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» Implementing Fault-Tolerant Distributed Applications
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MOBISYS
2010
ACM
15 years 6 months ago
Darwin phones: the evolution of sensing and inference on mobile phones
We present Darwin, an enabling technology for mobile phone sensing that combines collaborative sensing and classification techniques to reason about human behavior and context on ...
Emiliano Miluzzo, Cory Cornelius, Ashwin Ramaswamy...
IPPS
2008
IEEE
15 years 10 months ago
Scaling alltoall collective on multi-core systems
MPI Alltoall is one of the most communication intense collective operation used in many parallel applications. Recently, the supercomputing arena has witnessed phenomenal growth o...
Rahul Kumar, Amith R. Mamidala, Dhabaleswar K. Pan...
ICDCS
2005
IEEE
15 years 9 months ago
Flexible Consistency for Wide Area Peer Replication
The lack of a flexible consistency management solution hinders P2P implementation of applications involving updates, such as read-write file sharing, directory services, online ...
Sai Susarla, John B. Carter
ICPADS
2010
IEEE
15 years 2 months ago
Enhancing MapReduce via Asynchronous Data Processing
The MapReduce programming model simplifies large-scale data processing on commodity clusters by having users specify a map function that processes input key/value pairs to generate...
Marwa Elteir, Heshan Lin, Wu-chun Feng
DSN
2002
IEEE
15 years 9 months ago
Reducing the Cost of Group Communication with Semantic View Synchrony
View Synchrony (VS) is a powerful abstraction in the design and implementation of dependable distributed systems. By ensuring that processes deliver the same set of messages in ea...
José Orlando Pereira, Luís Rodrigues...