Self-Tuning Service Provisioning for Decentralized Cloud Applications

Cloud computing has been a massive change in the world of information technology as well as e commerce. The storage facility available with cloud has been a handy tool for all the services provided to the customers. Previously, developers used to buy the resources in a traditional way which led them to high expenses, time complexity. In traditional method of buying and selling a product, the seller fixes a price and buyer has to agree with it when there is scarcity of that particular product and also if a seller can't find an effective buyer whose price matches with him. These cases can lead to dissatisfaction of either buyer or seller. In this project, we came up with an idea by using cloud computing to create a new method of bidding auctions which provides a common platform for both buyers and sellers to trade their storage spaces with their satisfactory prices so that a buyer can find a best seller for his/her budget and similarly a seller can find a best buyer for his/her price. In existing technique, all the methods are developed using Resource allocation algorithm whereas the new proposed technique uses Cloud Resource Allocation algorithm.