TY - GEN
T1 - Right-provisioned IoT edge computing
T2 - 29th Great Lakes Symposium on VLSI, GLSVLSI 2019
AU - Adegbija, Tosiron
AU - Lysecky, Roman L
AU - Kumar, Vinu Vijay
N1 - Publisher Copyright:
© 2019 Owner/Author.
PY - 2019/5/13
Y1 - 2019/5/13
N2 - Edge computing on the Internet of Things (IoT) is an increasingly popular paradigm in which computation is moved closer to the data source (i.e., edge devices). Edge computing mitigates the overheads of cloud-based computing arising from increased response time, communication bandwidth, data security and privacy, energy consumption, etc. However, given the potentially stringent resource constraints and functional requirements of emerging IoT devices, edge computing must neither be over-or under-provisioned for its stated purpose. In this paper, we present an overview of the problem of right-provisioned IoT edge computing, wherein IoT devices are equipped with resources that are 'just enough,' even when 'just enough' may not be clearly defined at design time. We highlight a few research directions and key challenges that must be addressed to enable right-provisioned IoT edge computing.
AB - Edge computing on the Internet of Things (IoT) is an increasingly popular paradigm in which computation is moved closer to the data source (i.e., edge devices). Edge computing mitigates the overheads of cloud-based computing arising from increased response time, communication bandwidth, data security and privacy, energy consumption, etc. However, given the potentially stringent resource constraints and functional requirements of emerging IoT devices, edge computing must neither be over-or under-provisioned for its stated purpose. In this paper, we present an overview of the problem of right-provisioned IoT edge computing, wherein IoT devices are equipped with resources that are 'just enough,' even when 'just enough' may not be clearly defined at design time. We highlight a few research directions and key challenges that must be addressed to enable right-provisioned IoT edge computing.
KW - Adaptable computing
KW - Computation migration
KW - Edge computing
KW - High-level synthesis
KW - Internet of things
KW - Iot security
KW - Low-power embedded systems
KW - Memory hierarchy
KW - Right-provisioned
UR - http://www.scopus.com/inward/record.url?scp=85082978322&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85082978322&partnerID=8YFLogxK
U2 - 10.1145/3299874.3319338
DO - 10.1145/3299874.3319338
M3 - Conference contribution
AN - SCOPUS:85082978322
T3 - Proceedings of the ACM Great Lakes Symposium on VLSI, GLSVLSI
SP - 531
EP - 536
BT - GLSVLSI 2019 - Proceedings of the 2019 Great Lakes Symposium on VLSI
PB - Association for Computing Machinery
Y2 - 9 May 2019 through 11 May 2019
ER -