Sotiriadis, Stelios and Bessis, N. and Kuonen, P. and Antonopoulos, N. (2013) The Inter-Cloud Meta-Scheduling (ICMS) framework. In: UNSPECIFIED (ed.) 2013 IEEE 27th International Conference on Advanced Information Networking and Applications (AINA). AINA '13. Washington, D.C., US: IEEE, pp. 64-73. ISBN 9781467355506.
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Abstract
This work covers the inter-cloud meta-scheduling system that encompasses the essential components of the interoperable cloud setting for wide service dissemination. The study herein illustrates a set of distributed and decentralized operations by highlighting meta-computing characteristics. This is achieved by using meta-brokers that determine a middle-standing component for orchestrating the decision making process in order to select the most appropriate datacenter resource among collaborated clouds. The selection is based on heuristic performance criteria (e.g. the service execution time, latency, energy efficiency etc.). Our solution is more advanced when compared to conventional centralized schemes, as it offers robust real-time scalable, elastic and flexible service scheduling in a fully decentralized and dynamic manner. Similarly, issues related with bottleneck on multiple service requests, heterogeneity, information exposition and consideration of variation of workloads are of prime focus. In view of that, the whole process is based upon random service requests from users that are clients of a sub-cloud of an inter-cloud datacenter and access is done via a meta-broker. The inter-cloud facility distributes the request for service by enclosing each personalized service into a host virtual machine. The study presents a detailed discussion of the algorithmic model for demonstrating the whole service dissemination, allocation, execution and monitoring process along with the preliminary implementation and configuration on a proposed SimIC simulation framework.
Metadata
| Item Type: | Book Section |
|---|---|
| Keyword(s) / Subject(s): | Inter-cloud, service meta-scheduling, cloud service distribution, Meta-brokers, SimIC, cloud metrics |
| School: | Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences |
| Research Centres and Institutes: | Birkbeck Knowledge Lab |
| Depositing User: | Stelios Sotiriadis |
| Date Deposited: | 27 Jun 2018 14:41 |
| Last Modified: | 09 Aug 2023 12:43 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/21832 |
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