An Optimal Resource Management System for Computational Grid Environment: Computational grids are distributed systems composed of heterogeneous computing resources which are distributed geographically and administratively. Resource Management System addresses problems related to the optimal allocation of the computing resources which compose a grid. The average weighted response times of all submitted jobs decreases thereby increasing the throughput of the system.
Context Aware Computing: Modern computers are divorced reality, unaware of who, where and what around them. Context aware computing is making computers more aware of the physical and social worlds we live in. Ontology based context models are used as explicit specification of a shared conceptualization. It is strong in the field of normalization and formality. Use of context enhances the performance, load sharing and enables functionality according to a user's expectations.
Pervasive Computing: Pervasive computing environments have users with their personal devices interacting without need of wires, by forming ad-hoc networks. Such devices considered pervasive are highly increasingly faster processors, larger memories and wider communication capabilities, which allows certain autonomy for collaborating and sharing resources. They do also require a suitable security mechanism in order to avoid unauthorized access, or disclosure/modification of relevant information. This research aims at developing a distributed security solution, making use of the autonomy and cooperation capability of the devices, since in open dynamic environment it is very difficult to depend on central server.