Towards Offloadable and Migratable Microservices on Disaggregated Architectures: Vision, Challenges, and Research Roadmap
Xiaoyi Lu, Arjun Kashyap

TL;DR
This paper advocates for developing offloadable and migratable microservices tailored for disaggregated datacenter architectures, outlining key challenges and a research roadmap to enable efficient deployment and management.
Contribution
It introduces a research vision and roadmap for microservices on disaggregated architectures, emphasizing offloadability and migratability as critical features.
Findings
Survey of recent related work highlights importance of research
Identification of fundamental challenges in disaggregated microservices
Proposed techniques and methods for future development
Abstract
Microservice and serverless computing systems open up massive versatility and opportunity to distributed and datacenter-scale computing. In the meantime, the deployments of modern datacenter resources are moving to disaggregated architectures. With the flourishing growths from both sides, we believe this is high time to write this vision paper to propose a potential research agenda to achieve efficient deployments, management, and executions of next-generation microservices on top of the emerging disaggregated datacenter architectures. In particular, we envision a critical systems research direction of designing and developing offloadable and migratable microservices on disaggregated architectures. With this vision, we have surveyed the recent related work to demonstrate the importance and necessity of researching it. We also outline the fundamental challenges that distributed systems…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsCloud Computing and Resource Management · Software System Performance and Reliability · IoT and Edge/Fog Computing
