Abstract
In today’s world, mobile computing is growing rapidly. Smartphones, notebooks, computers, gaming consoles, smartwatches, and other gadgets have grown at an exponential rate. These devices are assembled with data resources such as sensors and cameras, as well as user interface features such as speakers and touchscreens. Online communication and gaming are possible because of the Internet, allowing people to connect. These functionalities require intensive computational operations and must be handled by the latest mobile devices. But mobile devices have a limitation in data storage and energy. Cloud computing gives services to users over the Internet, anything can be delivered via the cloud. Mobile Cloud Computing (MCC) is a technique where the application process and data storage can be done outside the mobile device. It is a combination of mobile computing, cloud computing, and wireless network that collaborate to provide rich computational resources to mobile users. The procedure of migration of data and computation process from a mobile device toward the cloud is known as offloading. The focus of this paper is to investigate the different algorithms and frameworks and experiment surroundings that are used for offloading data and processes from mobile devices to cloud systems.
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Singh, R., Pandey, N., Mehrotra, D., Mishra, D. (2023). A Study of Different Approaches of Offloading for Mobile Cloud Computing. In: Bhattacharya, A., Dutta, S., Dutta, P., Piuri, V. (eds) Innovations in Data Analytics. ICIDA 2022. Advances in Intelligent Systems and Computing, vol 1442. Springer, Singapore. https://doi.org/10.1007/978-981-99-0550-8_12
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DOI: https://doi.org/10.1007/978-981-99-0550-8_12
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