Moitree: A Middleware for Cloud-Assisted Mobile Distributed Apps

Khan, Mohammad Arifin Rahman; Debnath, Hillol; Paiker, Nafize R.; Gehani, Narain; Ding, Xiaoning; Curtmola, Reza; Borcea, Cristian

doi:10.1109/mobilecloud.2016.21

Cited by 15 publications

(3 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In order to exploit cloud capabilities even further, some cloud offloading systems make use of "clones" of the mobile devices, which are cloud-based virtual machines that can take some of the computational burden from their mobile counterparts. CloneCloud [7] and Moitree [8] are notable systems that implement this paradigm. While this approach makes the transfer of executables from mobile to cloud more seamless, it might suffer from scalability issues if the number of mobile devices that have to be emulated is high.…”

Section: Related Workmentioning

confidence: 99%

Kea: A Computation Offloading System for Smartphone Sensor Data

Das

Bozdog²,

Makkes³

et al. 2017

2017 IEEE International Conference on Cloud Computing Technology and Science (CloudCom)

View full text Add to dashboard Cite

General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.• Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal Take down policyIf you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.

show abstract

Section: Related Workmentioning

confidence: 99%

Kea: A Computation Offloading System for Smartphone Sensor Data

Das

Bozdog²,

Makkes³

et al. 2017

2017 IEEE International Conference on Cloud Computing Technology and Science (CloudCom)

View full text Add to dashboard Cite

show abstract

“…We implemented a prototype of FaceDate on top of our Moitree [12] middleware for mobile distributed apps assited by the cloud. Moitree simpli es app development and provides cloud support for communication and computation o oading.…”

Section: Introductionmentioning

confidence: 99%

“…Our implementation of FaceDate uses the Moitree [12] middleware that facilitates the execution of collaborative apps within groups of mobile users. Moitree has the following key features:…”

Section: Introductionmentioning

confidence: 99%

FaceDate: A Mobile Cloud Computing App for People Matching

Neog

Debnath

Shan

et al. 2017

Proceedings of the 11th International Conference on Body Area Networks

Self Cite

View full text Add to dashboard Cite

is paper presents FaceDate, a novel mobile app that matches persons based on their facial looks. Each FaceDate user uploads their pro le face photo and trains the app with photos of faces they like. Upon user request, FaceDate detects other users located in the proximity of the requester and performs face matching in real-time. If a mutual match is found, the two users are noti ed and given the option to start communicating. FaceDate is implemented over our Moitree middleware for mobile distributed computing assisted by the cloud. e app is designed to scale with the number of users, as face recognition is done in parallel at di erent users. FaceDate can be con gured for (i) higher performance, in which case the face recognition is done in the cloud or (ii) higher privacy, in which case the face recognition is done on the mobiles. e experimental results with Android-based phones demonstrate that FaceDate achieves promising performance. CCS Concepts•Human-centered computing →Mobile computing; •Computer systems organization →Cloud computing; •So ware and its engineering →Middleware; Keywords Mobile cloud app, face matching MOBILWARE'16, December 2016, Turin, Italy Pradyumna Neog et al.

show abstract