Session mobility solution for client-based application migration scenarios

Højgaard-Hansen, Kim; Nguyen, Huan Cong; Schwefel, Hans-Peter

doi:10.1109/wons.2011.5720203

Cited by 12 publications

(15 citation statements)

References 12 publications

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“…This allows for Java applications to be restored on a new host, using the Java reflection technique. Other centralized systems are Gaia [9], MDAgent [7] and MSP [10], which all make use of a migration server as a means of managing the redistribution of applications within the system. Hydra [13] and A2M [14] both make use of decentralized migration platforms, removing the migration server from the architecture.…”

Section: B Projects Targeting Application Mobilitymentioning

confidence: 99%

“…Most solutions rely on centralized distribution of applications (MDAgent [7]; Sparkle [8]; Gaia [9]; MSP [10]) and/or code loading (Roam [11]; SAMProc [12]), when a central server is used to store different versions of the application. Other projects display decentralized solutions, using multicasting as means of communication and signaling (e.g.…”

Section: Introductionmentioning

confidence: 99%

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Web-based adaptive application mobility

Johansson

Andersson

2012

2012 IEEE 1st International Conference on Cloud Networking (CLOUDNET)

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Abstract-Application mobility is achieved when migrating an application with its code, states and all related information from one device to another during its execution. As traditional applications are being challenged by apps, we believe it is time to rethink the notion of application mobility and explore the concept from a web perspective. More specifically, this paper aims to address the challenges associated with application mobility through mapping these against features within modern web technologies, analyzing their ability to meet the specific requirements of application mobility. An architectural proposal is described where we deploy application mobility using web technologies. We show that the emerging HTML5 standard along with related API:s and frameworks can provide an environment for delivering application mobility that strongly meets the requirements of support for offline work and heterogeneous environments.

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Section: B Projects Targeting Application Mobilitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Web-based adaptive application mobility

Johansson

Andersson

2012

2012 IEEE 1st International Conference on Cloud Networking (CLOUDNET)

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“…These three phases can be named suspension, migration and resumption [23]. Migration can be sender initiated, when the user or the system ac-Centralized [10] Migration server, SOCKSv5 proxy Centralized Basic device, connectivity and user discovery tively triggers migration of the application from the host to another device. Migration can also be receiver initiated, when the application is instead fetched onto a new device, again either by a user or by the system [7].…”

Section: Definitionsmentioning

confidence: 99%

“…Most CASAM-systems (Roam [6]; an unnamed system by Bandelloni and Paternò [2]; Sparkle [22]; Gaia [19]; MDAgent [23]; SAMProc [21]; MSP [10]) are centralized, to an high extent relying on server-side components. Such an architecture makes the system very sensible to disturbances in Internet connection, thus canceling out one of the most important strengths of application mobility, namely a lesser degree of Internet dependency (for instance compared to the usage of similar cloud applications).…”

Section: Related Workmentioning

confidence: 99%

A MIP-P2P based architecture for application mobility

Johansson

Åhlund

2011

Proceedings of the 10th International Conference on Mobile and Ubiquitous Multimedia

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Mobility exists in many shapes; when migrating a running application (code, states and data) from one device to another, one has achieved application mobility. In this article we combine this mobility type with context awareness, defining context awareness supported application mobility (CASAM) as when using context in the act of moving an application between hosts during its execution, to provide relevant information and/or services, where relevancy depends on the user's task. We identify and present five CASAM challenges, that are used to create requirements for a CASAM architecture. A proposal for an architecture, building on peer-to-peer (P2P) technology in combination with mobile IP, is then presented, addressing the identified challenges, providing a decentralized framework for global application mobility. As such, our architecture differs from earlier centralized and/or locally bound solutions for application mobility.

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“…This characterizes a mean migration delay of 2 seconds, when time-unit per time-step is 100ms (equal toD = 20). The failure probability and delay mean are sampled from experimental work on migration prototypes, described in detail in [18]. For the dissatisfaction function η(D) = −α · D, we use α = 0.01, which has been determined a reasonable value through experiments, as it depends on a combination of the scale of the rewards and the mean delay.…”

Section: Simulation Modelmentioning

confidence: 99%

Model-Based Decision Framework for Autonomous Application Migration

Nickelsen

Olsen

Schwefel

2011

Analytical and Stochastic Modeling Techniques and Applications

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Abstract. The state of the run-time environment impacts the performance of networked applications and furthermore inuences the quality of the user experience of the applications. By migrating the application between the user's devices that give dierent experiences, a good overall user experience can be maintained, without loosing the application session. It is non-trivial for a system to automatically choose the best device for migration. The choice must maximize the experience quality and take into account that a migration delays the user's work-ow and even may fail. Moreover, the environment state is not directly observable, and needs to be estimated which leads to inaccuracy. We model the automatic migration trigger as a stochastic optimization problem and we propose to use a hidden Markov model combined with a Markov Decision Process (MDP) to solve the problem. The solution generates policies to choose target device for migration that gives the optimal user experience when enforced in simulated scenarios. We derive conclusions on which scenarios the model-based approach performs better than a greedy approach, also when considering inaccurate state estimation.

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Session mobility solution for client-based application migration scenarios

Cited by 12 publications

References 12 publications

Web-based adaptive application mobility

Web-based adaptive application mobility

A MIP-P2P based architecture for application mobility

Model-Based Decision Framework for Autonomous Application Migration

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