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Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.3/216395
- Title
- A generic QoS framework for cloud workflow systems
- Author(s)
- Liu, Xiao; Yang, Yun; Yuan, Dong; Zhang, Gaofeng; Li, Wenhao; Cao, Dahai
- Abstract
- Due to the dynamic nature of cloud computing, how to achieve satisfactory QoS (Quality of Service) in cloud workflow systems becomes a challenge. Meanwhile, since QoS requirements have many dimensions, a unified system design for different QoS management components is required to reduce the system complexity and software development cost. Therefore, this paper proposes a generic QoS framework for cloud workflow systems. Covering the major stages of a workflow lifecycle, the framework consists of four components, viz. QoS requirement specification, QoS-aware service selection, QoS consistency monitoring and QoS violation handling. While there are many QoS dimensions, this paper illustrates a concrete performance framework as a case study and briefly touches others. We also demonstrate the system implementation and evaluate the effectiveness of the performance framework in our cloud workflow system.
- Publication type
- Conference paper
- Research centre
- Swinburne University of Technology. Faculty of Information and Communication Technologies
- Source
- Proceedings of the 9th IEEE International Conference on Dependable, Autonomic and Secure Computing (DASC 2011), including the 9th International Conference on Pervasive Intelligence and Computing (PICom 2011), the 9th International Symposium on Embedded Computing (EmbeddedCom 2011), the 1st International Conference on Cloud and Green Computing (CGC 2011) and the 1st International Conference on Social Computing and its Applications (SCA 2011), Sydney, New South Wales, Australia, 12-14 December 2011 / Jinjun Chen, Wanchun Dou, Jianxun Liu, Laurence T. Yang and Jianhua Ma (eds.), pp. 713-720
- Publication year
- 2011
- Keyword(s)
- Cloud computing; Quality of service; Software framework; Workflow system
- Publisher
- IEEE
- ISBN
- 9781467300063, 1467300063
- Publisher URL
- http://dx.doi.org/10.1109/DASC.2011.124
- Copyright
- Copyright © 2011 IEEE.
- Research Projects
-
Novel cloud computing based workflow technology for managing large numbers of process instances, Australian Research Council grant number LP0990393
Cost effective storage of massive intermediate data in cloud computing applications, Australian Research Council grant number DP110101340
- Peer reviewed
