Demonstration of Reliable IoT Distributed Storage using Network Codes

TY - GEN

T1 - Demonstration of Reliable IoT Distributed Storage using Network Codes

AU - Techel, Johannes

AU - Zhao, Xiaobo

AU - Talasila, Siva Rama Krishna Prasad

AU - Zhang, Qi

AU - Lucani Rötter, Daniel Enrique

PY - 2019

Y1 - 2019

N2 - The massive increase and assimilation of Internet of Things (IoT) devices and services imposes new challenges in sensing, communication, and reliable storage of data generated by the IoT. We focus on scenarios where the IoT devices may lose connectivity for long periods of time and can only rely on other IoT devices to store data reliably. This constitutes a problem of distributed storage where lost devices cannot be replaced by others in the network due to the fact that there are no additional devices arriving to the system and that each device has a limited storage capability. Thus, state-of-the-art approaches for distributed storage in data centers are not applicable. We show that optimal policies for data repair, in terms of bandwidth and storage usage, for this novel scenario can be implemented efficiently in real-devices using network coding. We provide a translation from the theoretical results in [1] into an implementation using Raspberry Pi devices.

AB - The massive increase and assimilation of Internet of Things (IoT) devices and services imposes new challenges in sensing, communication, and reliable storage of data generated by the IoT. We focus on scenarios where the IoT devices may lose connectivity for long periods of time and can only rely on other IoT devices to store data reliably. This constitutes a problem of distributed storage where lost devices cannot be replaced by others in the network due to the fact that there are no additional devices arriving to the system and that each device has a limited storage capability. Thus, state-of-the-art approaches for distributed storage in data centers are not applicable. We show that optimal policies for data repair, in terms of bandwidth and storage usage, for this novel scenario can be implemented efficiently in real-devices using network coding. We provide a translation from the theoretical results in [1] into an implementation using Raspberry Pi devices.

UR - http://www.scopus.com/inward/record.url?scp=85063448863&partnerID=8YFLogxK

U2 - 10.1109/CCNC.2019.8651722

DO - 10.1109/CCNC.2019.8651722

M3 - Article in proceedings

BT - 2019 16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019

PB - IEEE

T2 - 16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019

Y2 - 11 January 2019 through 14 January 2019

ER -