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CLOUD
2010
ACM
15 years 9 months 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...
KDD
2009
ACM
364views Data Mining» more  KDD 2009»
16 years 5 months ago
Causality quantification and its applications: structuring and modeling of multivariate time series
Time series prediction is an important issue in a wide range of areas. There are various real world processes whose states vary continuously, and those processes may have influenc...
Takashi Shibuya, Tatsuya Harada, Yasuo Kuniyoshi
UM
2010
Springer
15 years 3 months ago
User Modeling for Telecommunication Applications: Experiences and Practical Implications
Abstract. Telecommunication applications based on user modeling focus on extracting customer behavior and preferences from the information implicitly included in Call Detail Record...
Heath Hohwald, Enrique Frías-Martíne...
140
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FIDJI
2003
Springer
15 years 10 months ago
Distributed Composite Objects: A New Object Model for Cooperative Applications
This paper introduces a new programming model for distributed systems, distributed composite objects (DCO), to meet efficient implementation, transparency, and performance demands ...
Guray Yilmaz, Nadia Erdogan
JSAC
2006
108views more  JSAC 2006»
15 years 4 months ago
Distributed Nonlinear Integer Optimization for Data-Optical Internetworking
Abstract--We present a novel approach for joint optical network provisioning and Internet protocol (IP) traffic engineering, in which the IP and optical networks collaboratively op...
Anwar Elwalid, Debasis Mitra, Qiong Wang