Heterogeneous resource management for dynamic real-time systems

Dynamic real-time systems face many resource management problems. This paper addresses the following problems: (1) dynamic resource allocation to provide QoS objectives, (2) heterogeneous resources, and (3) non-intrusive accurate monitoring of QoS, resource availability, and resource needs. This paper describes the techniques of resource manager (RM) handling above problems to support QoS of dynamic distributed real-time systems. The contributions of this paper to solve these problems are as follows: unification of dynamic resource requirements among heterogeneous hosts, control of resources in heterogeneous environments, feasibility analysis, and dynamic load balancing/sharing. Our heuristic allocation scheme not only allows higher workloads than random, round robin, least load by 257%, 142%, and 36.4%, respectively, but also improves QoS better than random, round robin, and least load 38.6%, 28.5%, and 31.6%, respectively.