Auto-Scaling, Load Balancing and Monitoring As service in public cloud

Abstract

Cloud computing(1)(2)(3) word has changed the classical computing environment in IT industries. it is most emerging & popular technology in IT & research field because of its great feature such as virtualization and on-demand resource allocating (dynamic) . Now - a - days because of increased use of internet the associate resource are increasing rapidly resulting generation of high work load. To provide the reliable service to client with QOS(5 ) the load balancing mechanism is necessary in cloud environment, to prevent system from overloading and crash an autoscaling mechanism must also be provided according to the application and incoming user traffic. load balancing mechanism provides the distribution of load among one or more nodes of cloud system, for efficient service model autoscaling feature also enabled with the load balancer to handle the excess load. Auto scaling scaled-up and scaled down the platform dynamically according to the clients incoming traffic this save money and physical resources. Latency based routing is the new concept in cloud computing which provide the load balancing based on DNS latency to global client by mapping domain name system (DNS) (10 )through the different hosted zone .provide the load balancing based on geographical service region. To achieve above mentioned we use the public cloud services such as amazons'EC2. ELB. This research is divided in four part such as: i) load balancing ii) auto scaling iii)latency based routing iv) resource monitoring . while discussing each topic in detailed we will implement the individual service and test while providing load from external software tool putty we will produce result for efficient load balancing.