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A generalized Web Service response time metric to support collaborative and corroborative Web Service monitoring

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dc.contributor.author Makitla, I
dc.contributor.author Mtsweni, Jabu S
dc.date.accessioned 2016-07-20T11:07:36Z
dc.date.available 2016-07-20T11:07:36Z
dc.date.issued 2015-12
dc.identifier.citation Makitla, I. and Mtsweni, J.S. 2015. A generalized Web Service response time metric to support collaborative and corroborative Web Service monitoring. In: The 10th International Conference for Internet Technology and Secured Transactions (ICITST - 2015), London, UK, December 14-16, 2015 en_US
dc.identifier.uri http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7412124&tag=1
dc.identifier.uri http://hdl.handle.net/10204/8663
dc.description The 10th International Conference for Internet Technology and Secured Transactions (ICITST - 2015), London, UK, December 14-16, 2015. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, please consult the publisher's website en_US
dc.description.abstract In this paper, we describe the development of a generalized metric for computing response time of a web service. Such a generalized metric would help to develop consensus with regards to the meanings of contracted Quality of Service (QoS) parameters; this also avoids the confusion that may arise when the same QoS parameter is understood differently by both the service provider and the consumer (e.g. response time versus execution time). Without a generalized metric for response time, contemporary monitoring approaches employ measures such as incentivizing the service consumers to honestly report their perceived service quality. Other measures involve using a dedicated monitoring service to observe the service execution and enforce the contracted QoS. This is a costly duplication of infrastructure. Having a generalized metric for each QoS parameter eliminates the need for incentive schemes or costly dedicated monitoring infrastructure. en_US
dc.language.iso en en_US
dc.publisher IEEE Xplore en_US
dc.relation.ispartofseries Workflow;15981
dc.subject Web Service en_US
dc.subject Monitoring en_US
dc.subject Response Time en_US
dc.subject Generalized Metric en_US
dc.title A generalized Web Service response time metric to support collaborative and corroborative Web Service monitoring en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Makitla, I., & Mtsweni, J. S. (2015). A generalized Web Service response time metric to support collaborative and corroborative Web Service monitoring. IEEE Xplore. http://hdl.handle.net/10204/8663 en_ZA
dc.identifier.chicagocitation Makitla, I, and Jabu S Mtsweni. "A generalized Web Service response time metric to support collaborative and corroborative Web Service monitoring." (2015): http://hdl.handle.net/10204/8663 en_ZA
dc.identifier.vancouvercitation Makitla I, Mtsweni JS, A generalized Web Service response time metric to support collaborative and corroborative Web Service monitoring; IEEE Xplore; 2015. http://hdl.handle.net/10204/8663 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Makitla, I AU - Mtsweni, Jabu S AB - In this paper, we describe the development of a generalized metric for computing response time of a web service. Such a generalized metric would help to develop consensus with regards to the meanings of contracted Quality of Service (QoS) parameters; this also avoids the confusion that may arise when the same QoS parameter is understood differently by both the service provider and the consumer (e.g. response time versus execution time). Without a generalized metric for response time, contemporary monitoring approaches employ measures such as incentivizing the service consumers to honestly report their perceived service quality. Other measures involve using a dedicated monitoring service to observe the service execution and enforce the contracted QoS. This is a costly duplication of infrastructure. Having a generalized metric for each QoS parameter eliminates the need for incentive schemes or costly dedicated monitoring infrastructure. DA - 2015-12 DB - ResearchSpace DP - CSIR KW - Web Service KW - Monitoring KW - Response Time KW - Generalized Metric LK - https://researchspace.csir.co.za PY - 2015 T1 - A generalized Web Service response time metric to support collaborative and corroborative Web Service monitoring TI - A generalized Web Service response time metric to support collaborative and corroborative Web Service monitoring UR - http://hdl.handle.net/10204/8663 ER - en_ZA


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