Similarity search methods are widely used as kernels in various data mining and machine learning applications including those in computational biology, web search/clustering. Near...
: The concept of natural neighbors employs the notion of distance to define local neighborhoods in discrete data. Especially when querying and accessing large scale data, it is im...
Emerging VLSI technologies and platforms are giving rise to systems with inherently high potential for runtime failure. Such failures range from intermittent electrical and mechan...
A fundamental problem in a large scale decentralized stream processing system is how to best utilize the available resources and admission control the bursty and high volume input...
The simplicity and robustness of unstructured P2P system make it a preferable architecture for constructing real large scale file sharing system. Most of the existing paradigms re...