Cloud Based Big Data Analytics: WAN Optimization Techniques and Solutions

More advanced applications to run the business and ensure competitiveness includes many factors. Few factors that improve the competitiveness includes more distributed branch offices and users; more reliance on web and wide area network; more remote users insisting on high speed networks; unpredictable response times etc. In addition, escalating malware and malicious content have created lot of pressure on business expansion. Also, ever increasing data volumes, data replication at off-site, and greater than ever use of content-rich applications are mandating IT organizations to optimize their network resources. Trends such as virtualization and cloud computing further emphasize this requirement in the current era of big data. To assist this process, companies are increasingly relying on a new generation of, wide area network (WAN), optimization techniques, ap-pliances, controllers, and platforms. Hence, it displaces standalone physical appli-ances by offering more scalability, flexibility, and manageability. This is achieved by additional inclusion of software to handle big data and bring valuable insights through big data analytics. In addition, network reliability, accessibility, and avail-ability can be increased by an optimized WAN environment. Also, the perform-ance and consistency of data backup, replication, and recovery processes can be progressed. This chapter deals with the study of WAN optimization, tools, techniques, controllers, appliances and the solutions that are available for cloud based big data analytics. In addition, it provides a light on the future trends and the research potentials in this area.