ComFlex: Composable and Flexible Resource Management for the IoT

Gyeongmin Lee, Bongjun Kim, Seungbin Song, Seonyeong Heo, Hanjun Kim

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

The Internet of Things (IoT) enables new services, such as smart home and smart healthcare integrating various resources of networked devices. However, managing IoT resources is very challenging because a device may have multiple different resources and the service accesses subsets of the resources in multiple devices. To simplify the resource management, the existing IoT frameworks provide resource models and protocols for manufacturers and programmers, but their access granularity is too coarse grained causing overprivilege problems, or too fine grained causing management overheads. To avoid the overprivilege problems without the management overheads, this work proposes a new composable and flexible resource management scheme and implements its prototype compiler-runtime framework called ComFlex. The ComFlex compiler allows manufacturers to register their devices as composition of fine-grained resources by inheriting the existing interfaces of the resources, and programmers to define their own access granularity as a virtual resource that consists of the fine-grained resources of multiple devices. The ComFlex runtime supports fine-grained access control without additional overheads by mapping the fine-grained resources of the virtual resource into physical resources of different devices. To evaluate the ComFlex framework, this work implements 52 resources on 14 devices and six IoT services with ComFlex and an existing fine-grained resource management scheme. Compared to the existing scheme, the ComFlex framework supports the IoT services with 40.2% fewer lines of code and 80.9% less discovery time, without any overprivilege problem and response time delay.

Original languageEnglish
Pages (from-to)16406-16417
Number of pages12
JournalIEEE Internet of Things Journal
Volume8
Issue number22
DOIs
Publication statusPublished - 2021 Nov 15

Bibliographical note

Funding Information:
This work was supported in part by National Research Foundation of Korea (NRF) under Grant NRF2015M3C4A7065646, Grant IITP-2017-0-00195, and Grant IITP-2018- 0-01392 and in part by the Institute of Information and Communication Technology Planning and Evaluation (IITP) Funded by the Ministry of Science and ICT.

Publisher Copyright:
© 2014 IEEE.

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Information Systems
  • Hardware and Architecture
  • Computer Science Applications
  • Computer Networks and Communications

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