@inproceedings{6e4010584d864142b7a4c3eb99e3955b,
title = "Next-Generation Cloud Databases: Balancing Performance, Sustainability, and Resource Management",
abstract = "This study enhances cloud database technologies for cyber-physical systems and IoT applications, addressing four key challenges: memory constraints, environmental impact, query performance, and serverless resource management. We introduce REMON, a network-based solution extending server memory capacity, and Krysha, a framework optimizing serverless microservices. Our research also includes an environmental impact assessment of analytical databases and explores hardware-conscious query tuning. Through extensive experiments, we demonstrate significant improvements in efficiency, scalability, and sustainability of cloud database systems. These advancements offer valuable solutions for managing large-scale data in complex digital ecosystems, with implications for both performance optimization and environmental considerations in cloud computing.",
keywords = "cloud computing, databases, query tuning, resource allocation, sustainability",
author = "Michail Bachras and Sofia Tijanic and Shiquan Zhang and Yuqiu Zhang and Bryan Yan and Piu, {Lee Wing} and Jacobsen, {Hans Arno}",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 34th Annual International Conference on Collaborative Advances in Software and Computing, CASCON 2024 ; Conference date: 11-11-2024 Through 13-11-2024",
year = "2024",
doi = "10.1109/CASCON62161.2024.10837926",
language = "English",
series = "CASCON 2024 Proceedings - 34th Annual International Conference on Collaborative Advances in Software and Computing",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Paria Shirani and Khosro Salmani",
booktitle = "CASCON 2024 Proceedings - 34th Annual International Conference on Collaborative Advances in Software and Computing",
}