br/ 2) An innovative set of massively-scalable offline data mining techniques to characterize network traffic, exploiting big-data analytic approaches and cloud-based distributed computation
paradigms on extremely large network traffic datasets.
This technique has been devised to be effective mainly in networks having a power-law node degree distribution, which are able to model many real-world networks such as the Internet, the World Wide Web, citation graphs, and some social networks , The main idea of DLP relies on the following observations: a network with power-law node degree distribution with n nodes typically has a very small average node degree and a high number of nodes with unitary degree; any shortest path from a node with unitary degree v to any other node of the network has necessarily to pass through the unique neighbor of v in the network, and hence v does not provide any useful information for the distributed computation
of shortest paths.
Virtual time II: the cancelback protocol for storage management in distributed simulation, Proceedings of the 9th Annual ACM Symposium on Principle of Distributed Computation
lt;p>Qizmt is a distributed computation
framework based on the MapReduce programming model for processing large data sets in processor clusters.
The first section introduces concepts and principles of grid technology such as distributed computation
and resource-sharing using Web services.
The Fragment and Replicate (FR) algorithm  for distributed computation
of Join operation is one of the earliest algorithms using parallelization in distributed systems.
TSITSIKLIS (1989), Parallel and Distributed Computation
Numerical Methods, Prentice Hall, Englewood Cliffs, New Jersey.
The new work with plants is "the first experiment I know of where you can actually see what looks like a distributed computation
taking place in a natural system," says Melanie Mitchell, who studies distributed emergent computation at Oregon Health and Science University in Beaverton.
A Minimum Delay Routing Algorithm Using Distributed Computation
Concurrent distributed computation
models have been well studied over the past decades.
Papers from the symposium, 64 in all, describe the latest advances in numeric and symbolic computation, scientific computing systems, parallel and distributed computation
, software design, data mining, petri nets and their applications to workflow management, theory and applications of P systems, data clustering and image processing, and cryptography and compression algorithms.
A long-time systems engineer, von Behren has deep experience in distributed computation
, high-performance computing and concurrent algorithms.