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» Ontology Enabled Learning Resource Modeling and Management
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CLOUD
2010
ACM
14 years 22 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...
EUROMICRO
2009
IEEE
14 years 2 months ago
Long-Term Planning of Development Efforts by Roadmapping
—Success in the software product business requires timely release of new products and upgrades with proper quality and the right features. For this, a systematic approach for man...
Jarno Vähäniitty, Casper Lassenius, Kris...
ICANNGA
2009
Springer
145views Algorithms» more  ICANNGA 2009»
14 years 2 months ago
Supporting Scalable Bayesian Networks Using Configurable Discretizer Actuators
We propose a generalized model with configurable discretizer actuators as a solution to the problem of the discretization of massive numerical datasets. Our solution is based on a ...
Isaac Olusegun Osunmakinde, Antoine B. Bagula
HPDC
2010
IEEE
13 years 8 months ago
Characterising a grid site's traffic
Grid computing has been widely adopted for intensive high performance computing. Since grid resources are distributed over complex large-scale infrastructures, understanding grid ...
Tiejun Ma, Yehia El-khatib, Michael Mackay, Christ...
JRTIP
2008
249views more  JRTIP 2008»
13 years 7 months ago
Model-based mapping of reconfigurable image registration on FPGA platforms
Abstract Image registration is a computationally intensive application in the medical imaging domain that places stringent requirements on performance and memory management efficie...
Mainak Sen, Yashwanth Hemaraj, William Plishker, R...