Distributed resource allocation in blockchain-based video streaming systems with mobile edge computing
Abstract
Blockchain-based video streaming systems aim to build decentralized peer-to-peer networks with flexible monetization mechanisms for video streaming services. On these blockchain-based platforms, video transcoding, which is computationally intensive and time-consuming, is still a major challenge. Meanwhile, the block size of the underlying blockchain has significant impacts on the system performance. Therefore, this paper proposes a novel blockchain-based framework with an adaptive block size for video streaming with mobile edge computing (MEC). First, we design an incentive mechanism to facilitate collaboration among content creators, video transcoders, and consumers. In addition, we present a block size adaptation scheme for blockchain-based video streaming. Moreover, we consider two offloading modes, i.e., offloading to the nearby MEC nodes or a group of device-to-device (D2D) users, to avoid the overload of MEC nodes. Then, we formulate the issues of resource allocation, scheduling of offloading, and adaptive block size as an optimization problem. We employ a low-complexity alternating direction method of the multipliers-based algorithm to solve the problem in a distributed fashion. Simulation results are presented to show the effectiveness of the proposed scheme.
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Centralized architectures for spectrum sharing add single-point-of-failure bottlenecks when the authority is attacked or out of service, leading to disruption of the entire spectrum sharing network.
“Importantly, the use of such centralized architectures also adds single-of-failure bottlenecks when the authority is attacked or out of services, which leads to the disruption of the entire spectrum sharing network [147].”
From Blockchain for 5G and beyond networks: A state of the art survey (2020) · cites this paper as [147]
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- Authors
- Liu, M., Yu, F. R., Teng, Y., Leung, V. C. M., & Song, M.
- Affiliations
- Beijing University of Posts and Telecommunications (CN)
- Carleton University (CA)
- University of British Columbia (CA)
- Venue
- IEEE Transactions on Wireless Communications
- Published
- 2019-01
- Volume
- 18
- Issue
- 1
- Pages
- 695-708
- ISSN
- 1536-1276 (ISSN-L)
- 1558-2248
- OpenAlex
- W2905357302
- Cited by
- 233
- References
- 27
- Citations by year
- 2026: 6 · 2025: 10 · 2024: 18 · 2023: 36 · 2022: 42 · 2021: 37 · 2020: 52 · 2019: 32
- FWCI
- 18.73
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE Transactions on Wireless Communications (publishedVersion)
- Funders
- National Key R&D Program of China (2018YFB1201500)
- National Natural Science Foundation of China (61771072, 61427801)
- Natural Science Foundation of Beijing Municipality (L171011)
- Beijing Major Science and Technology Special Projects (Z181100003118012)
- China Scholarship Council (201706470059)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Physical Sciences › Computer Science › Computer Networks and Communications › Caching and Content Delivery
- Keywords
- mobile edge computing, video transcoding, adaptive block size, incentive mechanisms, device-to-device communication, distributed resource allocation, alternating direction method of multipliers, peer-to-peer streaming
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