach attempts to place replicas in the vicinity of a majority of requests while ensuring at the same time that no server...

To achieve better scalability in a fully replicated distributed main-memory database, we propose support for virtual full replication [6]. Full replication is often used to improve availability and predictability in distributed real-time applications. In a fully replicated database all updates are sent to all nodes regardless of where the data is going to be used there or not. In a fully replic...

Synchronous replication is highly desired in todays IT organizations as any data loss may have significant monetary effect on the organization. In synchronous replication every write is acknowledged before more data is replicated. Due to the speed of light limitation on information transfer and the typical two round trip SCSI write protocol, synchronous replication is usually limited to a 50 mi...

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 distributed sys...

Data Grid environment is a geographically distributed that deal with date-intensive application in scientific and enterprise computing. In data-intensive applications data transfer is a primary cause of job execution delay. Data access time depends on bandwidth, especially when hierarchy of bandwidth appears in network. Effective job scheduling can reduce data transfer time by considering hiera...

To maintain genome integrity, eukaryotic cells initiate DNA replication once per cell cycle after assembling prereplicative complexes (preRCs) on chromatin at the end of mitosis and during G1. In S phase, preRCs are disassembled, precluding initiation of another round of replication. Cdt1 is a key member of the preRC and its correct regulation via proteolysis and by its inhibitor Geminin is ess...