TY - GEN
T1 - Qualprobes
T2 - IFIP/ACM International Conference on Distributed Systems Platforms and Open Distributed Processing, Middleware 2000
AU - Li, Baochun
AU - Nahrstedt, Klara
N1 - Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2000.
PY - 2000
Y1 - 2000
N2 - It is widely accepted that in order to deliver the best Qualityof- Service (QoS), applications need to be adaptive to the fluctuating computing and communication environments. The middleware layer may assist by controlling the behavior of the applications so that they adapt and reconfigure themselves. In this paper, we present QualProbes, a set of middleware QoS Probing and Profiling services to discover such relationships at run-time. Our approach focuses on meeting the requirements of the critical performance criterion in the application. Such criterion may be affected by changes in more than one application-specific QoS parameters, and these parameters have diversely different resource usage patterns. QualProbes services are able to precisely capture the effects made to the critical performance criterion when resource availability varies, and thus enable more effective control of the application to adapt to resource variations. Our case study with OmniTrack, an omni-directional visual tracking application, provides solid proof that QualProbes significantly enhance our capabilities to satisfy the critical performance criterion, the tracking precision, while controlling the adaptation process of the application.
AB - It is widely accepted that in order to deliver the best Qualityof- Service (QoS), applications need to be adaptive to the fluctuating computing and communication environments. The middleware layer may assist by controlling the behavior of the applications so that they adapt and reconfigure themselves. In this paper, we present QualProbes, a set of middleware QoS Probing and Profiling services to discover such relationships at run-time. Our approach focuses on meeting the requirements of the critical performance criterion in the application. Such criterion may be affected by changes in more than one application-specific QoS parameters, and these parameters have diversely different resource usage patterns. QualProbes services are able to precisely capture the effects made to the critical performance criterion when resource availability varies, and thus enable more effective control of the application to adapt to resource variations. Our case study with OmniTrack, an omni-directional visual tracking application, provides solid proof that QualProbes significantly enhance our capabilities to satisfy the critical performance criterion, the tracking precision, while controlling the adaptation process of the application.
UR - http://www.scopus.com/inward/record.url?scp=84944079293&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84944079293&partnerID=8YFLogxK
U2 - 10.1007/3-540-45559-0_13
DO - 10.1007/3-540-45559-0_13
M3 - Conference contribution
AN - SCOPUS:84944079293
SN - 3540673520
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 256
EP - 272
BT - Middleware 2000 - IFIP/ACM International Conference on Distributed Systems Platforms and Open Distributed Processing, Proceedings
A2 - Sventek, Joseph
A2 - Coulson, Geoffrey
PB - Springer
Y2 - 4 April 2000 through 7 April 2000
ER -