Adaptive resource management in the cloud: The CORT (cloud open resource trading) case study

C. Raibulet; A. Zaccara

doi:10.1109/ICAC.2015.55

Adaptive resource management in the cloud: The CORT (cloud open resource trading) case study

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

Abstract

© 2015 IEEE.Essentially, cloud computing is based on a scenario where specialized providers offer a huge amount of resources to stakeholders, which require them based on their actual needs. The stakeholders needs may be characterized by significant fluctuations due to the model of payment, which is based on the pay-per-use paradigm. This has an important implication: cloud providers have to make an initial expensive investment in resources. Nowadays, available cloud computing solutions are provided by known players on the IT market such as Google, IBM, Amazon, or Microsoft. Small or medium size players have difficulties to compete in this domain. In this paper, we introduce our vision for cloud computing which aims to (1) exploit adaptive mechanisms for resource management and optimize resource usage by discouraging idle resources, (2) provide a market exchange model exploiting trading mechanisms for resource allocation, and (3) support failure management for critical situations. These objectives are sustained by a motivating example. Furthermore, the paper introduces several implementation hints based on our current prototype.

Original language	English
Title of host publication	Proceedings - IEEE International Conference on Autonomic Computing, ICAC 2015
Editors	P. Lalanda, S. Kounev, A. Diaconescu, L. Cherkasova
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	343-348
ISBN (Electronic)	9781467369701
DOIs	https://doi.org/10.1109/ICAC.2015.55
Publication status	Published - 14 Sept 2015
Externally published	Yes
Event	12th IEEE International Conference on Autonomic Computing, ICAC 2015 - Grenoble, France Duration: 7 Jul 2015 → 10 Jul 2015

Conference

Conference	12th IEEE International Conference on Autonomic Computing, ICAC 2015
Country/Territory	France
City	Grenoble
Period	7/07/15 → 10/07/15

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Raibulet, C., & Zaccara, A. (2015). Adaptive resource management in the cloud: The CORT (cloud open resource trading) case study. In P. Lalanda, S. Kounev, A. Diaconescu, & L. Cherkasova (Eds.), Proceedings - IEEE International Conference on Autonomic Computing, ICAC 2015 (pp. 343-348). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICAC.2015.55

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abstract = "{\textcopyright} 2015 IEEE.Essentially, cloud computing is based on a scenario where specialized providers offer a huge amount of resources to stakeholders, which require them based on their actual needs. The stakeholders needs may be characterized by significant fluctuations due to the model of payment, which is based on the pay-per-use paradigm. This has an important implication: cloud providers have to make an initial expensive investment in resources. Nowadays, available cloud computing solutions are provided by known players on the IT market such as Google, IBM, Amazon, or Microsoft. Small or medium size players have difficulties to compete in this domain. In this paper, we introduce our vision for cloud computing which aims to (1) exploit adaptive mechanisms for resource management and optimize resource usage by discouraging idle resources, (2) provide a market exchange model exploiting trading mechanisms for resource allocation, and (3) support failure management for critical situations. These objectives are sustained by a motivating example. Furthermore, the paper introduces several implementation hints based on our current prototype.",

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Raibulet, C & Zaccara, A 2015, Adaptive resource management in the cloud: The CORT (cloud open resource trading) case study. in P Lalanda, S Kounev, A Diaconescu & L Cherkasova (eds), Proceedings - IEEE International Conference on Autonomic Computing, ICAC 2015. Institute of Electrical and Electronics Engineers Inc., pp. 343-348, 12th IEEE International Conference on Autonomic Computing, ICAC 2015, Grenoble, France, 7/07/15. https://doi.org/10.1109/ICAC.2015.55

Adaptive resource management in the cloud : The CORT (cloud open resource trading) case study. / Raibulet, C.; Zaccara, A.

Proceedings - IEEE International Conference on Autonomic Computing, ICAC 2015. ed. / P. Lalanda; S. Kounev; A. Diaconescu; L. Cherkasova. Institute of Electrical and Electronics Engineers Inc., 2015. p. 343-348.

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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Adaptive resource management in the cloud: The CORT (cloud open resource trading) case study

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