Adaptive Per-application Load Balancing with Neuron-Fuzzy to Support Quality of Service for Voice over IP in the Internet

Author(s):  
Sanon Chimmanee ◽  
Komwut Wipusitwarakun ◽  
Suwan Runggeratigul
2019 ◽  
Vol 16 (2) ◽  
pp. 764-767
Author(s):  
P. Chitra ◽  
Karthika D. Renuka ◽  
K. Senathipathi ◽  
S. Deepika ◽  
R. Geethamani

Cloud computing is the cutting edge technology in the information field to provide services to the users over the internet through web–based tools and applications. One of the major aspects of cloud computing is load balancing. Challenges like Quality of service (QoS) metrics and resource utilization can be improved by balancing the load in cloud environment. Specific scheduling criteria can be applied using load balancing for users prioritization. This paper surveys different load balancing algorithms. The approaches that are existing are discussed and analyzed to provide fair load balancing and also a comparative analysis was presented for the performance of the existing different load balancing schemes.


Author(s):  
Souheil Khaddaj ◽  
Bippin Makoond

The Telecoms market is demanding more services which involve an increased mobile accessibility to the Internet, real time video transmission, real time games, Voice over IP (VOIP), and business critical transactions such as billing transactions and banking services. Meeting these challenges requires the mobile operators to change the way they design their telephony and messaging systems. As the mobile market moves to become more service centric, rather than technology centric, Quality of Service (QoS) has grown to become imperative, since in the Telecoms innovative services are very often short lived, where the quality aspects of a system and the provided services contribute as key differentiators. Thus, the main focus of this chapter is based around the QoS issues which have led to the consideration of a distributed messaging model to address the challenges faced in the Telecoms industry.


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