Since agents have the ability to migrate to outperforming resources they can potentially balance the load of heterogeneous systems. However, to balance resources efficiently agents must take the load into account. Thus, to support the agent migration strategy the application of server selection systems has been proposed recently. Server selection systems keep track of the load of network and ho...

This paper describes a simple hardware mechanism and related compiler support for software-controlled speculative loads. The compiler issues speculative load instructions based on anticipated data references and the ability of the memory system to hide memory latency in high-performance processors. The architectural support for such a mechanism is simple and minimal, yet handles faults graceful...

The customer load profile clustering method is used to make the TDLP (Typical Daily Load Profile) to estimate the quarter hourly load profile of non-AMR (Automatic Meter Reading) customers. This study examines how the repeated clustering method improves the ability to discriminate among the TDLPs of each cluster. The k-means algorithm is a well-known clustering technology in data mining. Repeat...

Feedback guided dynamic load balancing is the process of equilibrating the load of all the processors of a system during execution time based on information gathered from them. It provides better execution times by better utilizing the systems resources. In this work we have suggested a new dynamic load balancing model, named Wave Propagation Model, that is based on the diffusion balancing meth...