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Emerging computational challenges in cloud computing and RTEAH algorithm based solution

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dc.contributor.author Rao, G.S.
dc.contributor.author Panem, C.
dc.contributor.author Anuradha, T.
dc.contributor.author Gad, R.S.
dc.date.accessioned 2021-07-20T04:34:12Z
dc.date.available 2021-07-20T04:34:12Z
dc.date.issued 2021
dc.identifier.citation Journal of Ambient Intelligence and Humanized Computing. 13(9); 2023; 4249-4269. en_US
dc.identifier.uri https://doi.org/10.1007/s12652-021-03380-w
dc.identifier.uri http://irgu.unigoa.ac.in/drs/handle/unigoa/6508
dc.description.abstract The new era of computation has given new directions for advancement and sophistication. The meaning of computation has made a paradigm shift from device and location orientation to the distributed level. Cloud has working models with a service-oriented delivery mechanism as well as a deployment oriented infrastructure mechanism. Data centers are the backbone of cloud computing. Multi-cloud exchanges allow organizations to establish a single connection to multiple cloud providers at the same time through an Ethernet switching platform, rather than wrestling with multiple individual connections to cloud providers. The massive participation of the public has also increased the load on the cloud servers. Proper scheduling of resources is always needed. There are many load balancing algorithms are there and all of them have their limitations. Different circumstances need different load balancing approaches. One single algorithm would not be able to provide a proper scheduling mechanism in all the needed directions. Therefore 'hybrid algorithms' would be best suited to provide improved services to the needs of the present conditions. This present paper analyzed a few and this can be carry forwarded to the next level with some other algorithms and parameters with vigorous efforts to analyze. en_US
dc.publisher Springer en_US
dc.subject Electronics en_US
dc.title Emerging computational challenges in cloud computing and RTEAH algorithm based solution en_US
dc.type Journal article en_US
dc.identifier.impf y


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