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» Parallelizing Skyline Queries for Scalable Distribution
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CLOUD
2010
ACM
14 years 24 days ago
Comet: batched stream processing for data intensive distributed computing
Batched stream processing is a new distributed data processing paradigm that models recurring batch computations on incrementally bulk-appended data streams. The model is inspired...
Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, B...
SIGMOD
2010
ACM
215views Database» more  SIGMOD 2010»
13 years 2 months ago
Crescando
This demonstration presents Crescando, an implementation of a distributed relational table that guarantees predictable response time on unpredictable workloads. In Crescando, data...
Georgios Giannikis, Philipp Unterbrunner, Jeremy M...
ISPAN
1997
IEEE
13 years 12 months ago
A New General Purpose Parallel Database System
This paper is concerned with the transparent parallelisation of declarative database queries, based on theoretical principles. We have designed an entire database architecture sui...
Mohamad Afshar, J. Bates, Gavin M. Bierman, K. Moo...
CCGRID
2001
IEEE
13 years 11 months ago
QoS-Aware Discovery of Wide-Area Distributed Services
The global computational grids bring together distributed computation/communication resources. Beyond this, we envision the emergence of global `service grids', which provide...
Dongyan Xu, Klara Nahrstedt, Duangdao Wichadakul
IPPS
2005
IEEE
14 years 1 months ago
Evaluation of Rate-Based Adaptivity in Asynchronous Data Stream Joins
Continuous query systems are an intuitive way for users to access streaming data in large-scale scientific applications containing many hundreds of streams. A challenge in these ...
Beth Plale, Nithya N. Vijayakumar