Managing Real-Time Distributed Multimedia Applications

2011 ◽  
pp. 1-16
Author(s):  
Vana Kalogeraki ◽  
Peter Michael Melliar-Smith ◽  
Louise E. Moser

Distributed multimedia applications are characterized by timing constraints and end-to-end quality of service (QoS) requirements, and therefore need efficient management mechanisms to respond to transient changes in the load or the availability of the resources. This chapter presents a real-time distributed multimedia framework, based on the Common Object Request Broker Architecture (CORBA), that provides resource management and Quality of Service for CORBA applications. The framework consists of multimedia components and resource management components. The multimedia components produce multimedia streams, and combine multimedia streams generated by individual sources into a single stream to be received by the users. The resource management components provide QoS guarantees during multimedia transmissions based on information obtained from monitoring the usage of the system’s resources.

2018 ◽  
Vol 197 ◽  
pp. 15010
Author(s):  
Suartana I Made ◽  
Prapanca Aditya

QoS is not a consideration at the beginning of the development of IP networks. However, as its growth and support more services including critical and real-time services, QoS support is indispensable. Multimedia applications require different QoS requirements from simple network applications. Multimedia services need more bandwidth, lossless delivery, and strict delay. IP networks treat all traffic, in the same way, this will be a problem for real-time traffic likes multimedia applications. This project uses Multi-Protocol Label Switching (MPLS) and DiffServ QoS management schemes to meet the quality of service requirement in multimedia networks. The aim of this study shows that two methods can improve network performance for multimedia type applications. An analysis to compare the quality of service guarantees provided by these models using a simulation approach. Based on simulation results and analysis shows that two methods improved network performance for multimedia type applications in massive traffic environments.


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