Article

InterCloud: utility-oriented federation of cloud computing environments for scaling of application services

Authors:

Rajkumar Buyya,

Rodrigo N. CalheirosAuthors Info & Claims

ICA3PP'10: Proceedings of the 10th international conference on Algorithms and Architectures for Parallel Processing - Volume Part I

Pages 13 - 31

https://doi.org/10.1007/978-3-642-13119-6_2

Published: 21 May 2010 Publication History

Abstract

Cloud computing providers have setup several data centers at different geographical locations over the Internet in order to optimally serve needs of their customers around the world However, existing systems do not support mechanisms and policies for dynamically coordinating load distribution among different Cloud-based data centers in order to determine optimal location for hosting application services to achieve reasonable QoS levels Further, the Cloud computing providers are unable to predict geographic distribution of users consuming their services, hence the load coordination must happen automatically, and distribution of services must change in response to changes in the load To counter this problem, we advocate creation of federated Cloud computing environment (InterCloud) that facilitates just-in-time, opportunistic, and scalable provisioning of application services, consistently achieving QoS targets under variable workload, resource and network conditions The overall goal is to create a computing environment that supports dynamic expansion or contraction of capabilities (VMs, services, storage, and database) for handling sudden variations in service demands.

This paper presents vision, challenges, and architectural elements of InterCloud for utility-oriented federation of Cloud computing environments The proposed InterCloud environment supports scaling of applications across multiple vendor clouds We have validated our approach by conducting a set of rigorous performance evaluation study using the CloudSim toolkit The results demonstrate that federated Cloud computing model has immense potential as it offers significant performance gains as regards to response time and cost saving under dynamic workload scenarios.

References

[1]

Kleinrock, L.: A Vision for the Internet ST Journal of Research 2(1), 4-5 (2005)

[2]

Armbrust, M., Fox, A., Griffith, R., Joseph, A., Katz, R., Konwinski, A., Lee, G., Patterson, D., Rabkin, A., Stoica, I., Zaharia, M.: Above the Clouds: A Berkeley View of Cloud Computing University of California at Berkley, USA Technical Rep UCB/EECS- 2009-28 (2009)

[3]

Buyya, R., Yeo, C., Venugopal, S., Broberg, J., Brandic, I.: Cloud Computing and Emerging IT Platforms: Vision, Hype, and Reality for Delivering Computing as the 5th Utility Future Generation Computer Systems 25(6), 599-616 (2009)

Digital Library

[4]

London, S.: Inside Track: The high-tech rebels Financial Times (September 6, 2002)

[5]

The Reservoir Seed Team Reservoir - An ICT Infrastructure for Reliable and Effective Delivery of Services as Utilities IBM Research Report, H-0262 (Febuary 2008)

[6]

Buyya, R., Abramson, D., Giddy, J., Stockinger, H.: Economic Models for Resource Management and Scheduling in Grid Computing Concurrency and Computation: Practice and Experience 14(13-15), 1507-1542 (2002)

[7]

Weiss, A.: Computing in the Clouds NetWorker 11(4), 16-25 (2007)

Digital Library

[8]

VMware: Migrate Virtual Machines with Zero Downtime, http://www.vmware.com/

[9]

Barham, P., et al.: Xen and the Art of Virtualization In: Proceedings of the 19th ACM Symposium on Operating Systems Principles ACM Press, New York (2003)

Digital Library

[10]

Buyya, R., Abramson, D., Venugopal, S.: The Grid Economy Special Issue on Grid Computing In: Parashar, M., Lee, C (eds.) Proceedings of the IEEE, vol 93(3), pp 698- 714 IEEE Press, Los Alamitos (2005)

[11]

Yeo, C., Buyya, R.: Managing Risk of Inaccurate Runtime Estimates for Deadline Constrained Job Admission Control in Clusters In: Proc of the 35th Intl Conference on Parallel Processing, Columbus, Ohio, USA (August 2006)

Digital Library

[12]

Yeo, C., Buyya, R.: Integrated Risk Analysis for a Commercial Computing Service In: Proc of the 21st IEEE International Parallel and Distributed Processing Symposium, Long Beach, California, USA (March 2007)

[13]

Sulistio, A., Kim, K., Buyya, R.: Managing Cancellations and No-shows of Reservations with Overbooking to Increase Resource Revenue In: Proceedings of the 8th IEEE International Symposium on Cluster Computing and the Grid, Lyon, France (May 2008)

Digital Library

[14]

Chu, X., Buyya, R.: Service Oriented Sensor Web In: Mahalik, N.P (ed.) Sensor Network and Configuration: Fundamentals, Standards, Platforms, and Applications, January 2007 Springer, Berlin (2007)

[15]

Amazon Elastic Compute Cloud (EC2), http://www.amazon.com/ec2/ (March 17, 2010)

[16]

Google App Engine, http://appengine.google.com (March 17, 2010)

[17]

Windows Azure Platform, http://www.microsoft.com/azure/ (March 17, 2010)

[18]

Spring.NET, http://www.springframework.net (March 17, 2010)

[19]

Chappell, D.: Introducing the Azure Services Platform White Paper, http://www.microsoft.com/azure (January 2009)

[20]

Venugopal, S., Chu, X., Buyya, R.: A Negotiation Mechanism for Advance Resource Reservation using the Alternate Offers Protocol In: Proceedings of the 16th International Workshop on Quality of Service (IWQoS 2008), Twente, The Netherlands (June 2008)

[21]

Salesforce.com, Application Development with Force.com's Cloud Computing Platform (2009), http://www.salesforce.com/platform/ (Accessed December 16, 2009)

[22]

Nurmi, D., Wolski, R., Grzegorczyk, C., Obertelli, G., Soman, S., Youseff, L., Zagorodnov, D.: The Eucalyptus Open-Source Cloud-Computing System In: Proceedings of the 9th IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGrid 2009), Shanghai, China, May 18-May 21 (2010)

Digital Library

[23]

GoGrid Cloud Hosting, F5 Load Balancer GoGrid Wiki (2009), http://wiki.gogrid.com/wiki/index.php/F5_Load_Balancer (Accessed September 21, 2009)

[24]

Amazon CloudWatch Service, http://aws.amazon.com/cloudwatch/

[25]

Amazon Load Balancer Service, http://aws.amazon.com/elasticloadbalancing/

[26]

Lua, K., Crowcroft, J., Pias, M., Sharma, R., Lim, S.: A Survey and Comparison of Peerto-Peer Overlay Network Schemes In: Communications Surveys and Tutorials, Washington, DC, USA, vol 7(2) (2005)

Digital Library

[27]

Ranjan, R.: Coordinated Resource Provisioning in Federated Grids Ph.D Thesis, The University of Melbourne, Australia (March 2009)

[28]

Ranjan, R., Liu, A.: Autonomic Cloud Services Aggregation CRC Smart Services Report (July 15, 2009)

[29]

Buyya, R., Ranjan, R., Calheiros, R.N.: Modeling and Simulation of Scalable Cloud Computing Environments and the CloudSim Toolkit: Challenges and Opportunities In: Proceedings of the 7th High Performance Computing and Simulation Conference (HPCS 2009), Leipzig, Germany, June 21-24 IEEE Press, New York (2009)

[30]

Quiroz, A., Kim, H., Parashar, M., Gnanasambandam, N., Sharma, N.: Towards Autonomic Workload Provisioning for Enterprise Grids and Clouds In: Proceedings of the 10th IEEE International Conference on Grid Computing (Grid 2009), Banff, Alberta, Canada, October 13-15 (2009)

[31]

Feitelson, D.G.: Workload Modelling for Computer Systems Performance Evaluation (in preparation), http://www.cs.huji.ac.il/~feit/wlmod/ (Accessed March 19, 2010)

[32]

Vecchiola, C., Chu, X., Buyya, R.: Aneka: A Software Platform for .NET-based Cloud Computing In: Gentzsch, W., Grandinetti, L., Joubert, G (eds.) High Speed and Large Scale Scientific Computing, pp 267-295 IOS Press, Amsterdam (2009), ISBN: 978-1- 60750-073-5

Cited By

Yadav MMishra A(2023)An enhanced ordinal optimization with lower scheduling overhead based novel approach for task scheduling in cloud computing environmentJournal of Cloud Computing: Advances, Systems and Applications10.1186/s13677-023-00392-z12:1Online publication date: 17-Jan-2023
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Wu SChen JWang Y(2023)Reliable Placement of Erasure-coded Data in Distributed Cloud Data Centers under Disaster Risks: A Multi-Objective Optimization ApproachProceedings of the 2023 5th International Conference on Internet of Things, Automation and Artificial Intelligence10.1145/3653081.3653173(549-557)Online publication date: 24-Nov-2023
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InterCloud: utility-oriented federation of cloud computing environments for scaling of application services
1. Computer systems organization
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2. Software and its engineering
  1. Software organization and properties
    1. Software system structures

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Information & Contributors

Information

Published In

cover image Guide Proceedings

ICA3PP'10: Proceedings of the 10th international conference on Algorithms and Architectures for Parallel Processing - Volume Part I

May 2010

570 pages

ISBN:3642131182

Editors:
Ching-Hsien Hsu
Department of Computer Science and Information Engineering, Chung Hua University, Hsinchu, Taiwan, China
,
Laurence T. Yang
Department of Computer Science, St Francis Xavier University, Antigonish, NS, Canada
,
Jong Hyuk Park
Department of Computer Science ad Engineering, Seoul National University of Technology, 172 Gongreund 2-dong, Nowon-gou, Seoul, NS, Korea
,
Sang-Soo Yeo
Division of Computer Engineering, Mokwon University, 172 Gongreund 2-dong, Nowon-gou, Daejeon, NS, Korea

Publisher

Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 21 May 2010

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Cited By

Yadav MMishra A(2023)An enhanced ordinal optimization with lower scheduling overhead based novel approach for task scheduling in cloud computing environmentJournal of Cloud Computing: Advances, Systems and Applications10.1186/s13677-023-00392-z12:1Online publication date: 17-Jan-2023
https://dl.acm.org/doi/10.1186/s13677-023-00392-z
Wu SChen JWang Y(2023)Reliable Placement of Erasure-coded Data in Distributed Cloud Data Centers under Disaster Risks: A Multi-Objective Optimization ApproachProceedings of the 2023 5th International Conference on Internet of Things, Automation and Artificial Intelligence10.1145/3653081.3653173(549-557)Online publication date: 24-Nov-2023
https://dl.acm.org/doi/10.1145/3653081.3653173
Berenberg ACalder B(2022)Deployment Archetypes for Cloud ApplicationsACM Computing Surveys10.1145/349833655:3(1-48)Online publication date: 3-Feb-2022
https://dl.acm.org/doi/10.1145/3498336
Ouchaou LNacer HLabba C(2022)Towards a distributed SaaS management system in a multi-cloud environmentCluster Computing10.1007/s10586-022-03619-x25:6(4051-4071)Online publication date: 1-Dec-2022
https://dl.acm.org/doi/10.1007/s10586-022-03619-x
Ghenai ANouioua C(2020)Federation-Level Agreement and Integrity-Based Managed Cloud Federation ArchitectureJournal of Information Technology Research10.4018/JITR.202010010713:4(91-117)Online publication date: 1-Oct-2020
https://dl.acm.org/doi/10.4018/JITR.2020100107
Benjula Anbu Malar MPrabhu J(2020)A distributed collaborative trust service recommender system for secure cloud computingTransactions on Emerging Telecommunications Technologies10.1002/ett.399131:12Online publication date: 22-Dec-2020
https://dl.acm.org/doi/10.1002/ett.3991
Borkowski MHochreiner CSchulte S(2019)Minimizing cost by reducing scaling operations in distributed stream processingProceedings of the VLDB Endowment10.14778/3317315.331731612:7(724-737)Online publication date: 1-Mar-2019
https://dl.acm.org/doi/10.14778/3317315.3317316
Wang YWen JWang XTao BZhou W(2019)A Cloud Service Trust Evaluation Model Based on Combining Weights and Gray Correlation AnalysisSecurity and Communication Networks10.1155/2019/24370622019Online publication date: 1-Jan-2019
https://dl.acm.org/doi/10.1155/2019/2437062
Gürsel ETarek A(2019)Analysis Of Interoperability In Cloud ComputingProceedings of the 2019 5th International Conference on Computer and Technology Applications10.1145/3323933.3324089(189-192)Online publication date: 16-Apr-2019
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Ahmed URaza IHussain S(2019)Trust Evaluation in Cross-Cloud FederationACM Computing Surveys10.1145/329249952:1(1-37)Online publication date: 13-Feb-2019
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