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CLOUD
2010
ACM
10 years 9 months 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...
DEBS
2007
ACM
10 years 8 months ago
High frequency distributed data stream event correlation to improve neonatal clinical management
Approximately eighteen percent (18%) of babies born in New South Wales (NSW), Australia require special care or neonatal intensive care admission. Premature babies can be up to 17...
Carolyn McGregor, Michael Stacey
DBISP2P
2003
Springer
152views Database» more  DBISP2P 2003»
10 years 9 months ago
An Adaptive and Scalable Middleware for Distributed Indexing of Data Streams
Abstract. We are witnessing a dramatic increase in the use of datacentric distributed systems such as global grid infrastructures, sensor networks, network monitoring, and various ...
Ahmet Bulut, Roman Vitenberg, Fatih Emekçi,...
SIGMOD
2010
ACM
377views Database» more  SIGMOD 2010»
10 years 9 months ago
Online aggregation and continuous query support in MapReduce
MapReduce is a popular framework for data-intensive distributed computing of batch jobs. To simplify fault tolerance, the output of each MapReduce task and job is materialized to ...
Tyson Condie, Neil Conway, Peter Alvaro, Joseph M....
NSDI
2010
10 years 5 months ago
MapReduce Online
MapReduce is a popular framework for data-intensive distributed computing of batch jobs. To simplify fault tolerance, many implementations of MapReduce materialize the entire outp...
Tyson Condie, Neil Conway, Peter Alvaro, Joseph M....
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