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Mathematica - Wolfram research
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My research interests include
distributed middleware overlay
systems, distributed data stream systems, especially techniques and
architectures for improving performance, scalability, and availability of
such systems.
| Scalable Optimization of Multiple Stream Queries in Large-Scale Distributed Data Stream Processing Systems |
| - with Prof. Ling Liu, Prof. Brian
Cooper and Prof. Karsten Schwan |
| Modern networks have moved beyond basic data transport
to become platforms for processing huge amounts of continuously
produced data. In order to deal with the scale of
the streaming data produced in distributed enterprise,
financial, scientific and monitoring applications, we
must push as much computation as possible into the network,
so that data can be processed efficiently in flight.
This approach results in a hugely complex planning problem:
how to best utilize networked computing resources to execute
large numbers of data processing tasks with maximum
throughput? |
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| InfoBeacons - Guiding Users to Information Sources |
| - with Prof. Brian
Cooper |
| The Internet provides a
wealth of useful information in a vast number of dynamic information
sources, but it is difficult to determine which sources are useful
for a given query. Most existing techniques either require explicit
source cooperation (for example, by exporting data summaries), or
build a relatively static source characterization (for example, by
assigning a topic to the source). We present a system, called
InfoBeacons that takes a different approach: data and sources are
left “as is,” and a peer-to-peer network of beacons uses past query
results to “guide” queries to sources, who do the actual query
processing. This approach has several advantages, including
requiring minimal changes to sources, tolerance of dynamism and
heterogeneity, and the ability to scale to large numbers of sources. |
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| CubeCache - Efficient Query Processing and Distributed Caching
of OLAP queries in a peer-to-peer network |
| - with
Prof. Ling Liu,
Prof.Brian Cooper |
| Abstract: Peer-to-peer systems are an area of much recent activity due to
their cost-effectiveness, scalability and ability to distribute the
overhead of sharing and storing data and performing computations.
These characteristics make such systems ideal for OLAP query
processing. In this project, we describe the framework for a system
that utilizes a peer-to-peer network to efficiently process OLAP
queries. Specifically, we consider the problem of searching for data
in such a network and present techniques to locate data and perform
query processing with load balancing. |
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