SOSP Doctoral Workshop 2023

(SySDW '23)

 

Overview

The first Doctoral Workshop (SySDW'23) will provide a forum for PhD students to present their work and receive constructive feedback from experts in the field, as well as from peers. The workshop will also offer a platform for senior graduate students to showcase their research to other community members as a way to help their job search. Technical presentations will be augmented with keynotes and panels offering general advice and discussions for students in all stages of their career. SySDW'23 will also offer the opportunity for mentoring.

The idea is to give graduate students a chance to talk one-on-one (or, in some cases, one-on-two) about their research with outstanding researchers beyond those available at the students' universities.

Program

Monday 23/10/2023
Begin-End Subject
8:30-8:40 Welcome & Introduction
8:40-9:30 Keynote: Timothy Roscoe (ETH Zurich) -- "What to do during your PhD"
9:30-10:00 Lightning talks from graduating PhD students
10:00-10:30
10:30-11:10 Keynote: Ana Klimovic (ETH Zurich) -- "The Academic Job Search"
11:15-12:00 Keynote: John Wilkes (Google) -- "Elevator Pitches"
12:00-13:30
13:30-15:00 Panel: Career paths after PhD
  • Marios Kogias (Imperial College London and MSR)
  • Eva Kalyvianaki (Cambridge)
  • Haibo Chen (SJTU)
  • Aastha Metha (UBC)
  • Kim Keeton (Google)
  • Tianyin Xu (UIUC)
  • Natacha Crooks (UCB)
15:00-15:30
15:30-16:10 2 min lightning pitches from WiP PhD students
16:10-17:00 Round tables for WiP PhD students
17:00-17:10
17:10-18:00 Round tables (contd)

Accepted Papers

Accepted WiP Papers

  • Trustworthy Execution of Third-Party xApps in O-RAN by Jana Eisoldt (Barkhausen Institut)
  • GPU4FS: A Graphics Processor-Accelerated File System by Peter Maucher (Karlsruhe Institute of Technology) and Frank Bellosa (Karlsruhe Institute of Technology)
  • Decaying Onion Bloom Clocks for the Highly Decentralized Setting by Michael Yiqing Hu (National University of Singapore)
  • Predicting performance of arbitrary distributed applications with Network Simulation by Léo Cosseron, Martin Quinson (Univ. Rennes, Inria, CNRS, IRISA), Louis Rilling (DGA) and Matthieu Simonin (Univ. Rennes, Inria, CNRS, IRISA)
  • Towards Fearless Concurrency in Runtime Scheduling by Zhengqing Liu (Imperial College London) and Marios Kogias (Imperial College London & Azure Research)
  • Kernel-Userspace Application Co-Design for Better Performance by Kumar Kartikeya Dwivedi (EPFL)
  • Securing eBPF Extensions with Dynamic Sandboxing by Soo Yee Lim (University of British Columbia)
  • Characterizing BlueField-2 for Hardware Utilization and Performance Isolation by Yihan Yang (National University of Singapore)
  • Prefetching For Far Memory by James McMahon (University of Utah)
  • Characterizing Offloading Capabilities of SmartNICs for Optimizing Distributed Systems by Rongxin Cheng
  • Exploiting Persistent Memory for Scheduling Serverless Workloads by Amit Samanta (University of Utah)
  • Scrooge: A Cross-Cluster Communication Framework by Reginald Frank (UC Berkeley)
  • Embracing Homogeneity in Root of Trust Establishment by Neelu S. Kalani (EPFL)
  • IASO: Recovery in Leaderless Distributed Systems by Antonis Psistakis, Burak Ocalan (University of Illinois Urbana-Champaign), Fabien Chaix (FORTH), Ramnatthan Alagappan and Josep Torrellas (University of Illinois Urbana-Champaign)
  • Securing the Foundations of Trust: Formally-verified Security for TPM-based Remote Attestation by Jannik Mähn (Barkhausen Institut)
  • ChainVisor: Inferring IoT Software Bills of Materials at Scale by Abhishek Reddypalle (Purdue University)
  • DumpLSM: Machine learning based garbage collection for key-value separation in LSM-tree by Zhutao (Microsoft)
  • NIC-Accelerated Active Messaging by Md Ashfaqur Rahaman (University of Utah)
  • Hurdle: Hardware Accelerators Jump Over with Accelerated Data Transformation and Unified Fabric by Shu-Ting Wang (UC San Diego)
  • Taking down the Leader with Bordeaux: A Fair & Leaderless Byzantine Ordering Service by Micah Murray (UC Berkeley)

Accepted Research Statements

  • Enabling efficient and sustainable large-scale caching by Sara McAllister (Carnegie Mellon University)
  • Building Scalable Systems for Distributed Machine Learning by Saurabh Agarwal (University of Wisconsin-Madison)
  • Enabling Reinforcement Learning for Congestion Control via System Insights by Chen-Yu Yen (New York University)
  • Scheduling for Reduced Tail Task Latencies in Highly Utilized Datacenters by Smita Vijayakumar (University of Cambridge)
  • Data-driven performance optimizations in distributed systems by Yazhuo Zhang (Emory University)
  • Towards Converging HPC and Cloud Networks by Maksym Planeta (Barkhausen Institut)
  • Network Optimized Far Memory by Stewart Grant (UC San Diego)
  • Research Statement by Yi Xu (UC San Diego)
  • Research Statement by Si Chen (Emory University)
  • Understanding system performance and improving performance diagnosis by Xiang (Jenny) Ren (University of Toronto)
  • Alternate Filesystem and OS Architectures for Scale, Performance, and Fault Tolerance by Jing Liu (UW-Madison)
  • PriSFC: Privacy-preserving Service Function Chain Orchestration Across Domains by Neha Joshi (IIT Hyderabad)

Workshop Format

The goal of the workshop is to provide feedback and advice to PhD students in all stages of their career both on technical aspects of their research as well as career development. We expect a range of participants such as the presenters' peers, as well as senior researchers who will attend to share their expertise and provide constructive feedback. The idea is to create opportunities for students to meet with peers outside of their home institution, to get technical feedback as well as career advice from senior researchers in their field, to find out about internship and job opportunities, and to articulate their own work in a public, non-threatening forum. We encourage the participants to stay for the duration of the SOSP main conference.

We will accept two types of submissions:

  1. Work-in-progress abstract: This is intended for early PhD students who have selected a clear research topic. The students will submit a 2-page abstract (instructions below) followed by a research work presentation during the workshop.
  2. Research statement: This is intended for senior PhD students who plan to be on the job market in the next 1-2 years. Students will submit a 3-page description of past and future research. The students will then present their research plan in the form an elevator pitch presentation during the workshop.

Research topics of interest cover computing systems in the broadest sense, including work on formal foundations, as well as the design, implementation and evaluation of real systems. More specifically, research topics of interest include, but are not limited to:

  • Operating systems
  • Distributed systems
  • Cloud computing and datacenter systems
  • File and storage systems
  • Networked systems
  • Language support and runtime systems
  • Systems security and privacy
  • Dependable systems
  • Analysis, testing and verification of systems
  • Database systems and data analytics frameworks
  • Virtualization and virtualized systems
  • Systems for machine learning/machine learning for systems
  • Mobile and pervasive systems
  • Parallelism, concurrency, and multicore systems
  • Real-time, embedded, and cyber-physical systems
  • Systems for emerging hardware

Note: the workshop is not a venue for publication; there will be no published proceedings. Work-in-progress or simultaneous submissions are allowed (and in fact encouraged) from the perspective of SySDW'23.

Submission Instructions

If you would like to participate in the workshop, please submit your materials before the deadline. Submissions will receive written feedback from the PC, but the submission process is very lightweight and the main purpose is to put together the program and to match students with mentors.

Submission site: https://sysdw23.hotcrp.com/

For work-in-progress abstracts, submissions should be up to 2 pages (including title and figures but excluding references) and should only include the following sections:

  • Abstract
  • Introduction (problem statement, an overview of the proposed work, main differences from prior work)
  • Overview of the proposed work
  • Preliminary results (if applicable)
  • Work to be done (description of the planned work to address the proposed research problem)
  • Related work

Submissions will be assessed based on the importance, clarity, and relevance to SOSP of the research problem, excellent understanding of the core related work, a realistic and clear roadmap to work completion towards the PhD, and the overall quality of the submitted paper.

For research statements, submissions should be up to 3 pages (including title and figures but excluding references).

Please note that there will be no published proceedings. Submissions shall be in .pdf, 2-column, single-spaced, 10pt format.

Important Dates

  • Submission deadline: Friday, July 23rd, 2023, AoE
  • Acceptance notification: Friday, August 25th, 2023
  • Workshop: Monday, October 23rd, 2023

Organizers

Workshop Chairs

  • Aishwarya Ganesan (UIUC)
  • Sanidhya Kashyap (EPFL)
  • Lluis Vilanova (Imperial College London)

You can contact the workshop chairs at sanidhya.kashyap@epfl.ch vilanova@imperial.ac.uk or aganesn2@illinois.edu with any questions or concerns.

Web Chair

  • Yueyang Pan (EPFL)

You can contact the web chair at yueyang.pan@epfl.ch with any questions or concerns.

Program Committee

  • Ding Yuan (University of Toronto & YScope)
  • Gala Yadgar (Technion - Israel Institute of Technology)
  • Heming Cui (The University of Hong Kong (HKU))
  • Hong Xu (CUHK)
  • Jayashree Mohan (Microsoft Research)
  • Malte Schwarzkopf (Brown University)
  • Marios Kogias (Imperial College London)
  • Pedro Fonseca (Purdue University)
  • Ryan Stutsman (University of Utah)
  • Tej Chajed (VMware Research / UW-Madison)
  • Tianyin Xu (University of Illinois at Urbana-Champaign)
  • Timothy Roscoe (Mothy) (ETH Zurich)
  • Yubin Xia (Shanghai Jiao Tong University)
  • Sudarsun Kannan (Rutgers University)
  • Avani Wildani (Cloudflare / Emory University)
  • Cristina L. Abad (Escuela Superior Politecnica del Litoral, ESPOL)
  • Huaicheng Li (Virginia Tech)
  • Xingda Wei (Shanghai Jiao Tong University)
  • Ahmed Saeed (Georgia Tech)
  • Jialin Li (National University of Singapore)