Rapid advances in networking, hardware, and middleware technologies are facilitating the development and deployment of complex grid applications, such as large-scale distributed collaborative scientific simulation, analysis of experiments in elementary particle physics, distributed mission training and virtual surgery for medical instruction. These predominantly collaborative applications are characterized by their very high demand for computing, storage and network bandwidth requirements. Grid applications require secure, controlled, reliable, and guaranteed access to different types of resources, such as network bandwidth, computing power, and storage capabilities, available from multiple service providers. Moreover, they demand multiple, simultaneous end-to-end quality of service (QoS) properties, such as delay guarantees, jitter guarantees, security, scalability, reliability and availability guarantees, and bandwidth and throughput guarantees, for their effective operation. Exis...
Aniruddha S. Gokhale, Balachandran Natarajan