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» Implementing a high-volume, low-latency market data processi...
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2009
ACM
15 years 10 months ago
Implementing a high-volume, low-latency market data processing system on commodity hardware using IBM middleware
A stock market data processing system that can handle high data volumes at low latencies is critical to market makers. Such systems play a critical role in algorithmic trading, ri...
Xiaolan J. Zhang, Henrique Andrade, Bugra Gedik, R...
DEBS
2010
ACM
15 years 7 months ago
Evaluation of streaming aggregation on parallel hardware architectures
We present a case study parallelizing streaming aggregation on three different parallel hardware architectures. Aggregation is a performance-critical operation for data summarizat...
Scott Schneider, Henrique Andrade, Bugra Gedik, Ku...
REPLICATION
2010
15 years 1 months ago
A History of the Virtual Synchrony Replication Model
In this chapter, we discuss a widely used fault-tolerant data replication model called virtual synchrony. The model responds to two kinds of needs. First, there is the practical qu...
Ken Birman
122
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CLUSTER
2004
IEEE
15 years 7 months ago
An efficient end-host architecture for cluster communication
Cluster computing environments built from commodity hardware have provided a cost-effective solution for many scientific and high-performance applications. Likewise, middleware te...
Xin Qi, Gabriel Parmer, Richard West