Continuous Service Optimization as Cloud Brokerage Service

Stamatia Rizou, Yiannis Verginadis, Gregoris Mentzas

2013

Abstract

As cloud service ecosystems evolve, cloud service brokerage systems have emerged as intermediaries between cloud service consumers and cloud providers to preserve and enhance user expectations. In this paper, we describe the functionalities of a cloud brokerage tool that assist cloud brokers to ensure an optimized cloud service selection both during cloud on boarding and operation phases. To this end, we present an optimisation lifecycle providing customized continuous optimisation of cloud service selection and we explain the role of the cloud broker within this service optimization loop.

References

  1. Bucchiarone, Antonio, Cinzia Cappiello, Elisabetta Di Nitto, Raman Kazhamiakin, Valentina Mazza, and Marco Pistore. “Design for Adaptation of ServiceBased Applications: Main Issues and Requirements.” ICSOC/ServiceWave 2009. 2009.
  2. Doyle, Jon, and Richmond H. Thomason. “Background to Qualitative Decision Theory.” AI Magazine, 1999.
  3. Garg, Saurabh Kumar, Steve Versteeg, and Rajkumar Buyya. “SMICloud: A Framework for Comparing and Ranking Cloud Services.” 2011 Fourth IEEE International Conference on Utility and Cloud Computing. 2011.
  4. Godse, Manish, and Shrikant Mulik. “An Approach for Selecting Software-as-a-Service (SaaS) Product.” 2009 IEEE International Conference on Cloud Computing. 2009.
  5. Han, Seung-Min, Mohammad Mehedi Hassan, ChangWoo Yoon, and Eui-Nam Huh. “Efficient service recommendation system for cloud computing market.” 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human. 2009.
  6. Huebscher, Markus C, and Julie A. McCann. “A survey of autonomic computing\-degrees, models, and applications.” ACM Computing Surveys, 2008: 40(3):1-28.
  7. Lawrence, Andy, Karim Djemame, Oliver Wäldrich, Wolfgang Ziegler, and Csilla Zsigri. “Using Service Level Agreements for Optimising Cloud Infrastructure Services.” ServiceWave Workshops. 2010. 38-49.
  8. Li, Jim Zw and Woodside, Murray and Chinneck, John and Litoiu, Marin. “CloudOpt: multi-goal optimization of application deployments across a cloud.” 7th International Conference on Network and Services Management. 2011.
  9. Moon, Hyun Jin, Yun Chi, and Hakan Hacigümüs. “SLAAware Profit Optimization in Cloud Services via Resource Scheduling.” SERVICES 7810. 2010.
  10. Pawluk, Przemyslaw, Bradley Simmons, Michael Smit, Marin Litoiu, and Serge Mankovski. “Introducing STRATOS: A Cloud Broker Service.” 5th IEEE International Conference on Cloud Computing (CLOUD). 2012. 891- 898.
Download


Paper Citation


in Harvard Style

Rizou S., Verginadis Y. and Mentzas G. (2013). Continuous Service Optimization as Cloud Brokerage Service . In Proceedings of the 3rd International Conference on Cloud Computing and Services Science - Volume 1: CLOSER, ISBN 978-989-8565-52-5, pages 382-385. DOI: 10.5220/0004403603820385


in Bibtex Style

@conference{closer13,
author={Stamatia Rizou and Yiannis Verginadis and Gregoris Mentzas},
title={Continuous Service Optimization as Cloud Brokerage Service},
booktitle={Proceedings of the 3rd International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,},
year={2013},
pages={382-385},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004403603820385},
isbn={978-989-8565-52-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,
TI - Continuous Service Optimization as Cloud Brokerage Service
SN - 978-989-8565-52-5
AU - Rizou S.
AU - Verginadis Y.
AU - Mentzas G.
PY - 2013
SP - 382
EP - 385
DO - 10.5220/0004403603820385