Mobility Support in a P2P System for Publish/Subscribe Applications

Author(s):  
Thomas Kunz ◽  
Abdulbaset Gaddah ◽  
Li Li

Peer-to-Peer computing is a popular, relatively new, distributed computing paradigm. It allows for a flexible set of participants to coordinate their resources with little overhead or reliance on central servers/ services and is becoming particularly relevant in mobile computing environments, where peers come and go. Communication between an (unknown) number of peers, which may or may not be online at the same time, is greatly facilitated by the publish/subscribe model. In this chapter, the authors review the stateof- the-art in publish/subscribe systems, focusing on the support for mobile peers in infrastructure-based networks. They propose a novel handoff approach that proactively distributes pub/sub-related information to brokers/superpeers ahead of a peer’s movement. They show through extensive experiments in a small testbed that the new approach has significant performance benefits, compared to the more typical reactive approach, in which pub/sub context is only established after a handoff event occurred.

Author(s):  
Sherali Zeadally ◽  
Farhan Siddiqui

In mobile computing environments; the goal is to provide continuous connectivity as a mobile host moves from one network to another – often referred to as terminal mobility. All the needed reconnection occurs automatically and non-interactively (Handley at al.; 1999). Terminal mobility can be achieved by exploiting mobile IP (Perkins; 1998) to provide mobile users the convenience of seamless roaming. Another major requirement for full mobility support is the need of an architecture that enables automatic discovery of the user location which changes with mobility of the user – a feature often referred as personal mobility. New application-layer protocols such as SIP (Handley et al.; 1999) can be used to provide this personal mobility.


Author(s):  
Neha Mehta ◽  
Svav Prasad ◽  
Leena Arya

Ultrasound imaging is one of the non-invasive imaging, that diagnoses the disease inside a human body and there are numerous ultrasonic devices being used frequently. Entropy as a well known statistical measure of uncertainty has a considerable impact on the medical images. A procedure for minimizing the entropy with respect to the region of interest is demonstrated. This new approach has shown the experiments using Extracted Region Of Interest Based Sharpened image, called as (EROIS) image based on Minimax entropy principle and various filters. In this turn, the approach also validates the versatility of the entropy concept. Experiments have been performed practically on the real-time ultrasound images collected from ultrasound centers and have shown a significant performance. The present approach has been validated with showing results over ultrasound images of the Human Gallbladder.


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