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- Lakew, Ewnetu Bayuh, et al.
(författare)
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Management of distributed resource allocations in multi-cluster environments
- 2012
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Ingår i: Performance Computing and Communications Conference (IPCCC) 2012, 31st International, IEEE. - New York, USA : IEEE. - 9781467348812 ; , s. 275-284
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- We present a fully distributed solution for managing resource allocation for services running across multiple clusters in a large-scale cloud computing environment. Our solution allows individual services running across clusters to compete dynamically for allocations based on their rate of consumption while maintaining the global cloud level allocation limits. The solution monitors resource consumption by services that are spread over a number of clusters. Global polls are triggered only when the allocated balance in a cluster decreases below a threshold and allocations are reassigned in a manner that avoids further immediate global polls. Our solution achieves scalability by minimizing global message exchanges, increases performance by distributing requests, and improves availability by avoiding a single point of failure. We perform a range of simulations to verify the accuracy of our approach, to validate our theoretical results, and to evaluate against competing approaches.
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| 2. |
- Xu, Lei, et al.
(författare)
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A Scalable Accounting Solution for Prepaid Services in Cloud Systems
- 2012
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Ingår i: Proceedings of the 2012 IEEE Ninth International Conference on Services Computing. - 9781467330497 ; , s. 81-89
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Konferensbidrag (refereegranskat)abstract
- Prepaid charging, an essential option for the accounting of cloud services, provides effective financial control for both service providers and customers. However, it has to be supported by real-time credit checking and cost calculation. These real-time actions consume resources of the providers' network and impose high overhead. To tackle this issue, we present a scalable accounting solution in which an accounting component is hosted in every cluster constituting a cloud system. Each of our accounting component supervises service consumptions based on a calculated interval of a service bundle that is composed of all services hosted in a cluster and consumed by one customer simultaneously. Credit will be re-allocated when a customer's credit in one cluster is not enough to compensate further usage, and the allocation is performed based on service consumptions. This work is intended to reduce the cost of prepaid services and to ensure service provision is not hampered by the charging part. Additionally, we perform theoretical and experimental analyses that indicate this work can provide an inexpensive accounting solution for the long-lived services in storage clouds.
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