Service Discovery Mechanisms in Container Environments

Carlos Rodriguez; Priya Sharma; Mehmet Kaya; Sophie Dubois

doi:10.2805/ojsdemo.151

Authors

Carlos Rodriguez University of Barcelona, Spain 0000-11510-23020-34530
Priya Sharma Indian Institute of Technology Delhi, India 0000-11511-23022-34533
Mehmet Kaya Hacettepe University, Turkey 0000-11512-23024-34536
Sophie Dubois Sorbonne University, France 0000-11513-23026-34539

10.2805/ojsdemo.151

Abstract

This paper presents a comprehensive analysis of this research area in modern applications. We develop a comprehensive framework that ensures improved performance, enhanced reliability, and better scalability. The proposed system utilizes cutting-edge methods to automate key processes. Evaluation results show that our approach achieves 34% improvement while maintaining system performance.

Keywords:

blockchain distributed systems cryptography security smart contracts

References

Smith, J., & Brown, A. (2018). Deep learning applications in urban computing. Journal of Smart Cities, 15(3), 234-251.

Wang, L., Chen, H., & Liu, X. (2017). Energy optimization algorithms for intelligent buildings. Energy and Buildings, 142, 45-58.

García, M., Rodriguez, P., & Martinez, S. (2018). Sustainable urban development: A comprehensive review. Sustainability Science, 13(2), 189-205.

Tanaka, K., & Yamamoto, H. (2016). Smart grid technologies and renewable energy integration. IEEE Transactions on Smart Grid, 7(4), 1892-1901.

Anderson, R., Williams, T., & Davis, M. (2017). Machine learning for demand response systems. Applied Energy, 201, 112-125.

Öztürk, A., & Demir, B. (2018). IoT-based energy monitoring systems. Turkish Journal of Electrical Engineering, 26(3), 1456-1470.

Kim, S., Park, J., & Lee, H. (2017). Predictive analytics for smart city infrastructure. International Journal of Information Management, 37(6), 567-578.

Mueller, F., Schmidt, W., & Weber, K. (2016). Urban energy systems modeling: State of the art. Energy Policy, 96, 645-657.

Patel, R., Sharma, V., & Gupta, A. (2018). Renewable energy forecasting using neural networks. Renewable Energy, 120, 89-102.

Johnson, M., & Thompson, E. (2017). Building automation systems: A review. Automation in Construction, 75, 1-12.

Li, W., Zhang, Y., & Huang, Z. (2018). Data-driven approaches for urban planning. Cities, 78, 156-168.

Fernandez, C., Lopez, A., & Sanchez, J. (2016). Smart metering data analytics. IEEE Access, 4, 3456-3468.

Nakamura, T., & Suzuki, M. (2017). Energy storage systems for smart grids. Journal of Power Sources, 352, 238-249.

Brown, D., Miller, S., & Wilson, J. (2018). Electric vehicle integration in urban environments. Transportation Research Part C, 89, 234-248.

Yıldırım, E., & Kaya, N. (2017). District heating optimization using machine learning. Energy Conversion and Management, 149, 671-683.

Chen, X., Wang, M., & Zhou, L. (2016). Cloud computing for smart city applications. Future Generation Computer Systems, 62, 1-13.

O'Brien, P., Murphy, K., & Kelly, S. (2018). Urban microgrids: Design and optimization. Applied Energy, 210, 1-15.

Rossi, G., Bianchi, L., & Ferrari, M. (2017). Smart lighting systems for energy efficiency. Lighting Research & Technology, 49(8), 956-969.

Ahmed, S., Hassan, M., & Ali, K. (2018). Water-energy nexus in smart cities. Resources, Conservation and Recycling, 133, 1-12.

Petrov, I., Volkov, A., & Sokolov, D. (2016). Traffic flow prediction for energy optimization. Transportation Research Part D, 48, 201-214.

Yamada, H., & Sato, N. (2018). Hybrid renewable energy systems. Renewable and Sustainable Energy Reviews, 82, 2440-2452.

Taylor, R., & White, C. (2017). Occupancy detection for building energy management. Building and Environment, 116, 1-14.

Kowalski, M., Nowak, P., & Wiśniewski, J. (2018). Smart grid cybersecurity challenges. Computers & Security, 73, 454-466.

Santos, A., Oliveira, B., & Costa, C. (2016). Urban heat island mitigation strategies. Urban Climate, 17, 1-16.

Huang, Y., Lin, C., & Wu, T. (2017). Demand-side management in residential buildings. Energy and Buildings, 153, 96-107.

Meyer, L., Fischer, T., & Bauer, H. (2018). Energy-efficient transportation systems. Transportation Research Part A, 111, 287-301.

Singh, P., Kumar, R., & Verma, S. (2016). Solar energy integration in urban areas. Solar Energy, 136, 1-12.

Thompson, J., Harris, M., & Clark, D. (2017). Building information modeling for energy analysis. Advanced Engineering Informatics, 33, 314-326.

Çelik, M., & Arslan, H. (2018). Wind energy potential assessment. Wind Energy, 21(8), 567-580.

Robinson, A., & Evans, G. (2016). Smart city governance and policy frameworks. Government Information Quarterly, 33(3), 573-585.

Service Discovery Mechanisms in Container Environments

Authors

Abstract

Keywords:

References

Downloads

Published

Issue

Section

How to Cite

License

Similar Articles

Login

QUICK MENU

Information

Keywords

Similar Articles

Blockchain-Based Supply Chain Traceability Systems

Database Sharding Strategies for High-Availability Systems

Intrusion Prevention Systems for Cloud Infrastructure

Intelligent Tutoring Systems for Personalized Education

Knowledge Graphs for Enterprise Data Integration