Designing peer-to-peer distributed user interfaces: Case studies on building distributed applications

Fisher, Eli; Badam, Sriram Karthik; Elmqvist, Niklas

doi:10.1016/j.ijhcs.2013.08.011

Cited by 13 publications

(6 citation statements)

References 49 publications

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“…A third category of works addresses session handoff in an ad hoc fashion, relying on a peer-to-peer architecture to save and transfer application sessions among devices owned by users [17], [18], [32]. However, these works do not take user behavior into consideration, and as the target device is not known in advance, they rely on blind flooding to propagate the session state.…”

Section: Related Workmentioning

confidence: 99%

“…To the best of our knowledge, only few approaches have sought to protect users' privacy in a multi-device ecosystem. These approaches typically exploit a peer-to-peer architecture to save and transfer application sessions only on devices owned by users, avoiding the need to trust any third party [17], [18], [32]. However, as the behavior of users is not known in advance, the aforementioned solutions blindly flood the ongoing interactive session to all devices of the ecosystem, as no device is able to predict which device will be used next.…”

Section: Introductionmentioning

confidence: 99%

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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%

Section: Introductionmentioning

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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show abstract

“…P2P networks are ideal for this purpose 35,36 as they do not set a hierarchy among the devices and they do not require a dedicated server infrastructure to create clusters.…”

Section: Design Framework: Ad Hoc Computational Clusters For Web-basementioning

confidence: 99%

VisHive: Supporting web-based visualization through ad hoc computational clusters of mobile devices

Cui

Sen

Badam

et al. 2018

Information Visualization

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Current web-based visualizations are designed for single computers and cannot make use of additional devices on the client side, even if today’s users often have access to several, such as a tablet, a smartphone, and a smartwatch. We present a framework for ad hoc computational clusters that leverage these local devices for visualization computations. Furthermore, we present an instantiating JavaScript toolkit called VisHive for constructing web-based visualization applications that can transparently connect multiple devices—called cells—into such ad hoc clusters—called a hive—for local computation. Hives are formed either using a matchmaking service or through manual configuration. Cells are organized into a master–slave architecture, where the master provides the visual interface to the user and controls the slaves and the slaves perform computation. VisHive is built entirely using current web technologies, runs in the native browser of each cell, and requires no specific software to be downloaded on the involved devices. We demonstrate VisHive using four distributed examples: a text analytics visualization, a database query for exploratory visualization, a density-based spatial clustering of applications with noise clustering running on multiple nodes, and a principal component analysis implementation.

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“…To the best of our knowledge, though, there exists no adequate solution proposing distributed session handoff among one's devices. A few studies have tackled applications' state sharing in the context of Distributed User Interfaces, by leveraging peer-to-peer (P2P) techniques [18], [31]. Alas, they require a constant interconnection between devices, and blindly flood the devices with state updates.…”

Section: Introductionmentioning

confidence: 99%

CASCADE: Reliable Distributed Session Handoff for Continuous Interaction Across Devices

Bromberg

Luxey

Taı̈ani

2018

2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS)

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Allowing users to navigate seamlessly between their personal devices while protecting their privacy remains today an ongoing challenge. Existing solutions rely on peer-to-peer designs, and blindly flood the network with session messages. It is particularly hard to come up with proposals that are both costefficient and dependable while relying on poorly connected mobile appliances. We propose CASCADE, a distributed protocol to share applicative sessions among one's devices. Our proactive session handoff algorithm takes inspiration from the BitTorrent P2P file sharing protocol, but adapts it to the specific characteristics of our problem. It eschews in particular trackers, and limits the seeders of each session to the devices most likely to be used next, as computed by a decentralized aggregation protocol. A key aspect of our approach is to trade off network costs for reliability, while providing a faster session handoff than centralized solutions in the vast majority of the cases.

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Designing peer-to-peer distributed user interfaces: Case studies on building distributed applications

Cited by 13 publications

References 49 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

VisHive: Supporting web-based visualization through ad hoc computational clusters of mobile devices

CASCADE: Reliable Distributed Session Handoff for Continuous Interaction Across Devices

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