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CLOUD
2010
ACM
14 years 28 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...
CAISE
2004
Springer
14 years 1 months ago
Network-based Business Process Management: a Discussion on Embedding Business Logic in Communications Networks
Advanced Business Process Management (BPM) tools enable the decomposition of previously integrated and often ill-defined processes into reusable process modules. These process modu...
Louis-François Pau, Peter H. M. Vervest
DAWAK
2008
Springer
13 years 9 months ago
UML-Based Modeling for What-If Analysis
In order to be able to evaluate beforehand the impact of a strategical or tactical move, decision makers need reliable previsional systems. What-if analysis satisfies this need by ...
Matteo Golfarelli, Stefano Rizzi
NSDI
2004
13 years 9 months ago
Consistent and Automatic Replica Regeneration
Reducing management costs and improving the availability of large-scale distributed systems require automatic replica regeneration, i.e., creating new replicas in response to repl...
Haifeng Yu, Amin Vahdat
EUSAI
2007
Springer
14 years 2 months ago
Distributed AI for Ambient Intelligence: Issues and Approaches
Abstract. Research in many fields of AI, such as distributed planning and reasoning, agent teamwork and coalition formation, cooperative problem solving and action theory has adva...
Theodore Patkos, Antonis Bikakis, Grigoris Antonio...