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2019 | OriginalPaper | Chapter

4. Cognitive Cloud Offloading Using Multiple Radios

Authors : Seyed Eman Mahmoodi, Koduvayur Subbalakshmi, R. N. Uma

Published in: Spectrum-Aware Mobile Computing

Publisher: Springer International Publishing

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Abstract

Given recent advances in technologies that enable bandwidth aggregation in wireless devices and the development of the HetNet, it is possible to simultaneously RAT interfaces in a wireless device. This chapter discusses optimal computational offloading that uses all available and viable RAT interfaces of a mobile device to achieve the best possible resource trade-offs when computationally offloading. The concept of cognitive cloud offloading is introduced. The solution discussed in this chapter optimally decides which components of an application to offload and which to execute locally, while simultaneously optimizing the percentage of data (associated with this offloading) to be sent via each viable radio interface. This chapter also discusses other solutions that fall under the general umbrella of radio-aware computation offloading.
This chapter also discusses a comprehensive model for the energy consumed by the mobile device, including energy expended in communicating relevant data between the cloud and the device. Note that unlike in the previous chapter, the solutions studied in this chapter assume a compiler pre-determined scheduling order for the components of the application.

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Metadata
Title
Cognitive Cloud Offloading Using Multiple Radios
Authors
Seyed Eman Mahmoodi
Koduvayur Subbalakshmi
R. N. Uma
Copyright Year
2019
DOI
https://doi.org/10.1007/978-3-030-02411-6_4