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193
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CLOUD
2010
ACM
15 years 12 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...
SIGCOMM
2012
ACM
13 years 9 months ago
TUBE: time-dependent pricing for mobile data
The two largest U.S. wireless ISPs have recently moved towards usage-based pricing to better manage the growing demand on their networks. Yet usage-based pricing still requires IS...
Sangtae Ha, Soumya Sen, Carlee Joe-Wong, Youngbin ...
167
Voted
SIGMOD
2010
ACM
227views Database» more  SIGMOD 2010»
15 years 11 months ago
SecureBlox: customizable secure distributed data processing
We present SecureBlox, a declarative system that unifies a distributed query processor with a security policy framework. SecureBlox decouples security concerns from system speciļ...
William R. Marczak, Shan Shan Huang, Martin Braven...
191
Voted
DRM
2003
Springer
16 years 2 days ago
Constructing a virtual primary key for fingerprinting relational data
Agrawal and Kiernan’s watermarking technique for database relations [1] and Li et al’s fingerprinting extension [6] both depend critically on primary key attributes. Hence, t...
Yingjiu Li, Vipin Swarup, Sushil Jajodia
208
Voted
ISM
2008
IEEE
273views Multimedia» more  ISM 2008»
15 years 6 months ago
Understanding Data-Driven Decision Support Systems
It is important for managers and Information Technology professionals to understand data-driven decision support systems and how such systems can provide business intelligence and ...
Daniel J. Power