scholarly journals An Effective Approach to Contention Based Bandwidth Request Mechanism in WiMAX Networks

2012 ◽  
Vol 3 (1) ◽  
pp. 106-112
Author(s):  
Sonia Panchal ◽  
Satinder Pal
Keyword(s):  
Quality Of Service ◽  
Scheduling Algorithm ◽  
Scheduling Algorithms ◽  
Research Area ◽  
Mobile Wimax ◽  
Service Provisioning ◽  
Bandwidth Request ◽  
Wimax Networks ◽  
Contention Period

In this paper the IEEE 802.16 standard based Mobile WiMAX (Worldwide Interoperability for Microwave Access) system is investigated for the purpose of Quality of Service provisioning. As a potential solution, scheduling algorithms have been taken into major concern. Within the pool of scheduling algorithms and for the purpose Contention based bandwidth request resolution, the Modified Contention Based BW Resolution algorithm (MCB-BWR-Scheme) is proposed. Supported by the fact that the standard does not emphasize a specific scheduling algorithm for contention period based services, therefore, the choice of the scheduling algorithm for the WiMAX systems is very important. There are several scheduling algorithms for WiMAX in the literature, however, studies show that an efficient, fair and robust scheduling algorithm for WiMAX systems is still an open research area and hence a well thought out algorithm will be of great contribution to the area under investigation. Results from the OPNET Modeler simulation program show that the adjusted algorithm works well with delay and throughput constraints. It is also in consistent with the quality of service demands of the video and voice traffic.

scholarly journals Hybrid scheduling algorithms in cloud computing: a review

2022 ◽  
Vol 12 (1) ◽  
pp. 880
Author(s):  
Neeraj Arora ◽  
Rohitash Kumar Banyal
Keyword(s):  
Cloud Computing ◽  
Quality Of Service ◽  
Resource Sharing ◽  
Scheduling Algorithm ◽  
Scheduling Algorithms ◽  
Hybrid Algorithms ◽  
Hybrid Scheduling ◽  
Processing Resource ◽  
Quality Of Service Parameters

<p><span>Cloud computing is one of the emerging fields in computer science due to its several advancements like on-demand processing, resource sharing, and pay per use. There are several cloud computing issues like security, quality of service (QoS) management, data center energy consumption, and scaling. Scheduling is one of the several challenging problems in cloud computing, where several tasks need to be assigned to resources to optimize the quality of service parameters. Scheduling is a well-known NP-hard problem in cloud computing. This will require a suitable scheduling algorithm. Several heuristics and meta-heuristics algorithms were proposed for scheduling the user's task to the resources available in cloud computing in an optimal way. Hybrid scheduling algorithms have become popular in cloud computing. In this paper, we reviewed the hybrid algorithms, which are the combinations of two or more algorithms, used for scheduling in cloud computing. The basic idea behind the hybridization of the algorithm is to take useful features of the used algorithms. This article also classifies the hybrid algorithms and analyzes their objectives, quality of service (QoS) parameters, and future directions for hybrid scheduling algorithms.</span></p>

E-CLEMA: A cross-layer design for improved quality of service in mobile WiMAX networks

2009 ◽  
Vol 9 (9) ◽  
pp. 1274-1286 ◽  
Author(s):  
Dionysia Triantafyllopoulou ◽  
Nikos Passas ◽  
Lazaros Merakos ◽  
Nikos C. Sagias ◽  
P. Takis Mathiopoulos
Keyword(s):  
Quality Of Service ◽  
Mobile Wimax ◽  
Cross Layer ◽  
Cross Layer Design ◽  
Wimax Networks

scholarly journals On the Design of Efficient Hierarchic Architecture for Software Defined Vehicular Networks

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1400
Author(s):  
Muhammad Adnan ◽  
Jawaid Iqbal ◽  
Abdul Waheed ◽  
Noor Ul Amin ◽  
Mahdi Zareei ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Quality Of Service ◽  
Traffic Management ◽  
Vehicular Networks ◽  
Scheduling Algorithm ◽  
Main Research ◽  
First Come First Serve ◽  
Computing Framework ◽  
Simulation Results

Modern vehicles are equipped with various sensors, onboard units, and devices such as Application Unit (AU) that support routing and communication. In VANETs, traffic management and Quality of Service (QoS) are the main research dimensions to be considered while designing VANETs architectures. To cope with the issues of QoS faced by the VANETs, we design an efficient SDN-based architecture where we focus on the QoS of VANETs. In this paper, QoS is achieved by a priority-based scheduling algorithm in which we prioritize traffic flow messages in the safety queue and non-safety queue. In the safety queue, the messages are prioritized based on deadline and size using the New Deadline and Size of data method (NDS) with constrained location and deadline. In contrast, the non-safety queue is prioritized based on First Come First Serve (FCFS) method. For the simulation of our proposed scheduling algorithm, we use a well-known cloud computing framework CloudSim toolkit. The simulation results of safety messages show better performance than non-safety messages in terms of execution time.

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