Incremental service level agreements violation handling with time impact analysis
Saved in:
| Title: | Incremental service level agreements violation handling with time impact analysis |
|---|---|
| Authors: | Ismail, Azlan1 azlanismail@tmsk.uitm.edu.my, Yan, Jun2 jyan@uow.edu.au, Shen, Jun2 jshen@uow.edu.au |
| Source: | Journal of Systems & Software. Jun2013, Vol. 86 Issue 6, p1530-1544. 15p. |
| Subjects: | Machine learning, Quality of service, Systems theory, Strategic planning, Information theory, Robust control, Fault location (Engineering), Artificial intelligence |
| Abstract: | Abstract: This research addresses a critical issue of service level agreement (SLA) violation handling, i.e., time constraint violation related to service-based systems (SBS). Whenever an SLA violation occurs to a service, it can potentially impact dependent services, leading to unreliable SBS. Therefore, an SLA violation handling support is much required to produce a robust and adaptive SBS. There are several approaches to realizing exceptions and faults handling support for SBS, focusing on the detection stage, the analysis stage, and the resolution stage. However, the current works have not considered the handling strategy that takes the impact information into account to reduce the amount of change. This is essential to effectively handle the violation while consuming a reasonable recovery execution time. Therefore, in this research, we propose an incremental SLA violation handling with time impact analysis. The main role of the time impact analysis in the approach is to automatically generate an impact region based on the negative time impact conditions. Furthermore, the time impact analysis generates the appropriate time requirements. Both the region and the requirement are useful to support the recovery process. Based on a simplified evaluation study, the outcome suggests that the proposed approach can reduce the amount of service change within a reasonable recovery execution time. [Copyright &y& Elsevier] |
| Copyright of Journal of Systems & Software is the property of Elsevier B.V. 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.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: egs DbLabel: Engineering Source An: 87013895 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Incremental service level agreements violation handling with time impact analysis – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ismail%2C+Azlan%22">Ismail, Azlan</searchLink><relatesTo>1</relatesTo><i> azlanismail@tmsk.uitm.edu.my</i><br /><searchLink fieldCode="AR" term="%22Yan%2C+Jun%22">Yan, Jun</searchLink><relatesTo>2</relatesTo><i> jyan@uow.edu.au</i><br /><searchLink fieldCode="AR" term="%22Shen%2C+Jun%22">Shen, Jun</searchLink><relatesTo>2</relatesTo><i> jshen@uow.edu.au</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Systems+%26+Software%22">Journal of Systems & Software</searchLink>. Jun2013, Vol. 86 Issue 6, p1530-1544. 15p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Machine+learning%22">Machine learning</searchLink><br /><searchLink fieldCode="DE" term="%22Quality+of+service%22">Quality of service</searchLink><br /><searchLink fieldCode="DE" term="%22Systems+theory%22">Systems theory</searchLink><br /><searchLink fieldCode="DE" term="%22Strategic+planning%22">Strategic planning</searchLink><br /><searchLink fieldCode="DE" term="%22Information+theory%22">Information theory</searchLink><br /><searchLink fieldCode="DE" term="%22Robust+control%22">Robust control</searchLink><br /><searchLink fieldCode="DE" term="%22Fault+location+%28Engineering%29%22">Fault location (Engineering)</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Abstract: This research addresses a critical issue of service level agreement (SLA) violation handling, i.e., time constraint violation related to service-based systems (SBS). Whenever an SLA violation occurs to a service, it can potentially impact dependent services, leading to unreliable SBS. Therefore, an SLA violation handling support is much required to produce a robust and adaptive SBS. There are several approaches to realizing exceptions and faults handling support for SBS, focusing on the detection stage, the analysis stage, and the resolution stage. However, the current works have not considered the handling strategy that takes the impact information into account to reduce the amount of change. This is essential to effectively handle the violation while consuming a reasonable recovery execution time. Therefore, in this research, we propose an incremental SLA violation handling with time impact analysis. The main role of the time impact analysis in the approach is to automatically generate an impact region based on the negative time impact conditions. Furthermore, the time impact analysis generates the appropriate time requirements. Both the region and the requirement are useful to support the recovery process. Based on a simplified evaluation study, the outcome suggests that the proposed approach can reduce the amount of service change within a reasonable recovery execution time. [Copyright &y& Elsevier] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Systems & Software is the property of Elsevier B.V. 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.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=87013895 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.jss.2013.01.052 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 1530 Subjects: – SubjectFull: Machine learning Type: general – SubjectFull: Quality of service Type: general – SubjectFull: Systems theory Type: general – SubjectFull: Strategic planning Type: general – SubjectFull: Information theory Type: general – SubjectFull: Robust control Type: general – SubjectFull: Fault location (Engineering) Type: general – SubjectFull: Artificial intelligence Type: general Titles: – TitleFull: Incremental service level agreements violation handling with time impact analysis Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ismail, Azlan – PersonEntity: Name: NameFull: Yan, Jun – PersonEntity: Name: NameFull: Shen, Jun IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2013 Type: published Y: 2013 Identifiers: – Type: issn-print Value: 01641212 Numbering: – Type: volume Value: 86 – Type: issue Value: 6 Titles: – TitleFull: Journal of Systems & Software Type: main |
| ResultId | 1 |
