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Hierarchical Service Binding and Resource Allocation Design for Context-based IoT Service in MEC Networks

상황인지 기반 IoT-MEC 서비스를 위한 계층적 서비스 바인딩 및 자원관리 구조 설계

  • Received : 2021.10.12
  • Accepted : 2021.12.07
  • Published : 2021.12.31

Abstract

In this paper, we presents a new service binding and resource management model for context based services in mobile edge computing (MEC) networks. The proposed control is composed of two layers: MEC service bindng control layer (MCL) and user context control layer (UCL). The MCL manages service binding construction, resource allocation, and service policy construction from a system point of view; and the UCL manages real-time service adaptation using meta-objects. Through simulations, we confirmed that the proposed control offers enhanced throughput and content transfer time when it is compared to the legacy computing and control models. The proposed control model can be employed as a key component for the context based various internet-of-things (IoT) services in MEC environments.

본 논문에서는 mobile edge computing (MEC) 네트워크에서 컨텍스트 기반 IoT 서비스를 위한 새로운 서비스 바인딩 및 리소스 관리 모델을 제시한다. 제안하는 제어는 MEC 서비스 바인딩 제어 계층 (MCL)과 사용자 컨텍스트 제어 계층 (UCL)의 두 가지 계층으로 구성되며, MCL은 시스템 관점에서 서비스 바인딩 구성, 리소스 할당 및 서비스 정책 구성을 관리하고, UCL은 사용자 관점에서 메타 객체를 사용하여 실시간 서비스 적응을 관리한다. 본 논문에서 제안하는 제어 모델은, 실험을 통해 기존 컴퓨팅 모델과 비교할 때 향상된 정보 처리량과 콘텐츠 전송 시간을 제공함을 확인했다. 제안하는 제어 모델은 차세데 MEC 환경에서 컨텍스트 기반의 다양한 사물인터넷 서비스의 핵심 구성 요소로 적용될 수 있다.

Keywords

Acknowledgement

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean Government (Ministry of Science and ICT) under Grants 2020R1F1A1069119.

References

  1. R. Gupta, V. Sekhri, and A. Somani, "CompuP2P: An architecture for internet computing using peer-to-peer networks," IEEE Trans. Parallel and Distributed Systems, vol.17, no.11, pp.1306-1320, 2006. DOI: 10.1109/TPDS.2006.149
  2. T. A. Pham, X. Li, G. Cong, Z. Zhang, "A General Recommendation Model for Heterogeneous Networks," IEEE Trans. on Knowledge and Data Engineering, PrePrints, 2016. DOI: 10.1109/TKDE.2016.2601091.
  3. S. M. Riazul Islam, M. N. Uddin, and K. S. Kwak, "The IoT: Exciting Possibilities for Bettering Lives: Special application scenarios," IEEE Consumer Electronics Magazine, vol.5, no.2, pp.49-57, 2016. DOI: 10.1109/MCE.2016.2516079
  4. F. Hao, T. Lakshman, S. Mukherjee, and H. Song, "Enhancing dynamic cloud-based services using network virtualization," ACM Sigcomm. Computer Communication Review, vol.40, no.1, pp.67-74, 2010. DOI: 10.1145/1592648.1592655
  5. D. Sanchez, A. Martin, D. Proserpio, and P. Cabarcos, "Media cloud: an open cloud computing middleware for content management," IEEE Trans. Consumer Electronics, vol.57, no.2, pp.970-978, 2011. https://doi.org/10.1109/TCE.2011.5955247
  6. W. Zhu, C. Luo, J. Wang, and S. Li, "Multimedia cloud computing: an emerging technology for providing multimedia services and applications," IEEE Signal Processing Magazine, vol.28, no.3, pp.59-69, 2011. DOI: 10.1007/978-3-030-62124-7_18
  7. T. Xing, and D. Huang, "MobiCloud: A geo-distributed mobile cloud computing platform," IEEE International Conference on Systems Virtualization Management, pp.164-168, 2012.
  8. R. Haw, M. Alarm, and C. Hong, "A context-aware content delivery framework for QoS in mobile cloud," IEEE Network Operations and Management Symposium, pp.1-6, 2014. DOI: 10.1109/APNOMS.2014.6996607
  9. K. Mitra, S. Saguna, C. Ahlund, and D. Lulea, "A mobility management system for mobile cloud computing," IEEE Wireless Communications and Networking Conference, pp.1608-1613, 2015. DOI: 10.1109/WCNC.2015.7127708
  10. B. Zhou, A. Dastjerdi, R. Calheiros, S. Srirama, and R. Buyya, "mCloud: A context-aware offloading framework for heterogeneous mobile cloud," IEEE Trans. on Services Computing, issue.99, pp.1-1, 2015. DOI: 10.1109/TSC.2015.2511002
  11. J. Zhou, and Z. Zhang, "The context awareness architecture in mobile cloud computing," IEEE International Symposium on Computational Intelligence and Design, pp.302-305, 2012. DOI: 10.1109/ISCID.2012.83
  12. G. Contreras, J. Garrido, S. Diaz, C. Dominguez, "A context-aware architecture supporting service availability in mobile cloud computing," IEEE Trans. on Services Computing, no.99, pp.1-1, 2016. DOI: 10.1109/TSC.2016.2540629
  13. Object Management Group, "Object request broker," CORBA Specification 3.2, 2011.
  14. A. Wollrath, R. Riggs, and J. Waldo, "A distributed object model for the Java system," Proceedings of the USENIX Conference on Object-Oriented Technologies, pp.219-232, 1996.
  15. Open Group, "Telecommunications information networking architecture," Distributed Computing Environment, 2005.
  16. P. Linington, Z. Milosevic, A. Tanaka, and A. Vallecillo, "Building enterprise systems with ODP: An Introduction to Open Distributed Processing," Chapman & Hall/CRC Press, 2011.
  17. P. Maes, "Concepts and experiments in computational reflection," Conference on Object-Oriented Programming Systems, Languages and Applications, pp.147-155, 1987.
  18. S. Boyd, and L. Vandenberghe, "Convex Optimization," Cambridge University Press, 2004.