Data persistence is a major problem in reliable data transmission. It is defined as the ability
of data to remain the same even when it is sent over a network. Data persistence is essential …

Distributed software systems are the basis for innovative applications (eg pervasive
computing, telecommunication services, and control engineering). The key for achieving …

Higher availability and better performance of data-centric applications can be achieved by
replication of objects or data items. If data integrity, a correctness criterion for such systems …

As the number of processors increases, so does communication latency and the probability
of component failure. A technique that addresses these problems is data replication, which …

BACKGROUND Systems for online analytical processing (OLAP) need to handle growing
Volumes of critical data and in the same time to meet challenging user requirements for fast …

Fault tolerance in distributed systems relies heavily on some form of replication. Replication
can also be used to reduce the access latency and the bandwidth consumption in large …

Summary form only given. We examine the architecture of computer systems designed to
update, integrate and serve enterprise information. Our analysis of their scale, performance …

Data replication is often considered in distributed database systems to enhance availability
and performance. The benefit of data replication, however can only be realized at the cost of …

One way of achieving high availability of data in a distributed system is to replicate the data
on several nodes. We present an algorithm for a replicated storage system which takes …

A reliable data server (RDS) is a distributed system that encapsulates replicated data
objects (either main memory or secondary storage copies on different sites) and their …