Towards Modeling Large-Scale Data Flows in a Multidatacenter Computing System With Petri Net

There are several use cases that involve the need to transfer data between datacenters when processing large-scale data sets. Data transmission in a multidatacenter computing system has new characteristics that are hard to express and handle using traditional methods. Thus, it is necessary for a new...

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Bibliographic Details
Published in:IEEE systems journal 2015-06, Vol.9 (2), p.416-426
Main Authors: Weijing Song, Lizhe Wang, Ranjan, Rajiv, Kolodziej, Joanna, Dan Chen
Format: Article
Language:English
Subjects:
Bandwidth
Computational modeling
Computer architecture
Data communication
Data models
Data processing
Large-scale data flow
multidatacenter computing
Petri net
Remote sensing
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Summary:There are several use cases that involve the need to transfer data between datacenters when processing large-scale data sets. Data transmission in a multidatacenter computing system has new characteristics that are hard to express and handle using traditional methods. Thus, it is necessary for a new transmission strategy to be developed for users of multidatacenter computing systems. This paper gives a general data model, a network model, and a multidatacenter model to describe the research problem clearly. We propose four new methods to meet the new features of data transmission among datacenters. Based on these models and methods, we propose a new data flow transmission model and analyze its validity.
ISSN:1932-8184
1937-9234
DOI:10.1109/JSYST.2013.2283954