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An open ecosystem for mobile-cloud convergence

Published: 01 March 2015 Publication History

Abstract

We show how a disruptive force in mobile computing can be created by extending today's unmodified cloud to a second level consisting of self-managed data centers with no hard state called cloudlets. These are located at the edge of the Internet, just one wireless hop away from associated mobile devices. By leveraging lowlatency offload, cloudlets enable a new class of real-time cognitive assistive applications on wearable devices. By processing high data rate sensor inputs such as video close to the point of capture, cloudlets can reduce ingress bandwidth demand into the cloud. By serving as proxies for distant cloud services that are unavailable due to failures or cyberattacks, cloudlets can improve robustness and availability. We caution that proprietary software ecosytems surrounding cloudlets will lead to a fragmented marketplace that fails to realize the full business potential of mobile-cloud convergence. Instead, we urge that the software ecosystem surrounding cloudlets be based on the same principles of openness and end-to-end design that have made the Internet so successful.

References

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  • (2022)A deep learning based steganography integration framework for ad-hoc cloud computing data security augmentation using the V-BOINC systemJournal of Cloud Computing: Advances, Systems and Applications10.1186/s13677-022-00339-w11:1Online publication date: 21-Dec-2022
  • (2021)Immersive online biometric authentication algorithm for online guiding based on face recognition and cloud-based mobile edge computingDistributed and Parallel Databases10.1007/s10619-021-07351-041:1-2(133-154)Online publication date: 16-Jul-2021
  • (2019)Towards the Decentralised CloudACM Computing Surveys10.1145/324392951:6(1-36)Online publication date: 28-Jan-2019
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cover image IEEE Communications Magazine
IEEE Communications Magazine  Volume 53, Issue 3
March 2015
261 pages

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IEEE Press

Publication History

Published: 01 March 2015

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View all
  • (2022)A deep learning based steganography integration framework for ad-hoc cloud computing data security augmentation using the V-BOINC systemJournal of Cloud Computing: Advances, Systems and Applications10.1186/s13677-022-00339-w11:1Online publication date: 21-Dec-2022
  • (2021)Immersive online biometric authentication algorithm for online guiding based on face recognition and cloud-based mobile edge computingDistributed and Parallel Databases10.1007/s10619-021-07351-041:1-2(133-154)Online publication date: 16-Jul-2021
  • (2019)Towards the Decentralised CloudACM Computing Surveys10.1145/324392951:6(1-36)Online publication date: 28-Jan-2019
  • (2017)Opportunistic fog computing: Feasibility assessment and architectural proposal2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM)10.23919/INM.2017.7987320(510-516)Online publication date: 8-May-2017
  • (2017)Enabling service-centric networks for cloudlets using SDN2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM)10.23919/INM.2017.7987297(344-352)Online publication date: 8-May-2017
  • (2016)The tactile internet: vision, recent progress, and open challengesIEEE Communications Magazine10.1109/MCOM.2016.747094854:5(138-145)Online publication date: 17-May-2016
  • (2016)Efficient Ubiquitous Big Data Storage Strategy for Mobile Cloud Computing over HetNet2016 IEEE Global Communications Conference (GLOBECOM)10.1109/GLOCOM.2016.7841784(1-6)Online publication date: 4-Dec-2016

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