No.011 Large-scale Distributed Computation

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Shonan Meeting Seminar 011

Overview

As the amount of data produced by large scale systems such as environmental monitoring,
scientific experiments and communication networks grows rapidly, new approaches are
needed to effectively process and analyze such data. There are many promising directions in
the area of large-scale distributed computation, that is, where multiple computing entities work
together over partitions of the (huge) data to perform complex computations. Two important
paradigms in this realm are distributed continuous monitoring, which continually maintains
an accurate estimate of a complex query, and MapReduce, a primarily batch approach to large
cluster computation. The aim of this meeting is to bring together computer scientists with interests
in this field to present recent innovations, find topics of common interest and to stimulate
further development of new approaches to deal with massive data.