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Open AccessJournal ArticleDOI

A Study on Application-Aware Scheduling in Wireless Networks

TLDR
A new network model aiming at improving user experience by pushing the scheduling problem to the task layer is proposed and results indicate that the scheduling policy can significantly improve QoE.
Abstract
The past decade witnessed the dramatic evolution from Quality of Service (QoS) to Quality of Experience (QoE) in the design of wireless networks, especially on the aspect of link scheduling. In many applications, end users are concerned more about transmission quality of an individual task rather than the quality of a link, where a task may refer to a piece of music, video, etc. and may include many packets. This paper proposes a new network model aiming at improving user experience by pushing the scheduling problem to the task layer. A novel QoE requirement is designed to generalize the QoS requirements of a task, which is the ratio requirement. Following this design, a corresponding scheduling policy is proposed to capture it for each task and then reach an application-aware transmission allocation. We theoretically analyze the performance of the scheduling policy, and discuss the design of an optimal solution and the impact of the QoE requirements. Finally, the simulation results indicate that our scheduling policy can significantly improve QoE.

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Citations
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A New Deep-Q-Learning-Based Transmission Scheduling Mechanism for the Cognitive Internet of Things

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Resource Allocation Strategy in Fog Computing Based on Priced Timed Petri Nets

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Latent-Data Privacy Preserving With Customized Data Utility for Social Network Data

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References
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Journal ArticleDOI

Stability properties of constrained queueing systems and scheduling policies for maximum throughput in multihop radio networks

TL;DR: The stability of a queueing network with interdependent servers is considered and a policy is obtained which is optimal in the sense that its Stability Region is a superset of the stability region of every other scheduling policy, and this stability region is characterized.
Proceedings ArticleDOI

A buffer-based approach to rate adaptation: evidence from a large video streaming service

TL;DR: This work suggests an alternative approach: rather than presuming that capacity estimation is required, it is perhaps better to begin by using only the buffer, and then ask whencapacity estimation is needed, which allows us to reduce the rebuffer rate by 10-20% compared to Netflix's then-default ABR algorithm, while delivering a similar average video rate.
Proceedings ArticleDOI

Stability properties of constrained queueing systems and scheduling policies for maximum throughput in multihop radio networks

TL;DR: The stability of a queuing network with interdependent servers is considered, and the problem of scheduling server activation under the constraints imposed by the dependency among them is studied.
Journal ArticleDOI

A generic quantitative relationship between quality of experience and quality of service

TL;DR: The IQX hypothesis is a strong candidate to be taken into account when deriving relationships between QoE and QoS parameters and is shown to outperform previously published logarithmic functions.
Proceedings ArticleDOI

Omega: flexible, scalable schedulers for large compute clusters

TL;DR: This work presents a novel approach to address increasing scale and the need for rapid response to changing requirements using parallelism, shared state, and lock-free optimistic concurrency control to address monolithic cluster scheduler architectures.
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