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» Challenges in Parallel Graph Processing
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CLOUD
2010
ACM
14 years 2 months ago
Stateful bulk processing for incremental analytics
This work addresses the need for stateful dataflow programs that can rapidly sift through huge, evolving data sets. These data-intensive applications perform complex multi-step c...
Dionysios Logothetis, Christopher Olston, Benjamin...
ICDE
2007
IEEE
193views Database» more  ICDE 2007»
14 years 10 months ago
Categorization and Optimization of Synchronization Dependencies in Business Processes
requirement. Furthermore, programming using sequence constructs normally produce nested structures and The current approachfor modeling synchronization in scattered code, especiall...
Qinyi Wu, Calton Pu, Akhil Sahai, Roger S. Barga
ECOOPW
1997
Springer
14 years 1 months ago
The Object Model for a Product Based Development Process
The traditional workflow process model is typically illustrated with a graph of activities, tasks, deliverables and techniques. From an object-oriented perspective, every identifi...
Pavel Hruby
CGO
2009
IEEE
14 years 1 months ago
Communication-Sensitive Static Dataflow for Parallel Message Passing Applications
Message passing is a very popular style of parallel programming, used in a wide variety of applications and supported by many APIs, such as BSD sockets, MPI and PVM. Its importance...
Greg Bronevetsky
HPDC
2010
IEEE
13 years 10 months ago
Detouring and replication for fast and reliable internet-scale stream processing
iFlow is a replication-based system that can achieve both fast and reliable processing of high volume data streams on the Internet scale. iFlow uses a low degree of replication in...
Christopher McConnell, Fan Ping, Jeong-Hyon Hwang