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This paper presents a distributed workflow-management server architecture which adopts dynamic resource provisioning mechanisms to deal with the probable performance bottleneck.
In this sense, their solution aims at providing a deadline-based provisioning mechanisms for hybrid clouds, allowing the combination of local resources to the ones obtained from a public cloud service.
The majority of the existing studies concentrate on optimizing the task scheduling or resource provisioning mechanisms, to improve the data processing rate or data transmission rate of the platform separately, without an overall consideration of both the performance factors.
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The proposed Quality of Service (QoS) provisioning mechanism adopts a bandwidth-reservation approach which combines real-time transmission establishment and termination routines.
However, our main focus in this paper is the QoS provisioning mechanism.
Chaisiri et al. [34] proposed a resource provisioning mechanism in cloud computing to offer cloud users two resource provisioning plans, namely, on-demand plan and reservation plan.
Energy efficiency is achieved using a workload-aware, just-right dynamic provisioning mechanism and the ability to power down subsystems of a host system that are not required.
In QoS-Fi, the QoS provisioning mechanism is implemented by using variable length signatures, where the longer length a signature has, the higher a QoS priority it becomes.
The authors studied the users' utilization patterns and introduced a dynamic resource provisioning mechanism to over-allocate capacity in cloud data centers.
Recall that in QoS-Fi, the QoS provisioning mechanism is implemented by using variable length signatures, where the longer length a signature has, the higher a QoS priority it becomes.
The uniqueness of this work is that here we present a provisioning mechanism that can be deployed on top of existing inter-cloud deployment models and architectures already discussed previously.
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