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The implementation of self-backhauling in these two-tier networks presents a number of strategic options for RAN resource allocation (time resources, frequency resources, etc).
Caniff et al. presented an online resource provisioning algorithm, Fastrack, which exploits workload burstiness to guide dynamic resource allocation in multi-tier systems [17].
The two-tier resource allocation framework can provide fine-grained and predictable service differentiation on cluster-based servers.
In the collaborative resource allocation scheme [13], cross-tier interference is approximated as additive white Gaussian noise (AWGN).
Meanwhile, this paper proposes a unique QoS model to capture multiple important objectives and a new method to optimize resource allocation across multiple competing tiers, which has not been studied in the related work and can be applied to manage other multi-tier applications with similar characteristics.
This paper investigates two major design concerns in two tier networks: resource allocation and femtocell access.
This is because the workloads considered in the two experiments have the same bottleneck tier, i.e., web tier, in all resource allocation intervals at all decisions stages.
RAP-IE considers only the bottleneck tier of each application in all T resource allocation intervals rather than considering all tiers as per the naive approach.
This paper designs a resource allocation scheduler for such multi-tier autonomic environments so as to maximize the profits associated with multiple class SLAs.
Ardagna et al. proposed a runtime resource allocation scheduler that assigns multi-tier applications to physical resources at fine timescales to satisfy cost and performance objectives [26, 27].
Furthermore, simple macrocell link protection and power optimization schemes were developed for the effective resource allocation in spectrum-sharing two-tier networks [14].
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