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| dc.contributor.author | Mehedi, S.M. Roudro | |
| dc.contributor.author | Hasan, Md. Mahabub | |
| dc.date.accessioned | 2020-10-10T06:36:15Z | |
| dc.date.available | 2020-10-10T06:36:15Z | |
| dc.date.issued | 2019-12-10 | |
| dc.identifier.uri | http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/4634 | |
| dc.description | Smart Mobile devices have become an inseparable part of our daily life to make our life easier and comfortable. Smart mobile devices provide us smart services anytime and anywhere. Now a day the number of Smartphone’s and tablets are increasing dramatically. The number of Smartphone and tabs are much higher than other smart devices. Newly arrived Smartphone and tabs are full of hardware and software resources such as different types of sensors and AI integrations. Mobile devices are giving the largest contribution to the social network. The wireless connection allows users to get connected with each other. It also allows us to play online games and applications. Despite these advance features the most common issue we are facing that is its limited battery life. Cloud computing can be a promising solution to tackle this problem smartly and easily. Cloud computing refers to both the applications delivered as services over the Internet and the hardware and systems software in the data centers that provide those services. The services themselves have long been referred to as Software as a Service (SaaS). Some vendors use terms such as IaaS (Infrastructure as a Service) and PaaS (Platform as a Service) to describe their products.[16]. Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction.[17]. It is a technique to connect mobile devices to a cloud, with vast resources in terms of hardware as well as software, for the purpose of computations related to various mobile applications, processing, storage of data etc.[18,19]. The mobile cloud that has unlimited resources virtually run the applications for the Smartphone’s to save the battery, to improve the performance and to improve the overall computation efficiency. In recent years, the researchers have greatly focused on the field of Mobile cloud computing. For the vast amount of the applications of Mobile cloud computing attracted the researchers to devote their time in it and make their contribution; due to this the field of Mobile cloud computing has been growing so rapidly. | en_US |
| dc.description.abstract | Due to the use of heavy weight applications battery life is draining faster and performance is decreasing day by day. Smartphone isn't capable to run heavy applications smoothly. Here we are proposing a Decision-making hybrid offloading algorithm to save energy for mobile devices. Decision making hybrid offloading algorithm can be an effective way to get rid of this problem. The method is effective to address the limited battery life of smart mobile devices. This algorithm takes decision based on available bandwidth and computational time. This algorithm also offloads computational tasks to the cloud as much as possible when the bandwidth of network transmission is suitable to offload. This algorithm can improve execution time and improve battery consumption of smart mobile devices. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Daffodil International University | en_US |
| dc.subject | Cloud Computing | en_US |
| dc.subject | Information Technology | en_US |
| dc.subject | Communication | en_US |
| dc.subject | Decision Making | en_US |
| dc.title | A Decision-Making Hybrid Offloading Algorithm for Mobile Cloud Computing | en_US |
| dc.type | Other | en_US |
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Project Report [2643]