Exploring inter-cloud load balancing by utilizing historical service submission records

International Journal of Distributed Systems and Technologies

Volumn 3, Issue 3, 2012, Pages 72-81

  Sotiriadis, Stelios ^a   Bessis, Nik ^a   Antonopoulos, Nick ^a  

^a UNIVERSITY OF DERBY   (United Kingdom)

Author keywords

Cloud Computing; Cloud Load Balancing; Cloud Scheduling; Historical Records on Job Delegations; Inter Cloud

Indexed keywords

CLOUD SCHEDULING; COMPUTATIONAL POWER; CURRENT CAPABILITY; HISTORICAL RECORDS; INTER CLOUDS; RESOURCE PROVISIONS; SERVICE LEVEL AGREEMENTS; SOFTWARE LICENSING;

CLOUD COMPUTING;

PARALLEL ARCHITECTURES;

EID: 84880518532     PISSN: 19473532     EISSN: 19473540     Source Type: Journal    
DOI: 10.4018/jdst.2012070106     Document Type: Article

References (11)

1. Bessis, N., & Sotiriadis, S. Cristea, V., & Pop, F. (in press-a, March 26-29). An architectural strategy for meta-scheduling in Inter Cloud. In Proceedings of 1st International Workshop on Inter Cloud and Collective Intelligence in conjunction with the 26th IEEE International Conference on Advanced Information Networking and Applications, Fukuoka, Japan.
2. Bessis, N., Sotiriadis, S., Cristea V., & Pop, F. (in press-b). Meta-scheduling issues in interoperable HPCs, grids and clouds. International Journal of Web and Grid Services, 8(2).
3. Buyya, R., Ranjan, R., & Calheiros, R. N. (2010). Inter Cloud: Utility-oriented federation of cloud computing environments for scaling of application services. In C.-H. Hsu, L. T. Yang, J. H. Park, & S.- S. Yeo (Eds.), Proceedings of the 10th International Conference on Algorithms and Architectures for Parallel Processing (LNCS 6081, pp. 13-31).
4. Calheiros, R. N., Ranjan, R., Beloglazov, A., De Rose, C. A. F., & Buyya, R. (2011). Cloud Sim: A toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms. Software, Practice & Experience, 41(1), 23-50. doi:10.1002/spe.995
5. Carolan, J., & Gaede, S. (2011). Introduction to cloud computing architecture (1st ed.). Santa Clara, CA: Sun Microsystems.
6. Global Inter-Cloud Technology Forum (GICTF). (2010). Use cases and functional requirements for inter-cloud computing. Retrieved February 4, 2012, from http://www.gictf.jp/doc/GICTF Whitepaper20100809.pdf
7. Melbourne Clouds Lab. (n.d.). Cloudsim: A framework for modeling and simulation of cloud computing infrastructures and services. Retrieved February 4, 2012, from http://www.cloudbus.org/cloudsim/
8. Sotiriadis, S., Bessis, N., & Antonopoulos, N. (2011). Towards Inter Cloud schedulers: A survey of meta-scheduling approaches. In Proceedings of the 6th International Conference on P2P, Parallel, Grid, cloud and Internet Computing (pp. 59-66).
9. Sotiriadis, S., Bessis, N., & Antonopoulos, N. (2012). Decentralized meta-brokers for inter-cloud: Modeling brokering coordinators for interoperable resource management. Manuscript under review, Proceedings of the 8th International Conference on Natural Computation.
10. Sotiriadis, S., Bessis, N., & Antonopoulos, N. (in press). From meta-computing to interoperable infrastructures: A literature review of schedulers and simulators. In Proceedings of the Advanced Information Networking and Applications, Fukuoka, Japan.
11. Xhafa, F., & Abraham, A. (2010). Computational models and heuristic methods for grid scheduling problems. Future Generation Computer Systems, 26(4), 608-621. doi:10.1016/j.future.2009.11.005