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PC
2006
13 years 8 months ago
2006
To manage load on large and dynamic networks we have developed Autonomous Mobile Programs (AMPs) that periodically use a cost model to decide where to execute. A disadvantage of d...
CLOUD
2010
ACM
14 years 1 months ago
2010
ACM
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...
HPDC
2007
IEEE
14 years 18 days ago
2007
IEEE
Grid applications often need to distribute large amounts of data efficiently from one cluster to multiple others (multicast). Existing methods usually arrange nodes in optimized t...
SIGMOD
2010
ACM
14 years 1 months ago
2010
ACM
The MapReduce framework is increasingly being used to analyze large volumes of data. One important type of data analysis done with MapReduce is log processing, in which a click-st...
CIKM
2009
Springer
14 years 3 months ago
2009
Springer
Parallel dataflow programming frameworks such as Map-Reduce are increasingly being used for large scale data analysis on computing clouds. It is therefore becoming important to a...