Standard
Profiling-as-a-Service: Adaptive Scalable Resource Profiling for the Cloud in the Cloud. / Kaviani, Nima; Wohlstadter, Eric
; Lea, Rodger.
Service-Oriented Computing 9th International Conference, ICSOC 2011, Paphos, Cyprus, December 5-8, 2011 Proceedings. ed. / Gerti Kappel; Zakaria Maamar; Hamid Motahari-Nezhad. Berlin: Springer, 2011. p. 157-171 (Lecture Notes in Computer Science; Vol. 7084).
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Harvard
Kaviani, N, Wohlstadter, E
& Lea, R 2011,
Profiling-as-a-Service: Adaptive Scalable Resource Profiling for the Cloud in the Cloud. in G Kappel, Z Maamar & H Motahari-Nezhad (eds),
Service-Oriented Computing 9th International Conference, ICSOC 2011, Paphos, Cyprus, December 5-8, 2011 Proceedings. Lecture Notes in Computer Science, vol. 7084, Springer, Berlin, pp. 157-171.
https://doi.org/10.1007/978-3-642-25535-9_11APA
Kaviani, N., Wohlstadter, E.
, & Lea, R. (2011).
Profiling-as-a-Service: Adaptive Scalable Resource Profiling for the Cloud in the Cloud. In G. Kappel, Z. Maamar, & H. Motahari-Nezhad (Eds.),
Service-Oriented Computing 9th International Conference, ICSOC 2011, Paphos, Cyprus, December 5-8, 2011 Proceedings (pp. 157-171). (Lecture Notes in Computer Science; Vol. 7084). Springer.
https://doi.org/10.1007/978-3-642-25535-9_11Vancouver
Kaviani N, Wohlstadter E
, Lea R.
Profiling-as-a-Service: Adaptive Scalable Resource Profiling for the Cloud in the Cloud. In Kappel G, Maamar Z, Motahari-Nezhad H, editors, Service-Oriented Computing 9th International Conference, ICSOC 2011, Paphos, Cyprus, December 5-8, 2011 Proceedings. Berlin: Springer. 2011. p. 157-171. (Lecture Notes in Computer Science). doi: 10.1007/978-3-642-25535-9_11
Author
Bibtex
@inproceedings{82a094a1b55c4393989b1ccb93579689,
title = "Profiling-as-a-Service: Adaptive Scalable Resource Profiling for the Cloud in the Cloud",
abstract = "Runtime profiling of Web-based applications and services is an effective method to aid in the provisioning of required resources, for monitoring service-level objectives, and for detecting implementation defects. Unfortunately, it is difficult to obtain accurate profile data on live client workloads due to the high overhead of instrumentation. This paper describes a cloud-based profiling service for managing the tradeoffs between: (i) profiling accuracy, (ii) performance overhead, and (iii) costs incurred for cloud computing platform usage. We validate our cloud-based profiling service by applying it to an open-source e-commerce Web application. ",
keywords = "Cloud Computing , Resource Monitoring , Application Profiling",
author = "Nima Kaviani and Eric Wohlstadter and Rodger Lea",
year = "2011",
doi = "10.1007/978-3-642-25535-9_11",
language = "English",
isbn = "978-3-642-25534-2",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "157--171",
editor = "Gerti Kappel and Zakaria Maamar and Hamid Motahari-Nezhad",
booktitle = "Service-Oriented Computing 9th International Conference, ICSOC 2011, Paphos, Cyprus, December 5-8, 2011 Proceedings",
}
RIS
TY - GEN
T1 - Profiling-as-a-Service: Adaptive Scalable Resource Profiling for the Cloud in the Cloud
AU - Kaviani, Nima
AU - Wohlstadter, Eric
AU - Lea, Rodger
PY - 2011
Y1 - 2011
N2 - Runtime profiling of Web-based applications and services is an effective method to aid in the provisioning of required resources, for monitoring service-level objectives, and for detecting implementation defects. Unfortunately, it is difficult to obtain accurate profile data on live client workloads due to the high overhead of instrumentation. This paper describes a cloud-based profiling service for managing the tradeoffs between: (i) profiling accuracy, (ii) performance overhead, and (iii) costs incurred for cloud computing platform usage. We validate our cloud-based profiling service by applying it to an open-source e-commerce Web application.
AB - Runtime profiling of Web-based applications and services is an effective method to aid in the provisioning of required resources, for monitoring service-level objectives, and for detecting implementation defects. Unfortunately, it is difficult to obtain accurate profile data on live client workloads due to the high overhead of instrumentation. This paper describes a cloud-based profiling service for managing the tradeoffs between: (i) profiling accuracy, (ii) performance overhead, and (iii) costs incurred for cloud computing platform usage. We validate our cloud-based profiling service by applying it to an open-source e-commerce Web application.
KW - Cloud Computing
KW - Resource Monitoring
KW - Application Profiling
U2 - 10.1007/978-3-642-25535-9_11
DO - 10.1007/978-3-642-25535-9_11
M3 - Conference contribution/Paper
SN - 978-3-642-25534-2
T3 - Lecture Notes in Computer Science
SP - 157
EP - 171
BT - Service-Oriented Computing 9th International Conference, ICSOC 2011, Paphos, Cyprus, December 5-8, 2011 Proceedings
A2 - Kappel, Gerti
A2 - Maamar, Zakaria
A2 - Motahari-Nezhad, Hamid
PB - Springer
CY - Berlin
ER -
