FastFlow: Efficient Scalable Model-Driven Framework for Processing Massive Mobile Stream Data
Joint Authors
Jin, Cang-hong
Liu, Ze-min
Wu, Ming-hui
Ying, Jing
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-18, 18 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-05-28
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Telecommunications Engineering
Abstract EN
Massive stream data mining and computing require dealing with an infinite sequence of data items with low latency.
As far as we know, current Stream Processing Engines (SPEs) cannot handle massive stream data efficiently due to their inability of horizontal computation modeling and lack of interactive query.
In this paper, we detail the challenges of stream data processing and introduce FastFlow, a model-driven infrastructure.
FastFlow differs from other existing SPEs in terms of its user-friendly interface, support of complex operators, heterogeneous outputs, extensible computing model, and real-time deployment.
Further, FastFlow includes optimizers to reorganize the execution topology for batch query to reduce resource cost rather than executing each query independently.
American Psychological Association (APA)
Jin, Cang-hong& Liu, Ze-min& Wu, Ming-hui& Ying, Jing. 2015. FastFlow: Efficient Scalable Model-Driven Framework for Processing Massive Mobile Stream Data. Mobile Information Systems،Vol. 2015, no. 2015, pp.1-18.
https://search.emarefa.net/detail/BIM-1072779
Modern Language Association (MLA)
Jin, Cang-hong…[et al.]. FastFlow: Efficient Scalable Model-Driven Framework for Processing Massive Mobile Stream Data. Mobile Information Systems No. 2015 (2015), pp.1-18.
https://search.emarefa.net/detail/BIM-1072779
American Medical Association (AMA)
Jin, Cang-hong& Liu, Ze-min& Wu, Ming-hui& Ying, Jing. FastFlow: Efficient Scalable Model-Driven Framework for Processing Massive Mobile Stream Data. Mobile Information Systems. 2015. Vol. 2015, no. 2015, pp.1-18.
https://search.emarefa.net/detail/BIM-1072779
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1072779