research-article

The KOALA cloud management service: a modern approach for cloud infrastructure management

Authors:

Christian Baun,

Marcel KunzeAuthors Info & Claims

CloudCP '11: Proceedings of the First International Workshop on Cloud Computing Platforms

Article No.: 1, Pages 1 - 6

https://doi.org/10.1145/1967422.1967423

Published: 10 April 2011 Publication History

Abstract

While the variety of public and private cloud infrastructure and storage service offerings increases, only few tools exist to efficiently manage hybrid cloud resources of different cloud providers. KOALA is a novel cloud management tool that allows to work with a large variety of services of various public and private cloud providers in a seamless and transparent way.

While most management solutions like command-line tools or browser extensions require a local installation, KOALA follows the cloud paradigm and operates itself as a software service on the basis of a public or private cloud platform. In addition, KOALA executes alternatively standalone with a Linux or Mac OS X system.

The KOALA cloud manager allows to control almost all existing cloud resources with an API compatible to the Amazon Web Services. The users of KOALA have the freedom of choice to use any browser and device to interact with the cloud services. Especially in cases where the users have strong requirements regarding security and privacy, it is a benefit to run the management solution for different cloud services in a private context.

References

[1]

M. Armbrust, A. Fox, R. Griffith, A. D. Joseph, R. H. Katz, A. Konwinski, G. Lee, D. A. Patterson, A. Rabkin, I. Stoica, and M. Zaharia. Above the clouds: A berkeley view of cloud computing. Technical Report UCB/EECS-2009-28, EECS Department, University of California, Berkeley, Feb 2009.

[2]

A. Auyoung, P. Buonadonna, B. N. Chun, C. Ng, D. C. Parkes, J. Shneidman, A. C. Snoeren, and A. Vahdat. Two auction-based resource allocation environments: Design and experience, 2008.

[3]

A. Auyoung, B. N. Chun, A. C. Snoeren, and A. Vahdat. Resource allocation in federated distributed computing infrastructures, 2004.

[4]

A. I. Avetisyan, R. Campbell, I. Gupta, M. T. Heath, S. Y. Ko, G. R. Ganger, M. A. Kozuch, D. O'Hallaron, M. Kunze, T. T. Kwan, K. Lai, M. Lyons, D. S. Milojicic, H. Y. Lee, Y. C. Soh, N. K. Ming, J.-Y. Luke, and H. Namgoong. Open cirrus: A global cloud computing testbed. Computer, 43:35--43, 2010.

Digital Library

[5]

C. Baun, M. Kunze, J. Nimis, and S. Tai. Cloud Computing: Web-basierte dynamische IT-Services. Springer, 2009.

Digital Library

[6]

M.-E. B&#233;gin. An EGEE Comparative Study: Grids and Clouds -- Evolution or Revolution. CERN, 2008.

[7]

C. Bunch, N. Chohan, C. Krintz, J. Chohan, J. Kupferman, P. Lakhina, Y. Li, and Y. Nomura. An Evaluation of Distributed Datastores Using the AppScale Cloud Platform. In IEEE Cloud10: International Conference on Cloud Computing, July 2010.

Digital Library

[8]

R. Buyya, D. Abramson, and J. Giddy. Nimrod/G: An architecture for a resource management and scheduling system in a global computational Grid. In Proceedings of the 4th international conference on High Performance Computing in Asia-Pacific Region, pages 283--289. IEEE Computer Society Press, 2000.

[9]

N. Chohan, C. Bunch, S. Pang, C. Krintz, N. Mostafa, S. Soman, and R. Wolski. AppScale: Scalable and Open AppEngine Application Development and Deployment. First International Conference on Cloud Computing, 2009.

[10]

T. Eymann, W. Streitberger, and S. Hudert. CATNETS -- Open-Market Approaches for Self-Organizing Grid Resource Allocation. In Proceedings of the 4th International Workshop on Grid Economics and Business Models, volume 4685 of Lecture Notes in Computer Science, pages 176--181. Lecture Notes in Computer Science (LNCS), 2007.

Digital Library

[11]

K. Keahey, M. Tsugawa, A. Matsunaga, and J. Fortes. Sky Computing. Internet Computing, IEEE, 13(5):43--51, August 2009.

Digital Library

[12]

K. Keahey, M. Tsugawa, A. Matsunaga, and J. Fortes. Sky Computing. IEEE Internet Computing, 13:43--51, 2009.

Digital Library

[13]

K. Knese. Evaluation und Implementierung einer Accounting-L&#246;sung f&#252;r die Private Cloud mit Eucalyptus. Duale Hochschule Baden-W&#252;rttemberg Karlsruhe, August 2010.

[14]

K. Lai, L. Rasmusson, E. Adar, S. Sorkin, L. Zhang, and B. A. Huberman. Tycoon: an Implemention of a Distributed Market-Based Resource Allocation System. Technical report, HP Labs, Palo Alto, CA, USA, Dec. 2004.

[15]

P. Marshall, K. Keahey, and T. Freeman. Elastic Site Using Clouds to Elastically Extend Site Resources. April 2010.

[16]

N. Nisan, S. London, O. Regev, and N. Camiel. Globally Distributed Computation over the Internet: The POPCORN Project. International Conference on Distributed Computing Systems, May 1998.

Digital Library

[17]

D. Nurmi, R. Wolski, C. Grzegorczyk, G. Obertelli, S. Soman, L. Youseff, and D. Zagorodnov. Eucalyptus: A Technical Report on an Elastic Utility Computing Architecture Linking Your Programs to Useful Systems. In UCSB Computer Science Technical Report Number 2008-10, 2008.

[18]

D. Nurmi, R. Wolski, C. Grzegorczyk, G. Obertelli, S. Soman, L. Youseff, and D. Zagorodnov. The Eucalyptus Open-source Cloud-computing System. In CCA'08: Proceedings of Cloud Computing and Its Applications workshop, 2008.

[19]

D. Rattu. On-Demand Virtual Machine Allocation for Clouds. Hochschule Baden-W&#252;rttemberg, Karlsruhe, Germany, 2009.

[20]

U. Schwickerath, S. Goasguen, B. Moreira, E. Roche, and R. Wartel. CERN's internal cloud infrastructure -- Status and plans. 2010.

[21]

B. Sotomayor, R. S. Montero, I. M. Llorente, and I. Foster. Virtual infrastructure management in private and hybrid clouds. IEEE Internet Computing, 13(5):14--22, 2009.

Digital Library

[22]

C. A. Waldspurger, T. Hogg, B. A. Huberman, J. O. Kephart, and W. S. Stornetta. Spawn: A Distributed Computational Economy. IEEE Transactions on Software Engineering, 18:103--117, February 1992.

Digital Library

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The KOALA cloud management service: a modern approach for cloud infrastructure management

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cover image ACM Conferences

CloudCP '11: Proceedings of the First International Workshop on Cloud Computing Platforms

April 2011

38 pages

ISBN:9781450307277

DOI:10.1145/1967422

Program Chairs:
Thilo Kielmann
VU University, The Netherlands
,
Guillaume Pierre
VU University, The Netherlands

Copyright © 2011 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 10 April 2011

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April 10, 2011

Salzburg, Austria

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Cited By

Zhao GLiu JZhai YXu HHe H(2023)Alleviating the Impact of Abnormal Events Through Multi-Constrained VM PlacementIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2023.324868134:5(1508-1523)Online publication date: May-2023
https://doi.org/10.1109/TPDS.2023.3248681
Zhai YZhao GXu HZhao YLiu JFan X(2021)Towards Robust Multi-Tenant Clouds Through Multi-Constrained VM Placement2021 IEEE/ACM 29th International Symposium on Quality of Service (IWQOS)10.1109/IWQOS52092.2021.9521344(1-6)Online publication date: 25-Jun-2021
https://doi.org/10.1109/IWQOS52092.2021.9521344
Cercone, F'IEEE N(2015)What's the big deal about big data?Big Data and Information Analytics10.3934/bdia.2016.1.311:1(31-79)Online publication date: Sep-2015
https://doi.org/10.3934/bdia.2016.1.31
Rehman ZHussain OHussain F(2015)User-side cloud service management: State-of-the-art and future directionsJournal of Network and Computer Applications10.1016/j.jnca.2015.05.00755(108-122)Online publication date: Sep-2015
https://doi.org/10.1016/j.jnca.2015.05.007
Develder CDe Leenheer MDhoedt BPickavet MColle DDe Turck FDemeester P(2012)Optical Networks for Grid and Cloud Computing ApplicationsProceedings of the IEEE10.1109/JPROC.2011.2179629100:5(1149-1167)Online publication date: May-2012
https://doi.org/10.1109/JPROC.2011.2179629
Baun CKunze MMauch V(2011)The KOALA Cloud ManagerProceedings of the 2011 IEEE 4th International Conference on Cloud Computing10.1109/CLOUD.2011.64(744-745)Online publication date: 4-Jul-2011
https://dl.acm.org/doi/10.1109/CLOUD.2011.64

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