Research Project: Context aware adaptive modeling for mobile cloud application Keywords: context awareness, adaptation, distributed system, mobile cloud and response time Introduction Research backgrounds and problem statement Statement Mobile cloud computing as a possible data center to broadband cloud computing Enable fast access The computing resources of an application on a data center application are determined by different levels of detail, context, and presentation, depending on the user and its environment, depending on several parameters [ 1].
The service (m) model as a mobile "backend" is also called a backend service (BaaS) and provides a way for web applications and mobile application developers to link applications through application programming. Cloud storage and cloud computing service methods are published in the interface (API) and custom software development kit (SDK) of those applications. Services include user management, push notification, and integration with social networking services. This is a relatively new model in cloud computing and the history of most BaaS startups can be traced back to 2011 or later but the trend is that these services are getting mainstream traction from enterprise consumers .
Software applications such as context rich computing, mobile computing, pervasive computing, and cloud-based services play an important role in context-rich systems. Context-based systems use application programming interfaces (APIs) to create applications for smartphones and focus on computing technology. Development of network services and software technology will lead the world system market with abundant background. For the growth of the environmentally rich system market globally, high mobile penetration rate and connected equipment are important factors. In addition, companies that are expected to use disruptive technologies to achieve greater customer coverage and to achieve the company's global spending on IT spending in the vertical industry, We will drive market growth. Users are gathering in Connected World due to price declines of electronics and introduction of technology
Abundant system market opportunities, main trends up to 2025, background of growth and analysis | Insight Partners
Interest in environmentally-friendly computing is driven by trends in the most popular technologies such as cloud, mobile, social and big data. Given the initial impact of these trends, it is natural that context aware computing has been adopted in the consumer industry from the earliest. Some of the first examples now anywhere are smart recommendation engines from Amazon and other online retailers that support purchasing based on personal preferences, shopping history, etc.