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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhou Zhao Futian Wang Xiaoliang Fan Xiao Liu |
| Copyright Year | 2014 |
| Description | Author affiliation: Shanghai Key Lab. of Trustworthy Comput., East China Normal Univ., Shanghai, China (Zhou Zhao; Xiao Liu) || Sch. of Inf. Sci. & Eng., Lanzhou Univ., Lanzhou, China (Xiaoliang Fan) || Sch. of Comput. Sci. & Technol., Anhui Univ., Hefei, China (Futian Wang) |
| Abstract | In recent years, cloud computing is establishing itself as the latest high-performance and high-throughput computing paradigm, and thus doing business in the cloud is becoming a reality. However, due to the dynamic nature of the cloud environment, the on-time completion of time-constrained business workflows is a big challenge. Workflow temporal verification as the major approach to monitor and control the correctness of temporal consistency plays a critical role in the on-time completion of business workflow instances. In the recent decade, great efforts have been dedicated to the area of workflow temporal verification and it is high time that we should define the key research issues for business cloud workflows in order to keep our research on the right track. In this paper, we systematically investigate this problem and propose four key research issues based on the introduction of a generic temporal verification framework. Meanwhile, some preliminary solutions and open challenges are presented and discussed. Finally, Swin DeW-V, an on-going research project on temporal verification as part of our Swin DeW-C cloud workflow system, is also demonstrated. |
| Starting Page | 33 |
| Ending Page | 40 |
| File Size | 686796 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781479967155 |
| DOI | 10.1109/SKG.2014.36 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-08-27 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Measurement Cloud computing Cloud Computing Workflow Temporal Verification Quality of service Throughput Workflow Time factors Monitoring Quality of Service Business |
| Content Type | Text |
| Resource Type | Article |
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