Method for improving cache hit-rates in QoS-aware load balancing algorithm (QoS-LB)

The low cost and variety of future clients (e.g., PDAs, laptops, pagers, printers, and specialized appliances) will result in a larger number of client devices per user. Thin clients will have fast processors, but little or no disk storage so that they will download most of their data and executables. The existence of cheap client hardware with high-resolution graphics and high-quality audio together with high-bandwidth networks will probably lead to applications with increasing demands on network and server performance. We focus on the development of a high-performance, cache-based architecture that is general enough to support most type of server applications. Such an architecture should enable the server to achieve very close to the maximum performance that the architecture can achieve. In addition, customizability and handling heterogeneous objects are also relevant to the architecture because it must be general enough to support a wide variety of applications with different QoS needs