TY - GEN
T1 - ProceThings
T2 - 22nd International Conference on Distributed Computing and Networking, ICDCN 2021
AU - Nakamura, Yugo
AU - Talusan, Jose Paolo
AU - Mizumoto, Teruhiro
AU - Suwa, Hirohiko
AU - Arakawa, Yutaka
AU - Yamaguchi, Hirozumi
AU - Yasumoto, Keiichi
N1 - Funding Information:
This work was partly supported by R & D for Trustworthy Networking for Smart and Connected Communities, Commissioned Research of National Institute of Information and Communications Technology (NICT), JSPS KAKENHI Grant Number 19H01139, and JST ACT-I.
PY - 2021/1/5
Y1 - 2021/1/5
N2 - In this paper, we propose ProceThings, a new middleware platform to provide smart community services by utilizing computational resources of IoT devices in a target community area. To realize ProceThings, we address three key challenges: (1) dynamic load balance management among numerous IoT devices; (2) distributed task assignment/execution over the IoT devices taking into account fault-Tolerance; and (3) fulfillment of a service level agreement (SLA) for each service. For (1), ProceThings employs a heuristic monitoring mechanism which hierarchically aggregates load and resource conditions from all IoT devices in the target area (or belonging to a service). For (2), ProceThings employs a cluster-based architecture where proximity IoT devices are grouped into clusters with a fail over function, where they are allocated processing tasks from user queries. For (3), ProceThings employs demand-Aware in-situ resource provisioning which dynamically predicts and assigns a sufficient amount of computational resources within the area where the service is provided to meet the SLA while preventing over-provisioning of resources. We have implemented a prototype of ProceThings running on commodity small computers consisting of Raspberry Pis and Intel NUCs and confirmed that the above mechanisms can properly work satisfying the corresponding SLAs when running smart community services.
AB - In this paper, we propose ProceThings, a new middleware platform to provide smart community services by utilizing computational resources of IoT devices in a target community area. To realize ProceThings, we address three key challenges: (1) dynamic load balance management among numerous IoT devices; (2) distributed task assignment/execution over the IoT devices taking into account fault-Tolerance; and (3) fulfillment of a service level agreement (SLA) for each service. For (1), ProceThings employs a heuristic monitoring mechanism which hierarchically aggregates load and resource conditions from all IoT devices in the target area (or belonging to a service). For (2), ProceThings employs a cluster-based architecture where proximity IoT devices are grouped into clusters with a fail over function, where they are allocated processing tasks from user queries. For (3), ProceThings employs demand-Aware in-situ resource provisioning which dynamically predicts and assigns a sufficient amount of computational resources within the area where the service is provided to meet the SLA while preventing over-provisioning of resources. We have implemented a prototype of ProceThings running on commodity small computers consisting of Raspberry Pis and Intel NUCs and confirmed that the above mechanisms can properly work satisfying the corresponding SLAs when running smart community services.
UR - http://www.scopus.com/inward/record.url?scp=85098863979&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85098863979&partnerID=8YFLogxK
U2 - 10.1145/3427477.3429275
DO - 10.1145/3427477.3429275
M3 - Conference contribution
AN - SCOPUS:85098863979
T3 - ACM International Conference Proceeding Series
SP - 116
EP - 121
BT - ICDCN 2021 - Adjunct Proceedings of the 2021 International Conference on Distributed Computing and Networking
PB - Association for Computing Machinery
Y2 - 5 January 2021 through 8 January 2021
ER -