Home > Research > Publications & Outputs > MANTICORE

Electronic data

Links

Text available via DOI:

View graph of relations

MANTICORE: a framework for partitioning software services for hybrid cloud

Research output: Contribution in Book/Report/ProceedingsPaper

Published

Standard

MANTICORE : a framework for partitioning software services for hybrid cloud. / Kaviani, Nima; Wohlstadter, Eric; Lea, Rodger.

Cloud Computing Technology and Science (CloudCom),: 2012 IEEE 4th International Conference on . IEEE, 2012. p. 333-340.

Research output: Contribution in Book/Report/ProceedingsPaper

Harvard

Kaviani, N, Wohlstadter, E & Lea, R 2012, MANTICORE: a framework for partitioning software services for hybrid cloud. in Cloud Computing Technology and Science (CloudCom),: 2012 IEEE 4th International Conference on . IEEE, pp. 333-340. DOI: 10.1109/CloudCom.2012.6427541

APA

Kaviani, N., Wohlstadter, E., & Lea, R. (2012). MANTICORE: a framework for partitioning software services for hybrid cloud. In Cloud Computing Technology and Science (CloudCom),: 2012 IEEE 4th International Conference on . (pp. 333-340). IEEE. DOI: 10.1109/CloudCom.2012.6427541

Vancouver

Kaviani N, Wohlstadter E, Lea R. MANTICORE: a framework for partitioning software services for hybrid cloud. In Cloud Computing Technology and Science (CloudCom),: 2012 IEEE 4th International Conference on . IEEE. 2012. p. 333-340. Available from, DOI: 10.1109/CloudCom.2012.6427541

Author

Kaviani, Nima; Wohlstadter, Eric; Lea, Rodger / MANTICORE : a framework for partitioning software services for hybrid cloud.

Cloud Computing Technology and Science (CloudCom),: 2012 IEEE 4th International Conference on . IEEE, 2012. p. 333-340.

Research output: Contribution in Book/Report/ProceedingsPaper

Bibtex

@inbook{4f064b13ec5e4d059eec8df9d47631d7,
title = "MANTICORE: a framework for partitioning software services for hybrid cloud",
author = "Nima Kaviani and Eric Wohlstadter and Rodger Lea",
year = "2012",
month = "12",
doi = "10.1109/CloudCom.2012.6427541",
isbn = "9781467345118",
pages = "333--340",
booktitle = "Cloud Computing Technology and Science (CloudCom),",
publisher = "IEEE",

}

RIS

TY - CHAP

T1 - MANTICORE

T2 - a framework for partitioning software services for hybrid cloud

AU - Kaviani,Nima

AU - Wohlstadter,Eric

AU - Lea,Rodger

PY - 2012/12/6

Y1 - 2012/12/6

N2 - Hybrid cloud deployment can be an attractive option for companies wanting to deploy software services on scalable public clouds, while still assuming local control over sensitive data resources. A hybrid deployment, despite providing better control, is difficult to design since code must be partitioned and distributed efficiently between public and private premises. This paper describes our research into automated partitioning of software services for hybrid clouds. We have identified two specific shortfalls of existing partitioning research which are important to a hybrid cloud setting: (i) inflexibility in placement of software function execution between public/private hosts and (ii) no support for making explicit tradeoffs between monetary cost and performance. We propose a new software profiling and partitioning framework (called MANTICORE) which addresses these problems. Experiments on an open-source Web application show that the new approach ensures better performance without increasing costs.

AB - Hybrid cloud deployment can be an attractive option for companies wanting to deploy software services on scalable public clouds, while still assuming local control over sensitive data resources. A hybrid deployment, despite providing better control, is difficult to design since code must be partitioned and distributed efficiently between public and private premises. This paper describes our research into automated partitioning of software services for hybrid clouds. We have identified two specific shortfalls of existing partitioning research which are important to a hybrid cloud setting: (i) inflexibility in placement of software function execution between public/private hosts and (ii) no support for making explicit tradeoffs between monetary cost and performance. We propose a new software profiling and partitioning framework (called MANTICORE) which addresses these problems. Experiments on an open-source Web application show that the new approach ensures better performance without increasing costs.

U2 - 10.1109/CloudCom.2012.6427541

DO - 10.1109/CloudCom.2012.6427541

M3 - Paper

SN - 9781467345118

SP - 333

EP - 340

BT - Cloud Computing Technology and Science (CloudCom),

PB - IEEE

ER -