TY - GEN
T1 - Enabling fine-grained edge offloading for IoT
AU - Cozzolino, Vittorio
AU - Ding, Aaron Yi
AU - Ott, Jorg
AU - Kutscher, Dirk
N1 - Publisher Copyright:
© 2017 ACM.
PY - 2017/8/22
Y1 - 2017/8/22
N2 - In this paper we make the case for IoT edge o.oading, which strives to exploit the resources on edge computing devices by o.oading ffne-grained computation tasks from the cloud closer to the users and data generators (i.e., IoT devices).e key motive is to enhance performance, security and privacy for IoT services. Our proposal bridges the gap between cloud computing and IoT by applying a divide and conquer approach over the multi-level (cloud, edge and IoT) information pipeline. To validate the design of IoT edge o.oading, we developed a unikernel-based prototype and evaluated the system under various hardware and network conditions. Our experimentation has shown promising results and revealed the limitation of existing IoT hardware and virtualization platforms, shedding light on future research of edge computing and IoT.
AB - In this paper we make the case for IoT edge o.oading, which strives to exploit the resources on edge computing devices by o.oading ffne-grained computation tasks from the cloud closer to the users and data generators (i.e., IoT devices).e key motive is to enhance performance, security and privacy for IoT services. Our proposal bridges the gap between cloud computing and IoT by applying a divide and conquer approach over the multi-level (cloud, edge and IoT) information pipeline. To validate the design of IoT edge o.oading, we developed a unikernel-based prototype and evaluated the system under various hardware and network conditions. Our experimentation has shown promising results and revealed the limitation of existing IoT hardware and virtualization platforms, shedding light on future research of edge computing and IoT.
KW - Edge Computing
KW - IoT
KW - Virtualization
UR - http://www.scopus.com/inward/record.url?scp=85029676112&partnerID=8YFLogxK
U2 - 10.1145/3123878.3132009
DO - 10.1145/3123878.3132009
M3 - Conference contribution
AN - SCOPUS:85029676112
T3 - SIGCOMM Posters and Demos 2017 - Proceedings of the 2017 SIGCOMM Posters and Demos, Part of SIGCOMM 2017
SP - 124
EP - 126
BT - SIGCOMM Posters and Demos 2017 - Proceedings of the 2017 SIGCOMM Posters and Demos, Part of SIGCOMM 2017
PB - Association for Computing Machinery, Inc
T2 - ACM SIGCOMM 2017 Conference
Y2 - 22 August 2017 through 24 August 2017
ER -