Authors : Shivani Dubey, Mamta Dahiya and Sunayana Jain
Abstract: Cloud computing provides a facility of any data center at any location in the world. There are various applications used in a centralized and distributed data center that suppliers and users can purchase, sell and rent for their information and product accessing. The suppliers and user have no knowledge about where these data centers are located and how they will be operated or maintained by using cloud collaboration. They only know how to connect or use the applications of cloud to perform their jobs. Today, there is lot of demand of cloud in various companies to establish their own data center. In logistics management, sharing of information at different level by different logistics partners, users and suppliers is a big challenge. They all want that every type of information should be shared in real time without any delay at minimum cost. For this, they need cloud based load balancing approaches to control network traffic and overloading on the data center. Load balancing is a distributed technique of workload for load balancing between two or more cloud servers. Load balancing considers service providers management, high traffic and always be ready to reduce and balance peak load on the server. Load balancing have always task to optimize resource use, virtual machine maintains data center cost, maximize, throughput, minimize response time and minimize overload. There are so many load balancing algorithms utilized to balance the load on the servers. In this study, we present technical review on different load balancing algorithms.
Shivani Dubey, Mamta Dahiya and Sunayana Jain, 2019. Implementation of Load Balancing Algorithm with Cloud Collaboration for Logistics. Journal of Engineering and Applied Sciences, 14: 507-515.