An Intermediate Target for Quick-Relay of Remote Storage to Mobile Devices

Kim, Daegeun; Ok, MinHwan; Park, Myong-soon

doi:10.1007/11424826_111

Cited by 7 publications

(1 citation statement)

References 2 publications

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“…Moreover, due to message passing in wireless medium through TCP/IP, the security and processing overhead (e.g., cryptography and data compression) are further challenges. To alleviate these challenges, several researches as MiSC [108], UbiqStor [109], [110], and Intermediate Target [111] are proposed towards realizing remote storage on mobile devices. However, due to scalability, availability, performance, and efficiency issues of traditional servers, power of remote storage could not fully unleash using traditional servers.…”

Section: Mobile Augmentation Types: Taxonomymentioning

confidence: 99%

Cloud-Based Augmentation for Mobile Devices: Motivation, Taxonomies, and Open Challenges

Abolfazli

Sanaei

Ahmed

et al. 2014

IEEE Commun. Surv. Tutorials

386

194

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Recently, Cloud-based Mobile Augmentation (CMA) approaches have gained remarkable ground from academia and industry. CMA is the state-of-the-art mobile augmentation model that employs resource-rich clouds to increase, enhance, and optimize computing capabilities of mobile devices aiming at execution of resource-intensive mobile applications. Augmented mobile devices envision to perform extensive computations and to store big data beyond their intrinsic capabilities with least footprint and vulnerability. Researchers utilize varied cloudbased computing resources (e.g., distant clouds and nearby mobile nodes) to meet various computing requirements of mobile users. However, employing cloud-based computing resources is not a straightforward panacea. Comprehending critical factors (e.g., current state of mobile client and remote resources) that impact on augmentation process and optimum selection of cloudbased resource types are some challenges that hinder CMA adaptability. This paper comprehensively surveys the mobile augmentation domain and presents taxonomy of CMA approaches. The objectives of this study is to highlight the effects of remote resources on the quality and reliability of augmentation processes and discuss the challenges and opportunities of employing varied cloud-based resources in augmenting mobile devices. We present augmentation definition, motivation, and taxonomy of augmentation types, including traditional and cloud-based. We critically analyze the state-of-the-art CMA approaches and classify them into four groups of distant fixed, proximate fixed, proximate mobile, and hybrid to present a taxonomy. Vital decision making and performance limitation factors that influence on the adoption of CMA approaches are introduced and an exemplary decision making flowchart for future CMA approaches are presented. Impacts of CMA approaches on mobile computing is discussed and open challenges are presented as the future research directions.

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