IOTSC TALK SERIES——System Support to Cloud Computing: Challenges and Opportunities

智慧城市物聯網系列講座——雲計算的系統支持:挑戰和機遇

Dear Colleagues and Students,

The State Key Laboratory of Internet of Things for Smart City would like to invite you to join our “IOTSC Talk Series” on 01/03/2023 (Wednesday).
We are pleased to invite Prof. Xiaobo ZHOU as the speaker.

System Support to Cloud Computing: Challenges and Opportunities
Speaker: Prof. Xiaobo ZHOU, Distinguished Professor, State Key Laboratory of Internet of Things for Smart City

Date: 01/03/2023 (Wednesday)
Time: 16:00 – 17:00
Language: English
Venue: N21-5007 (Exhibition Hall)

Abstract:
Cloud computing systems face the challenges of efficiently hosting a variety of heterogeneous workloads on shared and heterogeneous hardware infrastructure. Data intensive scale-out applications often suffer from severe performance degradation and inefficient resource utilization in multi-tenant cloud systems, largely because of performance interference, contention of shared resources, and importantly, semantic gaps between applications and the underlying computing systems.

This talk will discuss non-invasive cluster memory management and scheduling techniques. It features three technical work, BIG-C, a container-based resource management framework for data-intensive cluster computing; Hermes, a fast memory allocation mechanism implemented in Glibc that adaptively reserves memory for latency-critical services; Holmes, a user-space approach to SMT interference diagnosis and adaptive CPU scheduling that utilizes system-level performance counters to identify, quantify, and mitigate performance interference. The talk will be concluded with perspectives on emerging cloud system research.

Speaker’s Bio:
Prof. Xiaobo ZHOU is currently a Distinguished Professor of IOTSC/FST, University of Macau. His research lies broadly in Computer Network Systems, specifically, Cloud Computing, Distributed Systems, ML Systems, BigData Parallel Processing, and Scalable Internet Services. He has served as a General/Program Chair for about ten IEEE/ACM international conferences. He has supervised over a dozen of PhD graduates who are tenured professor in University of Texas, Scientist in Argonne National Lab, Associate Dean of Wuhan University, and R&D in Microsoft, Meta, Nvidia, and Amazon. He currently serves as the Chair of IEEE Technical Community on Distributed Processing.

For enquiries: Tel: 8822 9141
Email: shirleyfong@um.edu.mo

Best Regards,
State Key Laboratory of Internet of Things for Smart City