A Robust Web-Based Approach for Broadcasting Downward Messages in a Large-Scaled Company

Downward communication is a popular push-based scheme to forward messages from headquarters to front-line staff in a large-scaled company. With the maturing intranet and web technology, broadcasting algorithms, including pull-based and push-based broadcasting algorithms, it is feasible to send downward messages through web-based design by sending packets on a network. To avoid losing messages due to the traditional push-based method, companies adopt a pull-based algorithm to build up the broadcasting system. However, although the pull-based method can ensure that a message is received, it has a critical problem, the network is always congested. The push-based method can avoid congesting the network, but it needs a specific robust design to ensure that the message reaches its destination. Hence, adopting only a pull-based or a push-based broadcasting algorithm is no longer feasible especially not for a large-scaled company with complex network architecture. To ensure that every receiver will read downward messages thereby reducing the consumption of network bandwidth, this work proposes a robust web-based push- and pull-based broadcasting system for sending downward messages. This proposed system was successfully applied to a large-scaled company for a one-year period.

[1]  Donald W. Davies An Historical Study of the Beginnings of Packet Switching , 2001, Comput. J..

[2]  Prashant J. Shenoy,et al.  Adaptive push-pull: disseminating dynamic web data , 2001, WWW '01.

[3]  陸行 Industrial Track: An effective approach for content delivery in an evolving intranet environment- a case study of the largest telecom company in Taiwan , 2005 .

[4]  Miguel Castro,et al.  Practical byzantine fault tolerance and proactive recovery , 2002, TOCS.

[5]  Faith Ellen,et al.  Hundreds of impossibility results for distributed computing , 2003, Distributed Computing.

[6]  Diomidis Spinellis,et al.  A survey of peer-to-peer content distribution technologies , 2004, CSUR.

[7]  Jun-Der Leu,et al.  An Effective Approach for Content Delivery in an Evolving Intranet Environment - A Case Study of the Largest Telecom Company in Taiwan , 2005, WISE.

[8]  C. L. Pascal Enabling chance interaction through instant messaging , 2003 .

[9]  Anne H. H Ngu,et al.  Web Information Systems Engineering - WISE 2005, 6th International Conference on Web Information Systems Engineering, New York, NY, USA, November 20-22, 2005, Proceedings , 2005, WISE.

[10]  S.K. Das,et al.  A probabilistic push-pull hybrid scheduling algorithm for asymmetric wireless environment , 2004, IEEE Global Telecommunications Conference Workshops, 2004. GlobeCom Workshops 2004..

[11]  Andrés Suárez-González,et al.  Improving aggregate flow control in differentiated services networks , 2004, Comput. Networks.

[12]  Danny Dolev,et al.  Using AVL trees for fault-tolerant group key management , 2000, International Journal of Information Security.

[13]  M. Brian Blake,et al.  A publish and subscribe collaboration architecture for web-based information , 2005, WWW '05.

[14]  H. Raghav Rao,et al.  Impact of Mobile Computing Terminals in Police Work , 2003, J. Organ. Comput. Electron. Commer..

[15]  Robbert van Renesse,et al.  Reliable Distributed Computing with the Isis Toolkit , 1994 .

[16]  Lars Lundberg,et al.  Optimal recovery schemes in fault tolerant distributed computing , 2005, Acta Informatica.

[17]  E. Lawler,et al.  Behavior in Organizations , 1986 .