Differences

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--- projects:caas [2024/06/28 20:40] – raju
+++ projects:caas [2024/06/30 18:54] (current) – [Support] raju
@@ Line 21: / Line 21: @@
   * Dr. Liana Valdes (PhD graduate)
+  * Dr. Qirui Yang (PhD graduate)
   * Alexis Gonzales (PhD student)
-  * Pratik Poudel (PhD student)
+  * Pratik Poudel (PhD student)
-  * Qirui Yang (PhD student)
   * Kritshekhar Jha (PhD student)
   * Emam Hossain (PhD student)
@@ Line 61: / Line 61: @@
   * Maruf, Adnan and Carlson, Daniel and Ghosh, Ashikee and Saha, Manoj and Bhimani, Janki and Rangaswami, Raju, Allocation Policies Matter for Hybrid Memory Systems (Poster and Extended Abstract). IEEE International Conference on High-Performance Parallel and Distributed Computing 2023.
   * Steven Lyons, Raju Rangaswami,  Finding optimal non-datapath caching strategies via network flow. Theoretical computer science, 2023.
+  * Q. Yang, R. Jin, AdaCache: A Disaggregated Cache System with Adaptive Block Size for Cloud Block Storage.  IEEE International Conference on Cloud Computing 2023.
   * Pratik Poudel. Storage System Trace Characterization, Compression, and Synthesis using Machine Learning – An Extended Abstract. International Conference on Principles of Advanced Discrete Simulation (PADS) 2023.
-  * Lyons, Steven, Raju Rangaswami, and Ning Xie, Finding optimal non-datapath caching strategies via network flow, Journal of Theoretical Computer Science (2023).
+  * Lyons, Steven, Raju Rangaswami, and Ning Xie, Finding optimal non-datapath caching strategies via network flow, Journal of Theoretical Computer Science 2023.
   * Zhao, Ming, Kritshekhar Jha, and Sungho Hong, GPU-enabled function-as-a-service for machine learning inference, IEEE International Parallel and Distributed Processing Symposium (IPDPS) 2023.
-  * Lixi Zhou, Jiaqing Chen, Amitabh Das, Hong Min, Lei Yu, Ming Zhao, and Jia Zou. 2022. Serving deep learning models with deduplication from relational databases. Proc. VLDB Endow. 15, 10 (June 2022).
+  * Lixi Zhou, Jiaqing Chen, Amitabh Das, Hong Min, Lei Yu, Ming Zhao, and Jia Zou, Serving deep learning models with deduplication from relational databases. Proc. VLDB Endow. 15, 10 (June 2022).
   * Q. Yang, R. Jin, B. Davis, D. Inupakutika and M. Zhao, Performance Evaluation on CXL-enabled Hybrid Memory Pool, 2022 IEEE International Conference on Networking, Architecture and Storage (NAS) 2022,
   *  Jason Liu, Simulus: Easy Breezy Simulation in Python, Winter Simulation Conference (WSC) 2020.
@@ Line 72: / Line 73: @@
   * Learning Cache Replacement with CACHEUS, Liana V. Rodriguez, Farzana Yusuf, Steven Lyons, Eysler Paz, Raju Rangaswami, and Jason Liu, Ming Zhao, Giri Narasimhan, USENIX File and Storage Technologies (FAST), February, 2021.
   * Zou, J., Zhao, M., Shi, J., & Wang, C., Watson: A workflow-based data storage optimizer for analytics. In 36th Intl. Conf. on Massive Storage Systems and Technology 2020.
+===== Public Software =====
+  * [[https://github.com/sylab/cacheus|Sources for the paper titled "Learning Cache Replacement with CACHEUS", Proceed
+ings of USENIX FAST 2021.]]
 ====== Support ======
-This work has been supported by the National Science Foundation award [[https://www.nsf.gov/awardsearch/showAward?AWD_ID=1956229&HistoricalAwards=false|CNS-1956229]].
+This work has been supported by the National Science Foundation awards [[https://www.nsf.gov/awardsearch/showAward?AWD_ID=1956229&HistoricalAwards=false|CNS-1956229]] and [[https://www.nsf.gov/awardsearch/showAward?AWD_ID=1955593&HistoricalAwards=false|CNS-1955593|]].