dc.contributor.author |
Makitla, I
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dc.contributor.author |
Mtsweni, Jabu S
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|
dc.date.accessioned |
2016-07-20T11:07:36Z |
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dc.date.available |
2016-07-20T11:07:36Z |
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dc.date.issued |
2015-12 |
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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
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dc.identifier.uri |
http://hdl.handle.net/10204/8663
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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 |
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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 -
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en_ZA |