As the awareness of resource sharing and cooperation has increased, concurrent information processing and computing have gained unprecedented attention. The current volume presents state-of-the-art results in this field. This volume includes papers that cover a representative set of topics. Three main streams with important and original contributions can be identified: these are cluster and grid computing, wireless networking and computing, and modeling distributed systems. Key aspects of concurrent computing, such as modeling, scheduling, load balancing, and resource allocation, span all streams. Additionally, some papers showcase applications, (e.g., state analysis in electrical circuits, the problem of network maximum flow, infection simulation and evolutionary algorithms), that are eminently suited for (and require) high-performance concurrent computing. Regarding cluster and grid computing -- architectural aspects such as SMPs administration, building fault tolerance in DSM and message passing systems, resource management / scheduling, and load balancing are presented. Four papers deal with diverse aspects of wireless networks, from modeling communication among mobile entities, to routing, naming systems and multimedia streaming.Similar to object distribution models (e.g., HOP and DCOM), SOAP can call methods, services, components, and objects ... Using SOAP over HTTP also enables resources already present on the Web to be unified by using the natural request/response model of HTTP protocol. We use an existing tool named gSoap , which is able to generate the code for serialization from a user-defined specification.
|Title||:||Concurrent Information Processing and Computing|
|Author||:||Alexandru Nicolau, Dan Grigoras|
|Publisher||:||IOS Press - 2005-01-01|