Comparison between objective and subjective measurements of quality of service over an Optical Wide Area network

2008 ◽  
Vol 19 (3) ◽  
pp. 233-245 ◽  
Author(s):  
Francesco Matera ◽  
Francesca Matteotti ◽  
Paolo Pasquali ◽  
Luca Rea ◽  
Alessandro Tarantino ◽  
...  
Keyword(s):  
Quality Of Service ◽  
Wide Area ◽  
Area Network ◽  
Wide Area Network ◽  
Subjective Measurements

scholarly journals A Survey on LoRaWAN Technology: Recent Trends, Opportunities, Simulation Tools and Future Directions

Electronics ◽  
2022 ◽  
Vol 11 (1) ◽  
pp. 164
Author(s):  
Mukarram A. M. Almuhaya ◽  
Waheb A. Jabbar ◽  
Noorazliza Sulaiman ◽  
Suliman Abdulmalek
Keyword(s):  
Quality Of Service ◽  
Energy Consumption ◽  
Long Range ◽  
Wide Area ◽  
Small Data ◽  
Area Network ◽  
Wide Area Network ◽  
Simulation Tools ◽  
Comparative Review

Low-power wide-area network (LPWAN) technologies play a pivotal role in IoT applications, owing to their capability to meet the key IoT requirements (e.g., long range, low cost, small data volumes, massive device number, and low energy consumption). Between all obtainable LPWAN technologies, long-range wide-area network (LoRaWAN) technology has attracted much interest from both industry and academia due to networking autonomous architecture and an open standard specification. This paper presents a comparative review of five selected driving LPWAN technologies, including NB-IoT, SigFox, Telensa, Ingenu (RPMA), and LoRa/LoRaWAN. The comparison shows that LoRa/LoRaWAN and SigFox surpass other technologies in terms of device lifetime, network capacity, adaptive data rate, and cost. In contrast, NB-IoT technology excels in latency and quality of service. Furthermore, we present a technical overview of LoRa/LoRaWAN technology by considering its main features, opportunities, and open issues. We also compare the most important simulation tools for investigating and analyzing LoRa/LoRaWAN network performance that has been developed recently. Then, we introduce a comparative evaluation of LoRa simulators to highlight their features. Furthermore, we classify the recent efforts to improve LoRa/LoRaWAN performance in terms of energy consumption, pure data extraction rate, network scalability, network coverage, quality of service, and security. Finally, although we focus more on LoRa/LoRaWAN issues and solutions, we introduce guidance and directions for future research on LPWAN technologies.

GALO: A DEPLOYABLE FRAMEWORK FOR PROVIDING BETTER THAN BEST-EFFORT QUALITY OF SERVICE

2006 ◽  
Vol 07 (03) ◽  
pp. 319-351
Author(s):  
RAHEEM BEYAH ◽  
RAGHUPATHY SIVAKUMAR ◽  
JOHN COPELAND
Keyword(s):  
Quality Of Service ◽  
Significant Contribution ◽  
Peer To Peer ◽  
Area Network ◽  
Wide Area Network ◽  
Application Layer ◽  
Best Effort ◽  
Routing Schemes ◽  
Better Than

In this paper we propose a deployable approach to improving QoS by using a generic, extendable, overlay architecture; the Generalized Application Layer Overlay (GALO). The goals of this work are to 1) create an overlay architecture which allows us to sample specific path quality metrics among different paths; 2) utilize the proposed overlay architecture in order to implement our proposed QoS-based routing schemes, Application Layer Switching (ALSW) and Application Layer Striping (ALST). Perhaps the most significant contribution of this research is that we are able to achieve better than best-effort QoS without modifying intermediate nodes (i.e., routers), thus encouraging immediate deployment. Additionally, this research is performed on an actual wide area network (WAN) testbed, comprised of universities across the nation. Also, we assemble this architecture as a peer-to-peer framework, encouraging collaborating individuals with average workstations to improve the QoS of their traffic.

scholarly journals A Semi-Supervised QoS-Aware Classification for Wide Area Networks with Limited Resources

2019 ◽  
Vol 8 (11) ◽  
pp. 970-981
Keyword(s):  
Limited Resource ◽  
Resource Depletion ◽  
Error Rates ◽  
Wide Area ◽  
Area Network ◽  
Traffic Classification ◽  
Wide Area Network ◽  
Network Resource ◽  
Network Administrators

The task of network administrators to identify and determine the type of traffic traversing through the network is very critical to the rapid growth of new traffic each day. As the requirements of networks change over time, the situation of the network not able to meet some requirements is likely to occur. In a wide area network with a limited resource such as the low speed of links, frequent fragmentation of packets leading to extreme packet loss and costs is prominent resulting in the poor quality of service. As a result quantified amount of traffic flows can be classified at a time with limited features lowering the effectiveness of traffic classification. To improve upon the classification in such scenarios, we propose a hybrid semi-supervised clustering that is able to classify packet flows with restricted features and a small amount of packets while maintaining high accuracy in classification. We implement the above scenario in simulation and classify the limited flows obtained with our proposed algorithm. Evaluation results show that our proposed algorithm implemented into a classifier has good accuracy and precision values, with low processing time and error rates. The proposed strategy will enable network administrators during times of network resource depletion or upgrades provide and ensure the best quality of services and identify unwanted or malicious traffic.

scholarly journals Optimasi Rute Untuk Software Defined Networking-Wide Area Network (SDN-WAN) Dengan Openflow Protocol

2018 ◽  
Vol 13 (1) ◽  
pp. 7
Author(s):  
Estu Rizky Huddiniah ◽  
Eristya Maya Safitri ◽  
Satrio Adi Priyambada ◽  
Muhammad Nasrullah ◽  
Nisa Dwi Angresti
Keyword(s):  
Traffic Engineering ◽  
Software Defined Networking ◽  
Wide Area ◽  
Quality Of Services ◽  
Area Network ◽  
Centralized Control ◽  
Wide Area Network

Semakin berkembangnya teknologi saat ini berbanding lurus dengan kebutuhan akan proses mengelola dan monitoring jaringan yang lebih efektif dan efisien. TE (Traffic Engineering) dikembangkan untuk mengoptimalkan arus data dalam jaringan untuk memenuhi tingkat QoS (Quality of Services) dalam penggunaan jaringan. Namun, TE memiliki tantangan dalam hal kompleksitas komunikasi dan algoritma yang dapat meningkatkan kebutuhan akan sumber daya jaringan. SDN (Software Defined Networking) merupakan suatu teknologi jaringan terbaru untuk mengatasi tantangan yang ada pada TE. Dengan pengaturan secara terpusat (centralized control) dan lebih fleksible, SDN secara signifikan dapat memangkas penggunaan sumber daya jaringan komunikasi yang dibutuhkan untuk kebermanfaatan sumber daya jaringan secara keseluruhan. Makalah ini akan mengulas beberapa literatur terkait metode optimasi routing pada jaringan dengan menggunakan teknologi SDN yang berfokus pada SDN-WAN (Software Defined Networking – Wide Area Network).

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