The 8 requirements of real-time stream processing

By M. Stonebraker, Ugur Çetintemel, S. Zdonik. 2005

765 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems, Signal Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Bruce Robbins
2. Daniel Mills
3. Sam Whittle
4. A. Kesari
5. Reuven Lax
6. Qiwen Liu
7. Leonardo Neumeyer
8. Philip Chen

In Information Systems

1. Bruce Robbins
2. Daniel Mills
3. Sam Whittle
4. A. Kesari
5. Reuven Lax
6. Qiwen Liu
7. Leonardo Neumeyer
8. Philip Chen

In Signal Processing

1. Qiwen Liu
2. Philip Chen
3. Tianjian Chen
4. Chunming Zhang
5. Dianhai Yu

Citations in the corpus

• Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (2014, background): “Hence, there is not too much data accumulation at the time dimension for processing [175].”
• S4: Distributed Stream Computing Platform (2010, background): “The emergence of new applications such as real-time search, high frequency trading, and social networks is pushing the limits of what can be accomplished with traditional data processing systems [11].”
• MillWheel: Fault-Tolerant Stream Processing at Internet Scale (2013, methodology): “In evaluating our abstraction, we note that we fulfill the requirements for a streaming system as enumerated by Stonebraker, et al [30].”
• Enlister: baidu's recommender system for the biggest chinese Q&A website (2012, methodology): “If any group shows sign of lacking processing ability, we could just add nodes to that node group to solve the scalability problem [8].”