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Vol. 11, Special Issue 2 (2022)

Intelligence itinerary planning mobile agent technology for emerging large scale unsupervised distributed terminals

Author(s):
Rahul Singh Chowhan and Purva Dayya
Abstract:
The advancement of technology and incorporation of code mobility, task oriented-ness, and machine-based cognition has altered the need of mobile agents. This entity is not only capable to assist in the creation of various applications with temporary connections but also can stay back at the terminals and inform the network admin about the network resources. In addition to that an agent paradigm gives simple approaches for designing agent-based applications that can be use for optimization of load over distributed computing. It further provides facilities like mobility, functioning in unreliable networks, unsupervised itinerary traversing and execution and features like that can help mobile agent-based terminals survive in the face of conventional client-server implemented technological methodologies. The topic also addresses mobility patterns and their application domains and the expected implementation challenges such as security issues, in adoption of this technology.
Pages: 626-629  |  267 Views  81 Downloads
How to cite this article:
Rahul Singh Chowhan and Purva Dayya. Intelligence itinerary planning mobile agent technology for emerging large scale unsupervised distributed terminals. The Pharma Innovation Journal. 2022; 11(2S): 626-629.

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