Paper abstracts and proceedings front matter are available to everyone now. However, with the increasingly speedy transactions and queries thanks to large memory and fast interconnect, commodity HTAP systems have to make a tradeoff between data freshness and performance degradation. The 15th USENIX Symposium on Operating Systems Design and Implementation seeks to present innovative, exciting research in computer systems. Our further evaluation on 38 CVEs from 10 commonly-used programs shows that SanRazor reduced checks suffice to detect at least 33 out of the 38 CVEs. For more details on the submission process, and for templates to use with LaTeX, Word, etc., authors should consult the detailed submission requirements. We conclude with a discussion of additional techniques for improving the allocator development process and potential optimization strategies for future memory allocators. The key insight guiding our design is computation separation. This is unfortunate because good OS design has always been driven by the underlying hardware, and right now that hardware is almost unrecognizable from ten years ago, let alone from the 1960s when Unix was written. We build Polyjuice based on our learning framework and evaluate it against several existing algorithms. The NVMe zoned namespace (ZNS) is emerging as a new storage interface, where the logical address space is divided into fixed-sized zones, and each zone must be written sequentially for flash-memory-friendly access. Author Response Period However, the existing one-size-fits-all GNN implementations are insufficient to catch up with the evolving GNN architectures, the ever-increasing graph size, and the diverse node embedding dimensionality. The symposium emphasizes innovative research as well as quantified or insightful experiences in systems design and implementation. The conference papers and full proceedings are available to registered attendees now and will be available to everyone beginning Wednesday, July 14, 2021. Differential privacy (DP) enables model training with a guaranteed bound on this leakage. Welcome to the 15th USENIX Symposium on Operating Systems Design and Implementation (OSDI '21) submissions site. NrOS is primarily constructed as a simple, sequential kernel with no concurrency, making it easier to develop and reason about its correctness. We present selective profiling, a technique that locates data locality problems with low-enough overhead that is suitable for production use. Typically, monolithic kernels share state across cores and rely on one-off synchronization patterns that are specialized for each kernel structure or subsystem. Indeed, it is a prime target for powerful adversaries such as nation states. An evaluation of Addra on a cluster of 80 machines on AWS demonstrates that it can serve 32K users with a 99-th percentile message latency of 726 msa 7 improvement over a prior system for text messaging in the same threat model. Call for Papers. We describe PrivateKube, an extension to the popular Kubernetes datacenter orchestrator that adds privacy as a new type of resource to be managed alongside other traditional compute resources, such as CPU, GPU, and memory. Based on the observation that real-world workloads always feature skewed access patterns, Nap introduces a NUMA-aware layer (NAL) on the top of existing concurrent PM indexes, and steers accesses to hot items to this layer. We describe Fluffy, a multi-transaction differential fuzzer for finding consensus bugs in Ethereum. OSDI is "a premier forum for discussing the design, implementation, and implications of systems software." A total of six research papers from the department were accepted to the . Our approach outperforms existing file systems on a block SSD by a wide margin 6.2 on average for metadata-intensive benchmarks. The blockchain community considers this hard fork the greatest challenge since the infamous 2016 DAO hack. OSDI '21 - HotCRP.com Log search and log archiving, despite being critical problems, are mutually exclusive. Prepublication versions of the accepted papers from the summer submission deadline are available below. Each new model trained with DP increases the bound on data leakage and can be seen as consuming part of a global privacy budget that should not be exceeded. Fortunately, we observe that the backups for high availability in modern distributed OLTP systems can be retrofitted to bridge the analytical queries and transactions in HTAP workloads. Evaluation on a four-node machine with Optane DC Persistent Memory shows that Nap can improve the throughput by up to 2.3 and 1.56 under write-intensive and read-intensive workloads, respectively. Hence, CLP enables efficient search and analytics on archived logs, something that was impossible without it. sosp ACM Symposium on Operating Systems Principles. There are two major GNN training obstacles: 1) it relies on high-end servers with many GPUs which are expensive to purchase and maintain, and 2) limited memory on GPUs cannot scale to today's billion-edge graphs. We first introduce two new hardware primitives: 1) Guarded Page Table (GPT), which protects page table pages to support page-level secure memory isolation; 2) Mountable Merkle Tree (MMT), which supports scalable integrity protection for secure memory. A glance at this year's OSDI program shows that Operating Systems are a small niche topic for this conference, not even meriting their own full session. HotNets provides a venue for discussing innovative ideas and for debating future research agendas in networking. Starting with small invariant formulas and strongest possible invariants avoids large SMT queries, improving SMT solver performance. A significant obstacle to using SC for practical applications is the memory overhead of the underlying cryptography. The device then "calibrates" its interrupts to completions of latency-sensitive requests. Oort Accepted to Appear at OSDI'2021 | Mosharaf Chowdhury Weak Links in Authentication Chains: A Large-scale Analysis of Email Sender Spoofing Attacks Here, we focus on hugepage coverage. As a member of ACCT, I have served two years on the bylaws and governance committee and two years on the finance and audit committee. This yielded 6% fewer TLB miss stalls, and 26% reduction in memory wasted due to fragmentation. To achieve low overhead, selective profiling gathers runtime execution information selectively and incrementally. These scripts often make pages slow to load, partly due to a fundamental inefficiency in how browsers process JavaScript content: browsers make it easy for web developers to reason about page state by serially executing all scripts on any frame in a page, but as a result, fail to leverage the multiple CPU cores that are readily available even on low-end phones. The co-chairs may then share that paper with the workshops organizers and discuss it with them. We compare Marius against two state-of-the-art industrial systems on a diverse array of benchmarks. Furthermore, to enable automatic runtime optimization, GNNAdvisor incorporates a lightweight analytical model for an effective design parameter search. Distributed Trust: Is Blockchain the answer? The biennial ACM Symposium on Operating Systems Principles is the world's premier forum for researchers, developers, programmers, and teachers of computer systems technology. A scientific paper consists of a constellation of artifacts that extend beyond the document itself: software, hardware, evaluation data and documentation, raw survey results, mechanized proofs, models, test suites, benchmarks, and so on. OSDI'21 accepted 31 papers and 26 papers participated in the AE, a significant increase in the participate ratio: 84%, compared to OSDI'20 (70%) and SOSP'19 (61%). We discuss the design and implementation of TEMERAIRE including strategies for hugepage-aware memory layouts to maximize hugepage coverage and to minimize fragmentation overheads. His work has included the Barrelfish multikernel research OS, as well as work on distributed stream processors, and using formal specifications to describe the hardware/software interfaces of modern computer systems. DeSearch uses trusted hardware to build a network of workers that execute a pipeline of small search engine tasks (crawl, index, aggregate, rank, query). Petuum Awarded OSDI 2021 Best Paper for Goodput-Optimized Deep Learning If you have any questions about conflicts, please contact the program co-chairs. Of the 26 submitted artifacts: 26 artifacts received the Artifacts Available badge (100%). This post is for recording some notes from a few OSDI'21 papers that I got fun. Her robot soccer teams have been RoboCup world champions several times, and the CoBot mobile robots have autonomously navigated for more than 1,000km in university buildings. Devices employ adaptive interrupt coalescing heuristics that try to balance between these opposing goals. This paper presents Zeph, a system that enables users to set privacy preferences on how their data can be shared and processed. The wire-to-wire RPC response time through the nanoPU is just 69ns, an order of magnitude quicker than the best-of-breed, low latency, commercial NICs. However, Addra improves message latency in this architecture, which is a key performance metric for voice calls. PET then automatically corrects results to restore full equivalence. In this paper, we show how to address this inefficiency without requiring pages to be rewritten or browsers to be modified. PDF Why Has Personality Psychology Played an Outsized Role in the Consensus bugs are extremely rare but can be exploited for network split and theft, which cause reliability and security-critical issues in the Ethereum ecosystem. . Furthermore, such performance can be achieved without any modification in applications, network hardware, kernel CPU schedulers and/or kernel network stack. The OSDI '21 program co-chairs have agreed not to submit their work to OSDI '21. Federated Learning (FL) is an emerging direction in distributed machine learning (ML) that enables in-situ model training and testing on edge data. Han Meng - Research Assistant - Michigan State University | LinkedIn (Jan 2019) Our REPT paper won a best paper at OSDI'18 (Oct 2018) I will serve in the SOSP'19 PC. A graph neural network (GNN) enables deep learning on structured graph data. Foreshadow was chosen as an IEEE Micro Top Pick. As a result, data characteristics and device capabilities vary widely across clients. For instance, FAST 21 and NSDI 21 have author-notification dates after the OSDI 21 abstract-registration deadline. (Oct 2018) Awarded an Intel Faculty Grant for Research on automated performance optimization (Sep. 2018) Our paper on Foreshadow is accepted to appear at USENIX Security. Poor data locality hurts an application's performance. Haojie Wang, Jidong Zhai, Mingyu Gao, Zixuan Ma, Shizhi Tang, and Liyan Zheng, Tsinghua University; Yuanzhi Li, Carnegie Mellon University; Kaiyuan Rong and Yuanyong Chen, Tsinghua University; Zhihao Jia, Carnegie Mellon University and Facebook. Collaboration: You have a collaboration on a project, publication, grant proposal, program co-chairship, or editorship within the past two years (December 2018 through March 2021). This fast path contains programmable hardware support for low latency transport and congestion control as well as hardware support for efficient load balancing of RPCs to cores. We argue that a key-value interface between a file system and an SSD is superior to the legacy block interface by presenting KEVIN. Based on this observation, P3 proposes a new approach for distributed GNN training. HotNets 2021: Call for Papers - sigcomm Second, GNNAdvisor implements a novel and highly-efficient 2D workload management tailored for GNN computation to improve GPU utilization and performance under different application settings. Overall, the OSDI PC accepted 31 out of 165 submissions. Based on the observation that invariants are often concise in practice, DistAI starts with small invariant formulas and enumerates all strongest possible invariants that hold for all samples. We present the results of a 1% experiment at fleet scale as well as the longitudinal rollout in Googles warehouse scale computers. Submissions violating the detailed formatting and anonymization rules will not be considered for review. Existing decentralized systems like Steemit, OpenBazaar, and the growing number of blockchain apps provide alternatives to existing services. will work with the steering committee to ensure that the symposium program will accommodate presentations for all accepted papers. The 15th USENIX Symposium on Operating Systems Design and Implementation (OSDI '21) will take place as a virtual event on July 1416, 2021. We present the nanoPU, a new NIC-CPU co-design to accelerate an increasingly pervasive class of datacenter applications: those that utilize many small Remote Procedure Calls (RPCs) with very short (s-scale) processing times. Authors must limit their responses to (a) correcting factual errors in the reviews or (b) directly addressing questions posed by reviewers. This paper presents Dorylus: a distributed system for training GNNs. Attaching supplementary material is optional; if your paper says that you have source code or formal proofs, you need not attach them to convince the PC of their existence. Submitted November 12, 2021 Accepted January 20, 2022. Research Impact Score 9.24. . Hence, kernel developers are constantly refining synchronization within OS kernels to improve scalability at the risk of introducing subtle bugs. To evaluate the security guarantees of Storm, we build a formally verified reference implementation using the Labeled IO (LIO) IFC framework. Under different configurations of TPC-C and TPC-E, Polyjuice can achieve throughput numbers higher than the best of existing algorithms by 15% to 56%. Such centralized engines are in a perfect position to censor content and violate users privacy, undermining some of the key tenets behind decentralization. Lifting predicates and crash framing make the specification easy to use for developers, and logically atomic crash specifications allow for modular reasoning in GoJournal, making the proof tractable despite complex concurrency and crash interleavings. Most existing schedulers expect users to specify the number of resources for each job, often leading to inefficient resource use. Concurrency control algorithms are key determinants of the performance of in-memory databases. Many application domains can benefit from hybrid transaction/analytical processing (HTAP) by executing queries on real-time datasets produced by concurrent transactions. When registering your abstract, you must provide information about conflicts with PC members. DistAI generates data by simulating the distributed protocol at different instance sizes and recording states as samples. Metadata from voice calls, such as the knowledge of who is communicating with whom, contains rich information about peoples lives. Professor Veloso has been recognized with a multiple honors, including being a Fellow of the ACM, IEEE, AAAS, and AAAI. This paper addresses a key missing piece in the current ecosystem of decentralized services and blockchain apps: the lack of decentralized, verifiable, and private search. If in doubt about whether your submission to OSDI 2021 and your upcoming submission to SOSP are the same paper or not, please contact the PC chairs by email. Main conference program: 5-8 April 2022. Pollux improves scheduling performance in deep learning (DL) clusters by adaptively co-optimizing inter-dependent factors both at the per-job level and at the cluster-wide level. Alas, existing profiling techniques incur high overhead when used to identify data locality problems and cannot be deployed in production, where programs may exhibit previously-unseen performance problems. Papers must be in PDF format and must be submitted via the submission form. By submitting a paper, you agree that at least one of the authors will attend the conference to present it. Authors may submit a response to those reviews until Friday, March 5, 2021. Session Chairs: Nadav Amit, VMware Research Group, and Ada Gavrilovska, Georgia Institute of Technology, Stephen Ibanez, Alex Mallery, Serhat Arslan, and Theo Jepsen, Stanford University; Muhammad Shahbaz, Purdue University; Changhoon Kim and Nick McKeown, Stanford University. We have made Fluffy publicly available at https://github.com/snuspl/fluffy to contribute to the security of Ethereum. Copyright to the individual works is retained by the author[s]. OSDI 2021 papers summary. Web pages today commonly include large amounts of JavaScript code in order to offer users a dynamic experience. Graph Neural Networks (GNNs) have gained significant attention in the recent past, and become one of the fastest growing subareas in deep learning. At a high level, Addra follows a template in which callers and callees deposit and retrieve messages from private mailboxes hosted at an untrusted server. Artifact Evaluation - Systems Research Artifacts Extensive experiments show that GNNAdvisor outperforms the state-of-the-art GNN computing frameworks, such as Deep Graph Library (3.02 faster on average) and NeuGraph (up to 4.10 faster), on mainstream GNN architectures across various datasets. We introduce a hybrid cryptographic protocol for privacy-adhering transformations of encrypted data. Novel system designs, thorough empirical work, well-motivated theoretical results, and new application areas are all . Kirk Rodrigues, Yu Luo, and Ding Yuan, University of Toronto and YScope Inc. Manuela will present examples and discuss the scope of AI in her research in the finance domain. There is no explicit limit to the response, but authors are strongly encouraged to keep it under 500 words; reviewers are neither required nor expected to read excessively long responses. We develop MAGE, an execution engine for SC that efficiently runs SC computations that do not fit in memory. The file system performance of the proposed ZNS+ storage system was 1.33--2.91 times better than that of the normal ZNS-based storage system. The key to our solution, Horcrux, is to account for the non-determinism intrinsic to web page loads and the constraints placed by the browsers API for parallelism. OSDI 2021 papers summary | hacklog CLP's gains come from using a tuned, domain-specific compression and search algorithm that exploits the significant amount of repetition in text logs. Although SSDs can be simplified under the current ZNS interface, its counterpart LFS must bear segment compaction overhead. Qing Wang, Youyou Lu, Junru Li, and Jiwu Shu, Tsinghua University. We also verified a simple NFS server using GoJournals specs, which confirms that they are helpful for application verification: a significant part of the proof doesnt have to consider concurrency and crashes. To adapt to different workloads, prior works mix or switch between a few known algorithms using manual insights or simple heuristics. Academic and industrial participants present research and experience papers that cover the full range of theory and practice of computer . Pollux is implemented and publicly available as part of an open-source project at https://github.com/petuum/adaptdl. Accepted paper for Luo Mai at OSDI 22 | InfWeb For conference information, . USENIX new Date().getFullYear()>document.write(new Date().getFullYear()); Grants for Black Computer Science Students Application, Title Page, Copyright Page, and List of Organizers, OSDI '21 Proceedings Interior (PDF, best for mobile devices).

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