• Dr.D.Sathiya

Proposed optimization techniques address the major challenges that varying wireless channel conditions, power consumption, and interaction latency pose for the remote display of cloud applications on mobile devices. Physically it separating the user interface from the application logic, mobile cloud computing allows multiple access to even the most demanding applications from intrinsically resource-constrained mobile devices. Developers tailor contemporary remote display optimization techniques to mobile devices lack for the problems are power consumption, the varying and limited bandwidth availability on wireless links, and interaction latency. Although each of these solutions adequately addresses specific mobile cloud computing challenges, an overall approach is currently lacking. Because of user mobility, the wide diversity of applications, and the varying wireless channel status, the mobile cloud computing context is highly dynamic. Future research should focus on the design of a comprehensive framework that preserves the existing solutions and activates the most appropriate one depending on the current device, network, and cloud server status. Cloud computing is a new paradigm in which computing resources such as processing, memory, and storage are not physically present at the user’s location. Instead, a service provider owns and manages these resources, and users access them via the Internet

cloud computing,Network,Database,computing devices, latency-based services, mobile Web

"MOBILITY CLOUD COMPUTING SCHEME FOR IMPROVING ENERGY EFFICIENCY, BANDWIDTH AND LATENCY TIME", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.c603-c607, May-2023, Available :http://www.jetir.org/papers/JETIR2305287.pdf

"MOBILITY CLOUD COMPUTING SCHEME FOR IMPROVING ENERGY EFFICIENCY, BANDWIDTH AND LATENCY TIME", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppc603-c607, May-2023, Available at : http://www.jetir.org/papers/JETIR2305287.pdf