HBCMS: A Web-native Hierarchical Blockchain CMS for OTT – Contract-aware APIs, Edge-cache Consistency, and HTTP-level SLOs

Authors

  • Suhwan Bae Department of Computer Science & Engineering, Soongsil university, Republic of Korea
  • Jinsook Bong Baird College of General Education, Soongsil University, Republic of Korea
  • Uijin Jang Spartan SW Education Center, Soongsil University, Republic of Korea
  • Yongtae Shin School of Computer Science and Engineering, Soongsil University, Republic of Korea

DOI:

https://doi.org/10.13052/jwe1540-9589.2544

Keywords:

Blockchain, OTT, Digital Rights Management, Cross layer Verification, Merkle Root Anchoring, Web Engineering

Abstract

Over-the-top (OTT) platforms must expose metadata and digital rights from numerous content providers (CPs) through the web while maintaining low latency and verifiable integrity. This paper presents HBCMS, a hierarchical blockchain-based content management system that separates contract-aware governance in the upper layer from high-rate metadata management in CP-owned lower chains. The web layer is realized through a contract-aware API, a consistency model aligned with edge and browser caching, and HTTP-level service-level objectives (SLOs) linking blockchain verification to observable web behavior. The upper and lower chains are connected via Merkle-root anchoring, and verification proceeds through contract validation, anchor matching, and Merkle proof verification exposed as RESTful endpoints. Anchoring is modeled as a Poisson process that determines the rate required to satisfy verification windows and guides content delivery network (CDN) cache-control policies. In large-scale experiments with up to 1000 CPs, HBCMS achieved about 2.6 k transactions per second (TPS), 0.185 s end-to-end latency, and 99.4% verification success, with lower-chain queries dominating delay. These results provide reproducible guidance for API versioning, cache invalidation, and observability in scalable OTT web architectures.

Downloads

Download data is not yet available.

Author Biographies

Suhwan Bae, Department of Computer Science & Engineering, Soongsil university, Republic of Korea

Suhwan Bae received his bachelor’s degree in information and communication engineering from Dongyang Mirae University in 2016 and his master’s degree in convergence software from Soongsil University in 2018. He is currently pursuing his Ph.D. degree in computer science and engineering at Soongsil University. He served as a Lecturer at Korea Polytechnic University, Induk University, and Soongsil University, where he taught courses in computer science and information and communication technologies. His research interests include blockchain, information and communication systems, computer networks, artificial intelligence, and network security.

Jinsook Bong, Baird College of General Education, Soongsil University, Republic of Korea

Jin-Sook Bong received her M.Sc. degree in computer science and engineering from Soongsil University, Republic of Korea, in February 2005. She earned her Ph.D. in the same field from the same university in August 2019. From September 2019 to August 2023, she was a Lecturer at Hyupsung University. Between March 2021 and August 2023, she also served as an Invited Professor at the Spartan Software Education Institute, Soongsil University. Since September 2023, she has been serving as an Assistant Professor at the Baird College of General Education, Soongsil University. Her research interests include blockchain, computer networks, AI education, and general education.

Uijin Jang, Spartan SW Education Center, Soongsil University, Republic of Korea

Uijin Jang received her Ph.D. in computer science and engineering from Soongsil University, Republic of Korea, in 2010. Since 2018, she has been working at the Spartan SW Education Center at Soongsil University, Republic of Korea. Her research interests include networks, digital forensics, and DRM.

Yongtae Shin, School of Computer Science and Engineering, Soongsil University, Republic of Korea

Yongtae Shin received his Ph.D. in computer science from the University of Iowa in 1994. Since 1995, he has been serving as a Professor in the School of Computer Science and Engineering at Soongsil University, Republic of Korea. His research interests include computer networks, distributed computing, Internet protocols, and e-commerce technology.

References

PwC, Global Entertainment and Media Outlook 2025–2029, PwC, Jul. 24, 2025.

IFPI, Global Music Report 2022: State of the Industry, Int. Fed. of the Phonographic Industry, London, U.K., 2022.

W. Son, S. Kwon, S. Oh, and J.-H. Lee, “OTT service copyright management framework using ODRL within Hyperledger Fabric,” Electronics, vol. 13, no. 2, p. 336, Jan. 2024.

S. Gupta, A. Kumar, and R. Jain, “A blockchain-based platform architecture for multimedia data management,” Multimedia Tools and Applications, vol. 79, nos. 15–16, pp. 10471–10493, 2020.

Omdia, “SVOD subscriptions worldwide (forecast: 1,356 million by end-2025),” DEG Summary Page, Mar. 20, 2025.

Ampere Analysis, “Almost 40% of titles in the U.S. VoD market are now available non-exclusively; Prime Video exclusivity share 41% → 24% (Aug. 2023–Jul. 2025),” Ampere Insights, Sep. 2025. [Online]. Available: https://www.ampereanalysis.com.

Parrot Analytics, “How licensed content is Netflix’s secret weapon for low churn (licensed TV ≈ half of catalog demand, Sept. 2024),” Parrot Analytics Insight, Nov. 10, 2024. [Online]. Available: https://www.parrotanalytics.com.

R. W. Kroon, “Media and entertainment metadata governance,” Journal of Digital Media Management, vol. 12, no. 2, 2024. [Also: EIDR Use-Cases, Entertainment ID Registry].

W3C, “ODRL 2.2: Information Model and Vocabulary,” W3C Recommendation, Feb. 15, 2018. [Online]. Available: https://www.w3.org/TR/odrl-model/.

J. E. Abang et al., “Latency performance modelling in Hyperledger Fabric,” Internet of Things and Cyber-Physical Systems, 2024.

IFPI, “Global recorded music revenues grew 4.8% in 2024; streaming exceeded 69% of total; paid streaming 51.2%,” IFPI Press Release, Mar. 19, 2025.

Y. Jung, Y. Kim, and Y. Oh, Key Results of the Korea Media Panel Survey 2023, KISDI Report 23-23, Korea Information Society Development Institute (KISDI), Seoul, Republic of Korea, 2023.

Q. Chen, Z. Zhang, and H. Li, “A scalable multi-chain framework for cross-chain interoperability,” IEEE Access, vol. 12, pp. 24187–24201, Feb. 2024.

D. Liu, M. Fang, and L. Zhou, “Sharding-enhanced consensus mechanisms for decentralized networks,” IEEE Transactions on Parallel and Distributed Systems, vol. 36, no. 2, pp. 335–347, Feb. 2025.

J. Park and T. Nguyen, “Cross-chain governance: A review of interoperability and trust management,” ACM Distributed Ledger Technologies: Research and Practice, vol. 5, no. 1, pp. 1–18, Jan. 2025.

M. Nottingham and R. Fielding, HTTP Caching (RFC 9111), Internet Engineering Task Force (IETF), Jun. 2022. [Online]. Available: https://www.rfc-editor.org/rfc/rfc9111.

A. S. Pathan and R. Buyya, “A taxonomy and survey of content delivery networks,” International Journal of Network Management, vol. 15, no. 5, pp. 283–297, Sep.–Oct. 2005.

J. Laoutaris, H. Che, and C. Diot, “Inter-datacenter caching: Exploiting storage diversity in CDN architectures,” IEEE/ACM Transactions on Networking, vol. 23, no. 4, pp. 689–703, Aug. 2015.

D. Huang and L. Xu, “Dynamic cache consistency for licensed OTT content,” IEEE Access, vol. 12, pp. 114560–114572, 2024.

R. T. Fielding, Architectural Styles and the Design of Network-based Software Architectures, Ph.D. dissertation, Univ. of California, Irvine, USA, 2000.

Google SRE Team, The Site Reliability Workbook: Practical Ways to Implement SRE, O’Reilly Media, Sebastopol, CA, USA, 2018.

A. Tosic and D. Dragomirova, “Web observability metrics and their effect on perceived performance,” Journal of Web Engineering, vol. 21, no. 3, pp. 445–468, 2023.

W3C, “Encrypted Media Extensions (EME) and Media Source Extensions (MSE),” W3C Recommendation, Jan. 2023. [Online]. Available: https://www.w3.org/TR/encrypted-media/.

J. F. C. Kingman, Poisson Processes. Oxford University Press, 1993.

D. C. Montgomery, E. A. Peck, and G. G. Vining, Introduction to Linear Regression Analysis, 5th ed. Wiley, 2012.

A. Papoulis and S. U. Pillai, Probability, Random Variables, and Stochastic Processes, 4th ed. McGraw-Hill, 2002.

G. Casella and R. L. Berger, Statistical Inference, 2nd ed. Duxbury, 2002.

B. Efron and R. J. Tibshirani, An Introduction to the Bootstrap. Chapman & Hall/CRC, 1993.

Downloads

Published

2026-05-24

How to Cite

Bae, S. ., Bong, J. ., Jang, U. ., & Shin, Y. . (2026). HBCMS: A Web-native Hierarchical Blockchain CMS for OTT – Contract-aware APIs, Edge-cache Consistency, and HTTP-level SLOs. Journal of Web Engineering, 25(04), 539–582. https://doi.org/10.13052/jwe1540-9589.2544

Issue

Section

Articles