Capacity planning in client - server systems

Abstract

The proliferation of client - server systems in business continues unabated, as applications are split into local tasks run on `client' workstations and resource-intensive computations run on a `server' mainframe. The complexity of such systems requires quantitative modelling for their efficient design and reconfiguration throughout their lifetime. The tools and techniques that are needed for the effective performance management of distributed client - server systems are discussed and illustrated by a case study taken from the financial sector.