Mungara Kiran Kumar

Controlling Traffic in an E-Commerce Website Using Elastic Load Balancer 1Y. Saiteja, 2G.Uday, 3Saharsha baral, 4M.Kiran Kumar 1, 2, 3 UnderGraduate, Department of Information Technology, Guru Nanak Institutions Technical Campus. 4Assistant Professor, Department of Information Technology, Guru Nanak Institutions Technical Campus Hyderabad, Telangana-India ABSTRACT: Controlling traffic in web sites is a huge deal for the balancers which used for managing the traffic in the precipitate websites. Elastic Load Balancing automatically distributes incoming application traffic across multiple targets, such as Amazon EC2 instances, containers, IP addresses. It can handle the varying load of your application traffic in a single Availability Zone or across multiple Availability Zones. Elastic Load Balancing offers three types of load balancers that all feature the high availability, automatic scaling, and robust security necessary to make your applications fault tolerant. It includes an inter-cl...

ABSTRACT: Wide range of problems regarding to natural language processing, mining of data, bioinformatics and information retrieval can be categorized as string transformation, the following task refers the same. If we give an input string, the system will generates the top k most equivalent output strings which are related to the same input string. In this paper we proposes a narrative and probabilistic method for the transformation of string, which is considered as accurate and also efficient. The approach uses a log linear model, along with the method used for training the model, and also an algorithm that generates the top k outcomes. Log linear method can be defined as restrictive possibility distribution of a result string and the set of rules for the alteration conditioned on key string. It is guaranteed that the resultant top k list will be generated using the algorithm for string generation which is based on pruning. The projected technique is applied to correct the spelling e...