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» Scalable and Adaptable Distributed Stream Processing
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CLOUD
2010
ACM
15 years 2 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...
EDOC
2003
IEEE
15 years 2 months ago
An Efficient, Scalable Content-Based Messaging System
Large-scale information processing environments must rapidly search through massive streams of raw data to locate useful information. These data streams contain textual and numeri...
Ian Gorton, Justin Almquist, Nick Cramer, Jereme H...
ICDCS
2008
IEEE
15 years 4 months ago
Toward Predictive Failure Management for Distributed Stream Processing Systems
Distributed stream processing systems (DSPSs) have many important applications such as sensor data analysis, network security, and business intelligence. Failure management is ess...
Xiaohui Gu, Spiros Papadimitriou, Philip S. Yu, Sh...
NOSSDAV
2004
Springer
15 years 3 months ago
Scalable resilient media streaming
We present a low-overhead media streaming system, called SRMS (Scalable Resilient Media Streaming) that can be used to scalably deliver streaming data to a large group of receiver...
Suman Banerjee, Seungjoon Lee, Ryan Braud, Bobby B...
ISCAS
2007
IEEE
125views Hardware» more  ISCAS 2007»
15 years 3 months ago
XML-driven Exploitation of Combined Scalability in Scalable H.264/AVC Bitstreams
— The heterogeneity in the contemporary multimedia environments requires a format-agnostic adaptation framework for the consumption of digital video content. Scalable bitstreams ...
Davy De Schrijver, Wesley De Neve, Koen De Wolf, P...