Adaptive QoS parameters approach to modeling Internet performance

2003 ◽  
Vol 13 (1) ◽  
pp. 69-82 ◽  
Author(s):  
Shin-Jer Yang ◽  
Hung-Cheng Chou
Keyword(s):  
Qos Parameters ◽  
Internet Performance ◽  
Adaptive Qos

Adaptive QoS Class Allocation Schemes in Multi-Domain Path-Based Networks

2009 ◽  
Vol E92-B (3) ◽  
pp. 898-908 ◽  
Author(s):  
Nagao OGINO ◽  
Hajime NAKAMURA
Keyword(s):  
Adaptive Qos

Entropy-based adaptive QoS routing for wireless sensor networks

2011 ◽  
Vol 31 (2) ◽  
pp. 298-300
Author(s):  
Wei-ren SHI ◽  
Ming-meng YAN ◽  
He HUANG
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Qos Routing ◽  
Wireless Sensor ◽  
Adaptive Qos

Comparison of QoS Performance Over WLAN, VoIP4 and VoIP6

2015 ◽  
Vol 2 (11) ◽  
pp. 42
Author(s):  
Esra Musbah Mohammed Musbah ◽  
Khalid Hamed Bilal ◽  
Amin Babiker A. Nabi Mustafa
Keyword(s):  
Performance Analysis ◽  
Internet Protocol ◽  
Voice Over Internet Protocol ◽  
Ip Network ◽  
Qos Parameters ◽  
Software Program ◽  
Jitter Delay ◽  
Qos Performance ◽  
Delay Variation ◽  
A Performance

VoIP stands for voice over internet protocol. It is one of the most widely used technologies. It enables users to send and transmit media over IP network. The transition from IPv4 to IPv6 provides many benefits for internet IPv6 is more efficient than IPv4. This paper presents a performance analysis of VoIP over WLAN using IPv4 and IPv6 and OPNET software program to simulate the protocols and to investigate the QoS parameters such as jitter, delay variation, packet send, and packet received and throughputs for IP4 and IP6 and compare between them.

scholarly journals A Generic Model for Identifying QoS Parameters Interrelations in Cloud Services Selection Ontology during Runtime

Symmetry ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 563
Author(s):  
Babu Rajendiran ◽  
Jayashree Kanniappan
Keyword(s):  
Service Providers ◽  
Cloud Service ◽  
Cloud Services ◽  
Operating Costs ◽  
Generic Model ◽  
Business Organizations ◽  
Cloud Environment ◽  
Cloud Service Provider ◽  
Qos Parameters ◽  
Computer Based

Nowadays, many business organizations are operating on the cloud environment in order to diminish their operating costs and to select the best service from many cloud providers. The increasing number of Cloud Services available on the market encourages the cloud consumer to be conscious in selecting the most apt Cloud Service Provider that satisfies functionality, as well as QoS parameters. Many disciplines of computer-based applications use standardized ontology to represent information in their fields that indicate the necessity of an ontology-based representation. The proposed generic model can help service consumers to identify QoS parameters interrelations in the cloud services selection ontology during run-time, and for service providers to enhance their business by interpreting the various relations. The ontology has been developed using the intended attributes of QoS from various service providers. A generic model has been developed and it is tested with the developed ontology.

An adaptive QoS framework for integrated cellular and WLAN networks

2005 ◽  
Vol 47 (2) ◽  
pp. 167-183 ◽  
Author(s):  
Xin Gang Wang ◽  
Geyong Min ◽  
John E. Mellor ◽  
Khalid Al-Begain ◽  
Lin Guan
Keyword(s):  
Adaptive Qos
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