• Harshida chaudhary
• Shital Patel
• Krunal Suthar

As the time passes every internet user wants freedom to access various available services with cheaper cost and from anywhere. Here the important term Cloud computing comes where the provider provides lots of service to its users. Thousand of cloud users use various services available and providers also keep track of this service usage. As the cloud provider the main goal is to provide better service with maximum profit. This can be done in two ways 1. By launching additional server with existing services 2. Launch more services in the existing servers. In both the cases provider need to make focus on services that are mainly requested by the user. So, provider needs to analyze all the data related to service access and requested by the customers. As the customer requested data increase gradually, it’s not good practice to analyze this data once; instead the continuous evaluation mechanism required which process this data whenever required. Based on this analysis provider can able to activate more services or able allocated machine to needy customers. In this research our goal is to propose a method which mine the service related details and give required outcome to the service provider which not only increase the revenue of the provider but also helps to allocate the newly launched resource to the dedicated customers.

Cloud computing, service Mining, profit maximization, QoS, evaluation, efficient resource allocation.

"A service mining technique for efficient resource allocation in cloud environment", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 2, page no.1068-1071, February-2018, Available :http://www.jetir.org/papers/JETIR1802189.pdf

"A service mining technique for efficient resource allocation in cloud environment", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 2, page no. pp1068-1071, February-2018, Available at : http://www.jetir.org/papers/JETIR1802189.pdf