Class-Based Weighted Fair Queuing Scheduling on Dual-Priority Delta Networks

Vasiliadis, D. C.; Rizos, G. E.; Vassilakis, Costas

doi:10.1155/2012/859694

Cited by 8 publications

(6 citation statements)

References 42 publications

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“… CB-WFQ: The smart grid applications have multiclasses traffic applications which make it a good candidate to utilize a scheduling algorithm such as CB-WFQ that is used in multi-class traffic environment. CB-WFQ is used mainly to enhance fairness by giving lower priority queues the [20]. One of the major processes of the CB-WFQ scheme is a weight assignment to each class queue.…”

Section: Scheduling Techniquesmentioning

confidence: 99%

Evaluation of WiMAX Technology in Smart Grid Communications

Al-Omar¹,

Landolsi²,

Al-Ali³

2015

jcm

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This paper proposes a design of IEEE 802.16Worldwide Interoperability for Microwave Access (WiMAX) network to serve as a wireless communication platform for the smart grid. The grid traffic is classified into five priority classes. The traffic then is scheduled using three scheduling algorithms namely; Class-Based Weighted Fair (CB-WFQ), Class-Based Deficit Weighted Round-Robin (CB-DWRR) and class-based strict priority (CB-SPQ) scheduling. Simulation results show that no more than 450 smart grid devices should be used to satisfy the delay requirement of class 1 and class 2. The results also demonstrate that the CB-SPQ scheduling algorithm provides the best delay performance. As for class 3 applications, results show that in order to satisfy the latency requirements, the maximum number of smart grid devices that can be placed in a cell should not be more than 250. For this application class CB-WFQ outperforms the other scheduling algorithms. For class 4 applications, a cell can accommodate up to 450 smart grid devices, and CB-WFQ scheduling algorithm yields the smallest latency. data, corporate data, transmissions and distribution automations, distribution management, on video conferencing, mobile voice and data, market and outsource service provides.The communication network allows the integration of all applicable components in the smart grid [2]. Furthermore, it allows appropriate communication scenarios among various stakeholders to better operate and manage the multiple components that build the smart grid at large. Simulation models are developed to evaluate the network performance based on pre-defined QoS requirements in order to explore the possible solutions for the grid.The rest of the paper is organized as follows: Section II reviews a survey of the recent existing research activities in smart grid communications. The proposed smart grid applications traffic classification and the WiMAX communication network model will be presented in Section III. The proposed simulation algorithm is detailed in Section IV. Simulation results analysis and discussion are presented in Section V followed by the conclusion.

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Section: Scheduling Techniquesmentioning

confidence: 99%

Evaluation of WiMAX Technology in Smart Grid Communications

Al-Omar¹,

Landolsi²,

Al-Ali³

2015

jcm

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“…The factors such as delay and dynamic network behaviors such as stability are not considered in modeling the utility functions. Vasiliadis et al (2012) have introduced CBWFQ scheduling algorithm for a single-buffered, dual priority Multistage Interconnection Network (MIN). Their priority scheduling scheme has combined both class based and weighted fair queuing packet scheduling algorithms.…”

Section: Related Workmentioning

confidence: 99%

Stateless Aggregate Fair Marking Scheduler for Differentiated Service Networks

Sivasubramaniam¹

2013

Journal of Computer Science

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In diffserv networks, as the traffic flows vary constantly, it is very difficult to maintain the per-flow state. The computation of rate information of the traffic flow also becomes complex. In this study, we propose a Stateless Aggregate Fair Marking (SAMQ) with Multiple Queue Priority Scheduler for Differentiated Service (DiffServ) networks. Initially, priority scheduler is applied to the flows entering the ingress edge router. If it is real time flow like Voice over IP (VoIP) or Video, then the packets are given higher priority else lower priority. In core router, for higher priority flows the Multiple Queue Fair Queuing (MQFQ) is applied that allows a flow to utilize multiple queues to transmit the packets. In case of lower priority, Stateless Aggregate Fair Marking technique is utilized. This technique applies Core Stateless Fair Queuing (CSFQ) technique for maintaining the rate information of packet flow and distributes the token to each incoming packet without maintaining the per-flow state. By simulation results, we show that this technique improves the throughput of non-real time flows.

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“…Unfortunately, integrated solution entails a few drawbacks. A high-quality scheduler for reliable links (Bennet and Zhang, 1997;Valente, 2007;Shreedhar and Varghese, 1995;Vasiliadis et al, 2012;Ramabhadran and Pasquale, 2006;Yuan and Duan, 2009;van Leeuwaarden et al, 2006) cannot be used and converted into a cross-layer scheduler, not without modifying it. Even after the necessary modifications are done, the guarantees provided by the scheduler are likely to change and would therefore need to be recomputed.…”

Section: Introductionmentioning

confidence: 99%

Achieving a High Throughput and a Low Latency through a Modular Packet Scheduler

Casoni

Grazia

Valente

2017

IJCNDS

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Providing QoS guarantees in a wireless environment is a challenging task because of the idiosyncrasies of the wireless media. State-of-the-art solutions for QoS provisioning over wireless links are based on cross-layering packet schedulers that deal both with the QoS guarantees and the wireless link issues. Unfortunately, such an approach is not flexible and requires technology-dependent solutions. To address these issues, we present a modular architecture which permits the use of existing high-performance packet schedulers for wired links over generic wireless technologies, as they are, and at the same time allows the flexibility to adapt to different channel conditions. We validate the effectiveness of our modular solution through a formal analysis. We also present high-throughput twin fair scheduler (HFS), a novel packet scheduler based on the modular architecture. HFS has constant execution time, accurate fairness, and low latency.

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Class-Based Weighted Fair Queuing Scheduling on Dual-Priority Delta Networks

Cited by 8 publications

References 42 publications

Evaluation of WiMAX Technology in Smart Grid Communications

Evaluation of WiMAX Technology in Smart Grid Communications

Stateless Aggregate Fair Marking Scheduler for Differentiated Service Networks

Achieving a High Throughput and a Low Latency through a Modular Packet Scheduler

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