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Runyu Jin
Runyu Jin
Arizona State University
Verified email at asu.edu
Title
Cited by
Cited by
Year
{SmartDedup}: Optimizing Deduplication for Resource-constrained Devices
Q Yang, R Jin, M Zhao
2019 USENIX Annual Technical Conference (USENIX ATC 19), 633-646, 2019
282019
Performance evaluation on cxl-enabled hybrid memory pool
Q Yang, R Jin, B Davis, D Inupakutika, M Zhao
2022 IEEE International Conference on Networking, Architecture and Storage …, 2022
102022
Edgebench: a workflow-based benchmark for edge computing
Q Yang, R Jin, N Gandhi, X Ge, HA Khouzani, M Zhao
Future of Information and Communication Conference, 150-170, 2024
92024
Is faas suitable for edge computing
R Jin, Q Yang, M Zhao
USENIX Association, June, 2020
42020
EdgeFaaS: A function-based framework for edge computing
R Jin
Arizona State University, 2022
22022
AIOps Essential to unified resiliency management in data lakehouses
R Jin, P Muench, V Deenadhayalan, B Hatfield
2022 IEEE International Conference on Big Data (Big Data), 4777-4781, 2022
12022
Baking Disaster-Proof Kubernetes Applications with Efficient Recipes
R Jin, P Muench, T Janssen, B Hatfield, V Deenadhayalan
Companion of the 15th ACM/SPEC International Conference on Performance …, 2024
2024
AdaCache: A Disaggregated Cache System with Adaptive Block Size for Cloud Block Storage
Q Yang, R Jin, N Fan, D Inupakutika, B Davis, M Zhao
2023 IEEE 16th International Conference on Cloud Computing (CLOUD), 348-359, 2023
2023
When Edge Meets FaaS: Opportunities and Challenges
R Jin, Q Yang, M Zhao
2023 IEEE International Conference on Edge Computing and Communications …, 2023
2023
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