An Efficient Cloud Computing Scaling on Internet using Ant based Techniques
Author(s) -
Bhavana singh,
Sandeep Rai,
Rajesh Boghey
Publication year - 2017
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/ijca2017914101
Subject(s) - computer science , cloud computing , scaling , the internet , ant , ant colony optimization algorithms , world wide web , artificial intelligence , distributed computing , data science , computational science , computer network , operating system , geometry , mathematics
In this paper a new and efficient Hybrid Technique for the Automatic Scaling of Internet Things in Cloud Computing is proposed using Ant based techniques. The Proposed methodology applied here is used for the load balancing over cloud computing and hence scales over cloud for internet on Things. The methodology performs better in terms of Scalability and Decision Time and number of placements. The Various Experimental Results Performed on Cloud Environment proofs to be more efficient in terms of Decision Time and Response Time in Comparison. . The Proposed Methodology implemented here is based on Ant based Clustering Techniques, where Scaling of Internets is done by grouping the ants moving from one source Node to Another.
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