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CLOUD
2010
ACM
16 years 7 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...
SASO
2007
IEEE
16 years 1 months ago
Novel Mathematics-Inspired Algorithms for Self-Adaptive Peer-to-Peer Computing
This paper describes, and evaluates benefits of, a design methodology to translate certain mathematical models into the design of novel, self-adaptive, peer-to-peer (p2p) distrib...
Steven Y. Ko, Indranil Gupta, Yookyung Jo
WSC
1997
15 years 8 months ago
Visualizing Parallel Simulations in Network Computing Environments: A Case Study
Parallel discrete event simulation systems (PDES) are used to simulate large-scale applications such as modeling telecommunication networks, transportation grids, and battlefield...
Christopher D. Carothers, Brad Topol, Richard Fuji...
SIGGRAPH
1992
ACM
15 years 11 months ago
Generative modeling: a symbolic system for geometric modeling
This paper discusses a new, symbolic approach to geometric modeling called generative modeling. The approach allows specification, rendering, and analysis of a wide variety of sha...
John M. Snyder, James T. Kajiya
PLDI
2010
ACM
16 years 7 days ago
Traceable data types for self-adjusting computation
Self-adjusting computation provides an evaluation model where computations can respond automatically to modifications to their data by using a mechanism for propagating modifica...
Umut A. Acar, Guy E. Blelloch, Ruy Ley-Wild, Kanat...