• Ushaben Barad

With the immense growth of internet and its users, Cloud computing, with its incredible possibilities in ease, Quality of service and on-interest administrations, has turned into a guaranteeing figuring stage for both business and non-business computation customers.. The dynamic environment of cloud results in various unexpected faults and failures.as the number of request increases over the datacenter then the failure probability load is also increases .so the requested task should be balance so there is minimum failure occur over the datacenter.so to overcome this issue ,we proposed a adaptive genetic algorithm using the levenberge marquaradt algorithm(LM) which overcome the difficulties that arise due to fault and existing implemented algorithm .the paper analyze the fault on different parameter in term of request count and request failed.

cloud computing ,fault tolerance ,LM equation, adaptive genetic algorithm.

"RESPONSIBILITY LENIENCE EXPENDING APTNESS SYSTEM TRENDY FOG TOTALING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 3, page no.105-110, March-2018, Available :http://www.jetir.org/papers/JETIR1803431.pdf

"RESPONSIBILITY LENIENCE EXPENDING APTNESS SYSTEM TRENDY FOG TOTALING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 3, page no. pp105-110, March-2018, Available at : http://www.jetir.org/papers/JETIR1803431.pdf