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A novel service deployment approach based on resilience metrics for service-oriented system.

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Title: A novel service deployment approach based on resilience metrics for service-oriented system.
Authors: Wu, Yumei1, Fang, Yuanyuan1, Liu, Bin1 liubin_buaa@126.com, Zhao, Zehui1
Source: Personal & Ubiquitous Computing. Oct2018, Vol. 22 Issue 5/6, p1099-1107. 9p. 9 Diagrams, 6 Graphs.
Subjects: Service-oriented architecture (Computer science), Information technology standards, Undirected graphs, Service design, Computing platforms
Abstract: Service-Oriented Architecture (SOA) has been widely used in IT areas and is expected to bring a lot of benefits. However, the SOA system developers have to address new challenging issues such as computational resource failure before such benefits can be realized. This paper develops a graph-theoretic model for the SOA system and proposes metrics that quantify the resilience of such system under resource failures. It explores two service deployment strategies to optimize resilience by taking not only communication costs among services but also the computation costs of services into consideration. Among them, two types of undirected graphs are developed to model the relationships between services, including Service Dependence Graph (SDG) and Service Concurrence Graph (SCG). Then, these two graphs are integrated into Service Relationship Graph (SRG) and adopt the k-cut optimization theory to complete the service deployment. Finally, this paper verifies the effectiveness of the above methods in improving the resilience of the system through a series of experiments, which indicate that our methods perform better than the previous methods in improving resilience of the SOA system. [ABSTRACT FROM AUTHOR]
Copyright of Personal & Ubiquitous Computing is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Service-Oriented Architecture (SOA) has been widely used in IT areas and is expected to bring a lot of benefits. However, the SOA system developers have to address new challenging issues such as computational resource failure before such benefits can be realized. This paper develops a graph-theoretic model for the SOA system and proposes metrics that quantify the resilience of such system under resource failures. It explores two service deployment strategies to optimize resilience by taking not only communication costs among services but also the computation costs of services into consideration. Among them, two types of undirected graphs are developed to model the relationships between services, including Service Dependence Graph (SDG) and Service Concurrence Graph (SCG). Then, these two graphs are integrated into Service Relationship Graph (SRG) and adopt the k-cut optimization theory to complete the service deployment. Finally, this paper verifies the effectiveness of the above methods in improving the resilience of the system through a series of experiments, which indicate that our methods perform better than the previous methods in improving resilience of the SOA system. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Personal & Ubiquitous Computing is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s00779-018-1163-0
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      – Code: eng
        Text: English
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        Type: general
      – SubjectFull: Information technology standards
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      – SubjectFull: Undirected graphs
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      – SubjectFull: Service design
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      – SubjectFull: Computing platforms
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            – D: 01
              M: 10
              Text: Oct2018
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              Y: 2018
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