A reliable multicast framework for light-weight sessions and application level framing
IEEE/ACM Transactions on Networking (TON)
Group communication specifications: a comprehensive study
ACM Computing Surveys (CSUR)
Internetworking Multimedia
Scalable Multimedia Communication Using IP Multicast and Lightweight Sessions
IEEE Internet Computing
Continuous-Media Courseware Server: A Study of Client Interactions
IEEE Internet Computing
Group Coordination Support for Synchronous Internet Collaboration
IEEE Internet Computing
An Active Reliable Multicast Framework for the Grids
ICCS '02 Proceedings of the International Conference on Computational Science-Part II
Performance Analysis of an Application-level Cooperative Control Protocol
NCA '03 Proceedings of the Second IEEE International Symposium on Network Computing and Applications
Performance Modelling of Reliable Multicast Transmission
INFOCOM '97 Proceedings of the INFOCOM '97. Sixteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Driving the Information Revolution
The use of network delay estimation for multimedia data retrieval
IEEE Journal on Selected Areas in Communications
A novel data replication mechanism in P2P VoD system
Future Generation Computer Systems
An agent-based approach for the design and analysis of content delivery networks
Journal of Network and Computer Applications
Hi-index | 0.00 |
This paper proposes the COoperative COntrol Protocol (COCOP), which enables a synchronous cooperative group to interactively control an on-demand server which multicasts time-dependent data streams. Multicast-based streaming on-demand systems such as video on-demand systems, web casters, and networks of real/virtual sensors can beneficially exploit COCOP to provide cooperative control sessions as a mainstream service. In order to improve efficiency and scalability, the protocol relies on a reliable multicast transport layer which can be based either on the IP-multicast or on Application Layer Multicast. Performance evaluation of COCOP was carried out on multicast trees by using a discrete-event simulation framework.