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Workflow partitioning and deployment on the cloud using Orchestra

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UCC_2014.pdf (2.369Mb)
Date
15/02/2015
Author
Jaradat, Ward
Dearle, Alan
Barker, Adam
Keywords
Service-orientated
Workflows
Orchestration
Partitioning
Computation placement analysis
Deployment
QA75 Electronic computers. Computer science
T-NDAS
BDC
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Abstract
Orchestrating service-oriented workflows is typically based on a design model that routes both data and control through a single point -- the centralised workflow engine. This causes scalability problems that include the unnecessary consumption of the network bandwidth, high latency in transmitting data between the services, and performance bottlenecks. These problems are highly prominent when orchestrating workflows that are composed from services dispersed across distant geographical locations. This paper presents a novel workflow partitioning approach, which attempts to improve the scalability of orchestrating large-scale workflows. It permits the workflow computation to be moved towards the services providing the data in order to garner optimal performance results. This is achieved by decomposing the workflow into smaller sub workflows for parallel execution, and determining the most appropriate network locations to which these sub workflows are transmitted and subsequently executed. This paper demonstrates the efficiency of our approach using a set of experimental workflows that are orchestrated over Amazon EC2 and across several geographic network regions.
Citation
Jaradat , W , Dearle , A & Barker , A 2015 , Workflow partitioning and deployment on the cloud using Orchestra . in 7th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2014) . , 7027501 , IEEE , pp. 251-260 . https://doi.org/10.1109/UCC.2014.34
Publication
7th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2014)
DOI
https://doi.org/10.1109/UCC.2014.34
Type
Conference item
Rights
Copyright © 2014. IEEE. This is the accepted manuscript of a conference paper originally submitted to the IEEE/ACM 7th International Conference on Utility and Cloud Computing- Workflow partitioning and deployment on the cloud using Orchestra Jaradat, W., Dearle, A. & Barker, A. 8 Dec 2014 7th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2014). IEEE, p. 251-260 available from https://doi.org/10.1109/UCC.2014.34
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  • Computer Science Research
  • University of St Andrews Research
URL
http://computing.derby.ac.uk/ucc2014/
URI
http://hdl.handle.net/10023/6104

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