Web-based adaptive application mobility

Johansson, Dan; Andersson, Karl

doi:10.1109/cloudnet.2012.6483661

Cited by 8 publications

(5 citation statements)

References 20 publications

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“…The first category of works is mostly focused on mechanisms for saving/restoring the state of an application in an optimized manner [11], [16], [24], [28], [30], [37], [38]. State saving and restoration are achieved by injecting code into the application's data path, either via code transformation or via proxies that intercept HTTP requests in order to instrument code in the application's Web page.…”

Section: Related Workmentioning

confidence: 99%

Sprinkler: A probabilistic dissemination protocol to provide fluid user interaction in multi-device ecosystems

Luxey

Bromberg

Costa

et al. 2018

2018 IEEE International Conference on Pervasive Computing and Communications (PerCom)

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Offering fluid multi-device interactions to users while protecting their privacy largely remains an ongoing challenge. Existing approaches typically use a peer-to-peer design and flood session information over the network, resulting in costly and often unpractical solutions. In this paper, we propose SPRINKLER, a decentralized probabilistic dissemination protocol that uses a gossip-based learning algorithm to intelligently propagate session information to devices a user is most likely to use next. Our solution allows designers to efficiently trade off network costs for fluidity, and is for instance able to reduce network costs by up to 80% against a flooding strategy while maintaining a fluid user experience.

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Section: Related Workmentioning

confidence: 99%

Sprinkler: A probabilistic dissemination protocol to provide fluid user interaction in multi-device ecosystems

Luxey

Bromberg

Costa

et al. 2018

2018 IEEE International Conference on Pervasive Computing and Communications (PerCom)

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“…Recently, researches [169], [170] are emerging toward decreasing the networking overhead and facilitating mobility (both node and code mobility) in cloud-based offloading approaches. For example, Follow-Me Cloud [169] aims at enabling mobility of network end-points across different IP subnets.…”

Section: B Performance Limitation Factorsmentioning

confidence: 99%

“…Also, it levies redundant costs on cloud-mobile users and inhibits reliability of CMA models. Hence, alleviating such difficulties using Web advancements [170] and imminent lightweight cognitive mobility management systems with least signal traffic and latency can significantly enhance the ubiquitous connectivity and increase the positive impact of CMA.…”

Section: Application Mobility Provisioningmentioning

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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“…An architecture for web-based adaptive application mobility was presented in [19]. The paper contained a theoretical framework connecting HTML5 functionality to the requirements of application mobility.…”

Section: A Architectural Considerationsmentioning

confidence: 99%

“…A decentralized system also capitalizes on the fact that end-objects are smart and capable [20]. We therefore proceed from the original architecture proposed in [19], but redesign it so it becomes decentralized. The key tool for making this possible is the emergence of WebRTC.…”

Section: A Architectural Considerationsmentioning

confidence: 99%

Towards Implementing Web-Based Adaptive Application Mobility Using Web Real-Time Communications

Johansson

Holmgren

2014

2014 Eighth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing

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Application mobility is a subcategory of service mobility, being defined as the process of migrating applications between different hosts during application execution. In this paper we present a decentralized architecture for web-based adaptive application mobility, using the WebRTC framework. To the best of our knowledge, our proposal is the first of its kind within the area. It is our purpose to show the feasibility of a decentralized system for web-based adaptive application mobility, and present WebRTC as a strong facilitator of that idea.

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Web-based adaptive application mobility

Cited by 8 publications

References 20 publications

Sprinkler: A probabilistic dissemination protocol to provide fluid user interaction in multi-device ecosystems

Sprinkler: A probabilistic dissemination protocol to provide fluid user interaction in multi-device ecosystems

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

Towards Implementing Web-Based Adaptive Application Mobility Using Web Real-Time Communications

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