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In this section, the proposed resource provisioning method is compared with existing resource provisioning algorithms (i.e., SMICloud [18], OCRP [13], Tordsson et al. [6], Breitgand et al. [9] and Wright et al. [11]).
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Because of the cross-tier dependencies of multi-tier cloud services, the traditional tailor-made resource provisioning methods for single-tier applications can't be adopted or extended directly.
Whilst cloud resources are generally billed by the hour, the OSCA system permits a more flexible method of resource provisioning and billing.
To obtain a comparison with an on-demand only provisioning method, the simulation processed exactly the same requests for resources as for the combined-pricing method.
Experimental results demonstrate that our workload prediction method is accurate, and our provisioning strategy is able to improve the accuracy of resource provisioning, reduce the allocated resources and SLAs violations.
Therefore, we propose a dynamic resource provisioning strategy for multi-tier cloud services that employs (i) a user preference and service time mix-aware workload prediction method to be used as a foundation of resource provisioning, and (ii) a dynamic resource provisioning strategy based on the queuing theory to determine how many resources to be provisioned to each tier.
Knowledge-Based Resource Provisioning.
For [108] resource management in cloud comprises three functions: resource provisioning, resource scheduling, and resource monitoring.
Inadequate resource provisioning and investments in infrastructure V28.
Decentralized methods are considered in [107], which proposes a self-organizing approach to provide robust and scalable solutions for service deployment, resource provisioning, and load balancing in a cloud infrastructure.
The coarse-grained scaling with fixed-size VMs often leads to resource provisioning overhead resulting in the over-provisioning.
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