Exploring Computing at the Edge: A Multi-Interface System Architecture Enabled Mobile Device Cloud

Venkatraman Balasubramanian, Moavad Aloqaily, Faisal Zaman, Yaser Jararweh

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

17 Citations (Scopus)

Abstract

Today, mobile applications advancements have overcome limited device capabilities by offloading to costly public cloud. As the edge computing paradigm began to take precedence, a mobile device cloud (MDC) formed at the edge based on idle intra-device resources emerged. This is a result of a customized user-centric composition service request for a time-bound application. Herein, devices volunteer their intra-device resources for producing a compute environment in turn satisfying the needs of the consumer. Now, with the growth of device technology and the available interfaces for accessing multiple radio technologies, a new transport layer protocol called Multipath TCP was introduced in literature. This protocol enables multiple sub-flows to join for transmitting data simultaneously. However, in scenarios like formation of device clouds, there are issues pertaining to sub-flows that are involved in a device cloud composition. One such issue is the management of sub-flow buffer. As each of these sub-flows have their own respective buffering and characteristic delays, it leads to sub-optimal performance in term of buffer occupancy. Thereby, degrading the quality of the device cloud composition. To this end, we propose an OS side architecture that plays a crucial role in managing the traffic coming from different flows. We model an agent that works conservatively satisfying Kleinrock's law and show a proof of concept experiment.

Original languageEnglish
Title of host publicationProceedings of the 2018 IEEE 7th International Conference on Cloud Networking, CloudNet 2018
EditorsAkihiro Nakao , Tarik Taleb , Hideki Tode , Yoshikatsu Okazaki
Place of PublicationPiscataway, NJ, USA
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages4
ISBN (Electronic)978-153866831-3
DOIs
Publication statusPublished - 2018
Event7th IEEE International Conference on Cloud Networking, CloudNet 2018 - Tokyo, Japan
Duration: 22 Oct 201824 Oct 2018

Conference

Conference7th IEEE International Conference on Cloud Networking, CloudNet 2018
CountryJapan
CityTokyo
Period22/10/1824/10/18

Keywords

  • composition
  • Internet of Things
  • Mobile Cloud
  • Mobile Edge Computing
  • QoS
  • Sensor Network

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