As data and knowledge volume keep increasing while global means for information dissemination continue to diversify, new methods, modeling paradigms, and structures are needed to support efficiently the mounting scalability requirements.
In the last few years we have seen the proliferation of the …
As data and knowledge volume keep increasing while global means for information dissemination continue to diversify, new methods, modeling paradigms, and structures are needed to support efficiently the mounting scalability requirements. In the last few years we have seen the proliferation of the use of heterogeneous distributed systems, ranging from simple Networks of Workstations, to highly complex Grid Computing environments. Such computational paradigms have been preferred due to their reduced costs and inherent scalability, but their efficient usage pose many challenges in terms of information access, storage and retrieval as well as in terms of algorithms for efficiently manage, transfer, and analyze huge volume of data and knowledge. Grid computing, P2P technology, data and knowledge bases, distributed information retrieval technology, and networking technology should all converge to address the scalability concern. Furthermore, with the advent of emerging computing architectures - e.g. SMTs, GPUs, Multicores, etc. - the importance of designing techniques explicitly targeting these systems, is becoming more and more important. The Third International Conference on Scalable Information Systems will focus on a wide array of scalability issues and investigate new approaches to tackle problems arising from the ever-growing size and complexity of information of all kinds.