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This paper presents a survey on current applications which practice the pervasive mechanism of cyber foraging. The applications include the LOCUSTS framework, Slingshot, Pupetter. This applications advocated the operating principle of task sharing among resource deficient mobile devices. These applications face some design issues for providing efficient performance like task distribution and task migration apart from the security aspect. The general operating mechanism of the cyber foraging technique are also discussed upon and the design options to leverage the throughput of the inherent mechanism is also represented in a suitable way.

Keywords

Cyber Foraging, Resource Deficient, LOCUSTS, Sligshot, Pupetter, Task Migration.

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References

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Robust Fault-Tolerant Training Strategy Using Neural Network to Perform Functional Testing of Software

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Authors

Manas Kumar Yogi ¹, L. Yamuna ¹

Affiliations
1 Department of Computer Science, Pragati Engineering College, Kakinada City, IN

Source

International Journal of Advanced Networking and Applications, Vol 9, No 3 (2017), Pagination: 3455-3460

Abstract

This paper is intended to introduce an efficient as well as robust training mechanism for a neural network which can be used for testing the functionality of software. The traditional setup of neural network architecture is used constituting the two phases -training phase and evaluation phase. The input test cases are to be trained in first phase and consequently they behave like normal test cases to predict the output as untrained test cases. The test oracle measures the deviation between the outputs of untrained test cases with trained test cases and authorizes a final decision. Our framework can be applied to systems where number of test cases outnumbers the functionalities or the system under test is too complex. It can also be applied to the test case development when the modules of a system become tedious after modification.

Keywords

ATNN, Fault, Neural, Test Case, Test Oracle.

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A Propulsive Roadmap for IoT Beyond 2025

Abstract Views :180 | PDF Views:0

Authors

Manas Kumar Yogi ¹, K. Ganga Devi Bhavani ¹

Affiliations
1 Department of Computer Science, Pragati Engineering College(A), Surampalem, A.P., IN

Source

International Journal of Advanced Networking and Applications, Vol 10, No 2 (2018), Pagination: 3808-3815

Abstract

IoT is a worldwide-recognized trend that is gaining popularity incredibly fast. The baseline lies in the fact that IoT has already transformed a number of industries and took them to the new level, and these industries include healthcare, finances and much more. No wonder there is such a hype about it .There are tremendous new opportunities with IoT flowing out every couple of months so we highly recommend all to keep an eye on this technology. In this paper will have shed light on the inherent concepts which will affect the working of IoT beyond 2025.We have discussed key points in this paper regarding the operational components of an IoT System where improvements can be done by researchers so as to leverage the usage of IoT environment.

Keywords

IoT, Nano, Sensors, Cognitive, Network, RFID.

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