A look at adaptability for service workflows

Onyeka Ezenwoye, S. Masoud Sadjadi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Service-based workflow compositions like those used in Grid and Cloud computing require failure recovery mechanisms that support diverse failure handling strategies, separation of failure handling code from application code and user-defined exception handling. Apart from dealing with failures that result from such environments, these applications should be able to handle failures which are sensitive to the task context (task-specific failures). Traditional distributed system (transaction-based) recovery methods are not sufficient. In this paper, we show a selected group of projects that aim to provide exceptional behavior for service workflows. We classify these systems based on whether recover is performed at the task level, workflow-level or a combination of both.

Original languageEnglish (US)
Title of host publicationProceedings - 2014 International Conference on Cloud and Autonomic Computing, ICCAC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages50-55
Number of pages6
ISBN (Electronic)9781479958412
DOIs
Publication statusPublished - Jan 26 2015
Event2014 International Conference on Cloud and Autonomic Computing, ICCAC 2014 - London, United Kingdom
Duration: Sep 8 2014Sep 12 2014

Publication series

NameProceedings - 2014 International Conference on Cloud and Autonomic Computing, ICCAC 2014

Other

Other2014 International Conference on Cloud and Autonomic Computing, ICCAC 2014
CountryUnited Kingdom
CityLondon
Period9/8/149/12/14

    Fingerprint

Keywords

  • Adaptability
  • Cloud
  • Recovery
  • Service
  • Workflow

ASJC Scopus subject areas

  • Software
  • Computer Science Applications

Cite this

Ezenwoye, O., & Sadjadi, S. M. (2015). A look at adaptability for service workflows. In Proceedings - 2014 International Conference on Cloud and Autonomic Computing, ICCAC 2014 (pp. 50-55). [7024044] (Proceedings - 2014 International Conference on Cloud and Autonomic Computing, ICCAC 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCAC.2014.31