The Client{Server DBMS model has emerged as the main paradigm in database computing. The Enhanced Client{Server architecture takes advantage of all the available client resources including their disk managers. Clients can cache server data into their own disk units if data are part of their operational space. However, when updates occur at the server, some of the client data managers may need t...

We study parallel Load Balancing protocols for the client-server distributed model defined as follows. There is a set C of n clients and S servers where each client has (at most) constant number d⩾1 requests that must be assigned to some server. The server one are connected other via fixed bipartite graph: v can only sent in its neighborhood N(v). goal assign every request so minimize maximum l...

Recent developments in software and hardware changed the way database systems are built and operate. In this paper we present database architectures based on the Client-Server paradigm and study their performance and scalability under different query/update workloads. The architectures are: Standard Client-Server, ClientServer with Multiple Disks, and Enhanced Client-Server. Data replication an...

The role of brokers in client-server systems is to accommodate flexible, open, heterogeneous system design and to facilitate fault tolerance and improved performance through load balancing. Some architectural design decisions, such as broker distribution and server replication, strongly affect the system performance. The paper presents alternative client-broker-server architectures and compares...