WAN Optimization Tools, Techniques and Research Issues for Cloud-Based Big Data Analytics

摘要

Increasing data volumes, data replication at offsite, and the greater than ever use of content-rich and Big Data, applications are mandating IT organizations to optimize their network resources. Trends such as Virtualization and Cloud computing further emphasize this requirement of this current era of Big data. To help with this process, companies are increasingly relying on a new generation of WAN optimization Techniques, Appliances, Controllers, Platforms and Products that are displacing standalone physical appliances by offering more scalability, flexibility, and manageability by additional inclusion of software to handle this Big data and bring valuable insights through big data analytics. An optimized WAN environment can increase network reliability, accessibility and availability and improve cost profiles. It also improves the performance and consistency of data backup, replication, and recovery processes. This paper covers the introduction to WAN optimization, prominent WAN optimization techniques, WAN optimization products used for Big data analytics and finally future trends and research Issues of WAN optimization in the ensuing era of Big data.