Abstract
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.
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References
Nirmala, M.B.: WAN optimization tools, tecniques and research issues for cloud based big data analytics, pp. 280–285. IEEE Xplore (2014), doi:10.1109/WCCCT.2014.72
Nirmala, M.B.: A survey of big data analytic systems: Appliances, platforms and frameworks. In: Pethuru Raj, C., Ganesh, C.D. (eds.) Handbook of Research for Cloud Infrastructures to Big Data Analytics, pp. 393–419. IGI Global, USA (2014)
McClure, T.: Accelerating data migration with WAN optimization. In: Data Center Consolidation and Construction Trends, pp. 1–3. Enterprise Strategy Group, Inc. (2010)
Genetec: Three Simple Ways to Optimize Your Bandwidth Management in Video Surveillance. White paper, pp. 1–13. Genetec, Canada (2010) http://www.genetec.com/Documents/EN/Whitepapers/EN-Genetec-Three-Simple-Ways-to-Optimize-Your-Bandwidth-Management-in-Video-Surveillance-WhitePaper.pdf
The Taneja Group: Riverbed extends from WAN optimization to edge virtual server infrastructure (Edge-Vsi). Taneja Group, Technology Analysts, pp. 1–8 (2011), http://www.ndm.net/wanoptimization/pdf/Whitepaper-Taneja-Riverbed-Sets-a-New-Standard-for-WAN-Opt.pdf
MacVittie, L.: F5 WAN optimization for Oracle database replication services, pp. 1–18. F5 Network, Inc., USA (2012)
Akker, C.: F5 WAN optimization for Oracle database replication services faster replication across the WAN. White paper, pp. 1–20. F5 Network, Inc., USA (2011)
F5 Network: A data sheet on BIG-IP WAN optimization manager, pp. 1–12. F5 Network, Inc., USA (2013)
Gartner: Gartner magic quadrant report on WAN optimization controllers. White paper. Gartner Inc., USA (2013)
Aust, A.: Complement your WAN optimization controller investment for big data and bulk data transfer. White paper, pp. 1–4. TIXEL GmbH, Germany (2013)
Peak, S.: IDC: The role of virtual WAN optimization in the next generation datacenter. White paper. IPEXPO Online, London (2012)
Blender, M.A., Bradley, C.K.: Data structures and algorithms for big databases. State University of NewYork, pp. 1–208 (2012)
Machanavajjhala, A.: Algorithms for big data management. Duke University, USA (2013), www.cs.duke.edu/courses/spring13/compsci590.2
Moon, Y.C., Jung, H.M., Yoo, C., Ko, Y.W.: Data deduplication using dynamic chunking algorithm. In: Nguyen, N.-T., Hoang, K., Jędrzejowicz, P. (eds.) ICCCI 2012, Part II. LNCS, vol. 7654, pp. 59–68. Springer, Heidelberg (2012)
Orlando, K., Bautista, M.M., Mejia, J.R.M., Langnor, R.G.: IBM ProtecTIER Implementation and Best Practices Guide. Redbooks Publications, USA (2014)
Ritter, T.: Simplifying branch office management. TechTarget, SearchEnterpriseWAN.com, Newton, MA (2010), http://searchenterprisewan.techtarget.com/ebook/Simplifying-branch-office-management
Tittel, E.: Optimized WAN Application Delivery. Realtime Publishers, Inc., USA (2010)
Machowinski, M.: WAN optimization appliance market highlights 1Q09. Enterprise Routers and WAN Optimization Appliances, Infonetics Research (2009)
Conner, N.W.: WAN Optimization for Dummies, Blue Coat Special, 2nd edn. Wiley Publishing, Inc. (2009)
Laliberte, B.: An ROI analysis of virtualized WAN optimization software. Solution Impact Analysis, pp. 1–14. Enterprise Strategy Group, Inc. (2013), http://www.silver-peak.com/sites/default/files/infoctr/esg-case-study-silver-peak-roi-jul-2013.pdf
Pethuru Raj, C.: The IT readiness for the digital universe. In: Pethuru Raj, C., Ganesh, C.D. (eds.) Handbook of Research for Cloud Infrastructures to Big Data Analytics, pp. 1–21. IGI Global, USA (2014)
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Nirmala, M.B. (2015). Cloud Based Big Data Analytics: WAN Optimization Techniques and Solutions. In: Acharjya, D., Dehuri, S., Sanyal, S. (eds) Computational Intelligence for Big Data Analysis. Adaptation, Learning, and Optimization, vol 19. Springer, Cham. https://doi.org/10.1007/978-3-319-16598-1_11
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