Improving quality of service parameters in wireless asynchronous transfer mode network

Author(s):  
B.K. Gupta ◽  
M. Lal ◽  
S.C. Sharma
Author(s):  
Eko Budi Setiawan ◽  
Ariefiandi Nugraha

QoS network mempunyai peran penting dalam menjamin kualitas suatu layanan data dari provider pada customer. Salah satu tipe jaringan yang biasa digunakan adalah Asynchronus Transfer Mode (ATM). Pendekatan dari QoS dalam mendukung jaringan ATM dapat menggunakan beberapa tipe skema seperti CBR, rt-VBR, ABR, round-roubin dan weighted round robin, sedangkan untuk congestion control maka dilakukan perbandingan antara EFCI dengan ERICA. Penggunaan ERICA berdasarkan simulasi menggunakan OPNET terbukti lebih efektif daripada EFCI dan dengan menggunakan sistem antrian weighted round-robin


2015 ◽  
Vol 14 (6) ◽  
pp. 5809-5813
Author(s):  
Abhishek Prabhakar ◽  
Amod Tiwari ◽  
Vinay Kumar Pathak

Wireless security is the prevention of unauthorized access to computers using wireless networks .The trends in wireless networks over the last few years is same as growth of internet. Wireless networks have reduced the human intervention for accessing data at various sites .It is achieved by replacing wired infrastructure with wireless infrastructure. Some of the key challenges in wireless networks are Signal weakening, movement, increase data rate, minimizing size and cost, security of user and QoS (Quality of service) parameters... The goal of this paper is to minimize challenges that are in way of our understanding of wireless network and wireless network performance.


Author(s):  
Simar Preet Singh ◽  
Rajesh Kumar ◽  
Anju Sharma ◽  
S. Raji Reddy ◽  
Priyanka Vashisht

Background: Fog computing paradigm has recently emerged and gained higher attention in present era of Internet of Things. The growth of large number of devices all around, leads to the situation of flow of packets everywhere on the Internet. To overcome this situation and to provide computations at network edge, fog computing is the need of present time that enhances traffic management and avoids critical situations of jam, congestion etc. Methods: For research purposes, there are many methods to implement the scenarios of fog computing i.e. real-time implementation, implementation using emulators, implementation using simulators etc. The present study aims to describe the various simulation and emulation tools for implementing fog computing scenarios. Results: Review shows that iFogSim is the simulator that most of the researchers use in their research work. Among emulators, EmuFog is being used at higher pace than other available emulators. This might be due to ease of implementation and user-friendly nature of these tools and language these tools are based upon. The use of such tools enhance better research experience and leads to improved quality of service parameters (like bandwidth, network, security etc.). Conclusion: There are many fog computing simulators/emulators based on many different platforms that uses different programming languages. The paper concludes that the two main simulation and emulation tools in the area of fog computing are iFogSim and EmuFog. Accessibility of these simulation/emulation tools enhance better research experience and leads to improved quality of service parameters along with the ease of their usage.


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