Home > Research > Publications & Outputs > Profiling-as-a-Service: Adaptive Scalable Resou...
View graph of relations

Profiling-as-a-Service: Adaptive Scalable Resource Profiling for the Cloud in the Cloud

Research output: Contribution in Book/Report/ProceedingsPaper

Published

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/ProceedingsPaper

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. DOI: 10.1007/978-3-642-25535-9_11

APA

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). Berlin: Springer. DOI: 10.1007/978-3-642-25535-9_11

Vancouver

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). Available from, DOI: 10.1007/978-3-642-25535-9_11

Author

Kaviani, Nima; Wohlstadter, Eric; Lea, Rodger / Profiling-as-a-Service: Adaptive Scalable Resource Profiling for the Cloud in the Cloud.

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/ProceedingsPaper

Bibtex

@inbook{82a094a1b55c4393989b1ccb93579689,
title = "Profiling-as-a-Service: Adaptive Scalable Resource Profiling for the Cloud in the Cloud",
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",
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 - CHAP

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 - 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

PB - Springer

ER -