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Detail
Journal Article
DART: Fast and Efficient Distributed Stream Processing Framework for Internet of Things
- Authors
- Jang-Ho Choi, Junyong Park, Hwin Dol Park, Ok-gee Min
- Issue Date
- 2017-04
- Citation
- ETRI Journal, v.39, no.2, pp.1-12
- ISSN
- 1225-6463
- Publisher
- 한국전자통신연구원 (ETRI)
- Language
- English
- Type
- Journal Article
- Project Code
- 16MS4600, (ICBMS-1) Development of a Hierarchical Data Stream Analysis SW Technology for Improving the Realtime Reaction on a CoT(Cloud of Things) Environment, Ok Gee Min
- Abstract
- With the advent of the Internet-of-Things paradigm, the amount of data production has grown exponentially and the user demand for responsive consumption of data has increased significantly. Herein, we present DART, a fast and lightweight stream processing framework for the IoT environment. Because the DART framework targets a geospatially distributed environment of heterogeneous devices, the framework provides (1) an end-user tool for device registration and application authoring, (2) automatic worker node monitoring and task allocations, and (3) runtime management of user applications with fault tolerance. To maximize performance, the DART framework adopts an actor model in which applications are segmented into microtasks and assigned to an actor following a single responsibility. To prove the feasibility of the proposed framework, we implemented the DART system. We also conducted experiments to show that the system can significantly reduce computing burdens and alleviate network load by utilizing the idle resources of intermediate edge devices.
- KSP Keywords
- Application authoring, Data production, Distributed Environment, Edge devices, End-users, Fault tolerance, Idle resources, Internet of thing(IoT), IoT environment, Network load, Node monitoring
This work is distributed under the term of Korea Open Government License (KOGL)
(Type 4: : Type 1 + Commercial Use Prohibition+Change Prohibition)
(Type 4: : Type 1 + Commercial Use Prohibition+Change Prohibition)
