Storm ensures security using a Security Typed ORM that refines the (type) abstractions of each layer of the MVC API with logical assertions that describe the data produced and consumed by the underlying operation and the users allowed access to that data. Performance experiments show that GoNFS provides similar performance (e.g., at least 90% throughput across several benchmarks on an NVMe disk) to Linuxs NFS server exporting an ext4 file system, suggesting that GoJournal is a competitive journaling system. For conference information, . Submitted papers must be no longer than 12 single-spaced 8.5 x 11 pages, including figures and tables, plus as many pages as needed for references, using 10-point type on 12-point (single-spaced) leading, two-column format, Times Roman or a similar font, within a text block 7 wide x 9 deep. Moreover, as of October 2020, a review of the 50 most cited empirical papers that list personality as a keyword indicates that all 50 papers were authored by people with insti tutional affiliations in the United States, Canada, Germany, the UK, and New Zealand, and only three papers included samples outside of these regions (see Supplementary Amy Tai, VMware Research; Igor Smolyar, Technion Israel Institute of Technology; Michael Wei, VMware Research; Dan Tsafrir, Technion Israel Institute of Technology and VMware Research.
Samantha Vaive - Member Board Of Trustees - Lansing Community College Session Chairs: Deniz Altinbken, Google, and Rashmi Vinayak, Carnegie Mellon University, Tanvir Ahmed Khan and Ian Neal, University of Michigan; Gilles Pokam, Intel Corporation; Barzan Mozafari and Baris Kasikci, University of Michigan. Novel system designs, thorough empirical work, well-motivated theoretical results, and new application areas are all . 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.
OSDI '21 Call for Papers | USENIX We present Nap, a black-box approach that converts concurrent persistent memory (PM) indexes into NUMA-aware counterparts. This motivates the need for a new approach to data privacy that can provide strong assurance and control to users. This is especially true for DPF over Rnyi DP, a highly composable form of DP. A significant obstacle to using SC for practical applications is the memory overhead of the underlying cryptography. Dorylus is up to 3.8 faster and 10.7 cheaper compared to existing sampling-based systems.
Accepted paper for Luo Mai at OSDI 22 | InfWeb 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. However, existing enclave designs fail to meet the requirements of scalability demanded by new scenarios like serverless computing, mainly due to the limitations in their secure memory protection mechanisms, including static allocation, restricted capacity and high-cost initialization. Pollux is implemented and publicly available as part of an open-source project at https://github.com/petuum/adaptdl. The biennial ACM Symposium on Operating Systems Principles is the world's premier forum for researchers, developers, programmers, and teachers of computer systems technology. 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. In particular, responses must not include new experiments or data, describe additional work completed since submission, or promise additional work to follow. First, GNNAdvisor explores and identifies several performance-relevant features from both the GNN model and the input graph, and use them as a new driving force for GNN acceleration. However, a plethora of recent data breaches show that even widely trusted service providers can be compromised. All papers will be available online to registered attendees before the conference. Owing to the sequential write-only zone scheme of the ZNS, the log-structured file system (LFS) is required to access ZNS solid-state drives (SSDs). 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. Because DistAI starts with the strongest possible invariants, if the SMT solver fails, DistAI does not need to discard failed invariants, but knows to monotonically weaken them and try again with the solver, repeating the process until it eventually succeeds. Accepted papers will be allowed 14 pages in the proceedings, plus references. We present selective profiling, a technique that locates data locality problems with low-enough overhead that is suitable for production use. She also has made contributions in network security, including scalable data expiration, distributed algorithms despite malicious participants, and DDOS prevention techniques.
OSDI '22 - HotCRP.com Our approach effectively eliminates high communication and partitioning overheads, and couples it with a new pipelined push-pull parallelism based execution strategy for fast model training. 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. Currently, for large graphs, CPU servers offer the best performance-per-dollar over GPU servers. Today, privacy controls are enforced by data curators with full access to data in the clear. DMons targeted optimizations provide 16.83% speedup on average (up to 53.14%), compared to a baseline that uses the highest level of compiler optimization. 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%. The device then "calibrates" its interrupts to completions of latency-sensitive requests. A graph neural network (GNN) enables deep learning on structured graph data. We evaluate PrivateKube and DPF on microbenchmarks and an ML workload on Amazon Reviews data. The chairs will review paper conflicts to ensure the integrity of the reviewing process, adding or removing conflicts if necessary. Our approach outperforms existing file systems on a block SSD by a wide margin 6.2 on average for metadata-intensive benchmarks.
USENIX Security '21 Summer Accepted Papers | USENIX will work with the steering committee to ensure that the symposium program will accommodate presentations for all accepted papers. 64 papers accepted out of 341 submitted. We propose a new framework for computing the embeddings of large-scale graphs on a single machine. DistAI generates data by simulating the distributed protocol at different instance sizes and recording states as samples. Authors are required to register abstracts by 3:00 p.m. PST on December 3, 2020, and to submit full papers by 3:00 p.m. PST on December 10, 2020. Authors may use this for content that may be of interest to some readers but is peripheral to the main technical contributions of the paper. 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 implemented the ZNS+ SSD at an SSD emulator and a real SSD. 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. Prior or concurrent publication in non-peer-reviewed contexts, like arXiv.org, technical reports, talks, and social media posts, is permitted. Authors may submit a response to those reviews until Friday, March 5, 2021. While compiler-based techniques have been proposed to improve data locality, they depend on heuristics, which can sometimes hurt performance. 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. USENIX NSDI, 2021 Acceptance Rate: 15.99% Fluid: Resource-Aware Hyperparameter Tuning Engine P. Yu*, J. Liu*, M. Chowdhury (*Equal contribution) MLSys, 2021 Acceptance Rate: 23.53% NetLock: Fast, Centralized Lock Management Using Programmable Switches Z. Yu, Y. Zhang, V. Braverman, M. Chowdhury, X. Jin ACM SIGCOMM, 2020 Acceptance Rate: 21.6% OSDI 2021 papers summary. Therefore, developers typically find data locality issues via dynamic profiling and repair them manually. With an aim to improve time-to-accuracy performance in model training, Oort prioritizes the use of those clients who have both data that offers the greatest utility in improving model accuracy and the capability to run training quickly. Kyuhwa Han, Sungkyunkwan University and Samsung Electronics; Hyunho Gwak and Dongkun Shin, Sungkyunkwan University; Jooyoung Hwang, Samsung Electronics.
SOSP 2021 - Symposium on Operating Systems Principles Oort Accepted to Appear at OSDI'2021 | Mosharaf Chowdhury NrOS is primarily constructed as a simple, sequential kernel with no concurrency, making it easier to develop and reason about its correctness. ), Program Co-Chairs: Angela Demke Brown, University of Toronto, and Jay Lorch, Microsoft Research. Proceedings Front Matter Only two types of supplementary material are permitted: source code described in the paper and formal proofs sketched in the paper. However, memory allocation decisions also impact overall application performance via data placement, offering opportunities to improve fleetwide productivity by completing more units of application work using fewer hardware resources.
SOSP 2021 - Symposium on Operating Systems Principles Typically, monolithic kernels share state across cores and rely on one-off synchronization patterns that are specialized for each kernel structure or subsystem. If your paper is accepted and you need an invitation letter to apply for a visa to attend the conference, please contact conference@usenix.org as soon as possible. In this talk, I'll speculate on how we came to this unfortunate state of affairs, and what might be done to fix it. Forgot your password? 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. Foreshadow was chosen as an IEEE Micro Top Pick. For instance, FAST 21 and NSDI 21 have author-notification dates after the OSDI 21 abstract-registration deadline. Main conference program: 5-8 April 2022. For example, talks may be shorter than in prior years, or some parts of the conference may be multi-tracked. Even the little publishable OS work that is not based on Linux still assumes the same simplistic hardware model (essentially a multiprocessor VAX) that bears little resemblance to modern reality. This paper demonstrates that it is possible to achieve s-scale latency using Linux kernel storage stack, even when tens of latency-sensitive applications compete for host resources with throughput-bound applications that perform read/write operations at throughput close to hardware capacity. Fan Lai, Xiangfeng Zhu, Harsha V. Madhyastha, and Mosharaf Chowdhury, University of Michigan.
OSDI '22 Technical Sessions | USENIX To remedy this, we introduce DeSearch, the first decentralized search engine that guarantees the integrity and privacy of search results for decentralized services and blockchain apps. We introduce a hybrid cryptographic protocol for privacy-adhering transformations of encrypted data. Sponsored by USENIX in cooperation with ACM SIGOPS.
OSDI '21 - HotCRP.com USENIX Security '21 has three submission deadlines. Sep 2021 - Present 1 year 7 months.
Although SSDs can be simplified under the current ZNS interface, its counterpart LFS must bear segment compaction overhead. 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. The experimental results show that Penglai can support 1,000s enclave instances running concurrently and scale up to 512GB secure memory with both encryption and integrity protection. With her students, she had led research in AI, with a focus on robotics and machine learning, having concretely researched and developed a variety of autonomous robots, including teams of soccer robots, and mobile service robots. The main contribution of this paper is GoJournal, a verified, concurrent journaling system that provides atomicity for storage applications, together with Perennial 2.0, a framework for formally specifying and verifying concurrent crash-safe systems.
NSDI 2021 - Research.com In some cases, the quality of these artifacts is as important as that of the document itself. Log search and log archiving, despite being critical problems, are mutually exclusive. Papers not meeting these criteria will be rejected without review, and no deadline extensions will be granted for reformatting. Existing frameworks optimize tensor programs by applying fully equivalent transformations, which maintain equivalence on every element of output tensors. Based on this observation, P3 proposes a new approach for distributed GNN training. If the conference registration fee will pose a hardship for the presenter of the accepted paper, please contact conference@usenix.org. A PC member is a conflict if any of the following three circumstances applies: Institution: You are currently employed at the same institution, have been previously employed at the same institution within the past two years (not counting concluded internships), or are going to begin employment at the same institution during the review period. J.P. Morgan AI Research partners with applied data analytics teams across the firm as well as with leading academic institutions globally. We conclude with a discussion of additional techniques for improving the allocator development process and potential optimization strategies for future memory allocators. Secure hardware enclaves have been widely used for protecting security-critical applications in the cloud. Research Impact Score 9.24. . We observe that scalability challenges in training GNNs are fundamentally different from that in training classical deep neural networks and distributed graph processing; and that commonly used techniques, such as intelligent partitioning of the graph do not yield desired results. Tao Luo, Mingen Pan, Pierre Tholoniat, Asaf Cidon, and Roxana Geambasu, Columbia University; Mathias Lcuyer, Microsoft Research. Welcome to the SOSP 2021 Website. Although the number of submissions is lower than the past, it's likely only due to the late announcement; being in my first OSDI PC, I think the quality of the submitted and accepted papers remains as high as ever. 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. This change is receiving considerable attention in the architecture and security communities, for example, but in contrast, so-called OS researchers are mostly in denial. 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. We focus on NVMe storage devices and show that it is natural to express these semantics in the kernel and the application and only requires a modest two-bit change to the device interface. Overall, the OSDI PC accepted 31 out of 165 submissions. Leveraging these information, Pollux dynamically (re-)assigns resources to improve cluster-wide goodput, while respecting fairness and continually optimizing each DL job to better utilize those resources. Ethereum is the second-largest blockchain platform next to Bitcoin. He joined Intel Research at Berkeley in April 2002 as a principal architect of PlanetLab, an open, shared platform for developing and deploying planetary-scale services. 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. Instead, we propose addressing the root cause of the heuristics problem by allowing software to explicitly specify to the device if submitted requests are latency-sensitive. Paper abstracts and proceedings front matter are available to everyone now. 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. Table of Contents | This kernel is scaled across NUMA nodes using node replication, a scheme inspired by state machine replication in distributed systems. . She also invented the spanning tree algorithm, which transformed Ethernet from a technology that supported a few hundred nodes, to something that can support large networks. Welcome to the SOSP 2021 Website. USENIX, like other scientific and technical conferences and journals, prohibits these practices and may, on the recommendation of a program chair, take action against authors who have committed them. This approach misses possible optimization opportunities as transformations that only preserve equivalence on subsets of the output tensors are excluded. Some recent schedulers choose job resources for users, but do so without awareness of how DL training can be re-optimized to better utilize the provided resources. Abstract registrations that do not provide sufficient information to understand the topic and contribution (e.g., empty abstracts, placeholder abstracts, or trivial abstracts) will be rejected, thereby precluding paper submission. Yet, existing efforts randomly select FL participants, which leads to poor model and system efficiency. Indeed, it is a prime target for powerful adversaries such as nation states. Mingyu Li, Jinhao Zhu, and Tianxu Zhang, Institute of Parallel and Distributed Systems, Shanghai Jiao Tong University; Shanghai AI Laboratory; Engineering Research Center for Domain-specific Operating Systems, Ministry of Education, China; Cheng Tan, Northeastern University; Yubin Xia, Institute of Parallel and Distributed Systems, Shanghai Jiao Tong University; Shanghai AI Laboratory; Engineering Research Center for Domain-specific Operating Systems, Ministry of Education, China; Sebastian Angel, University of Pennsylvania; Haibo Chen, Institute of Parallel and Distributed Systems, Shanghai Jiao Tong University; Shanghai AI Laboratory; Engineering Research Center for Domain-specific Operating Systems, Ministry of Education, China.
News Baris Kasikci's Home Page - Electrical Engineering and Computer The OSDI '21 program co-chairs have agreed not to submit their work to OSDI '21.
HotNets 2021: Call for Papers - sigcomm We propose Marius, a system for efficient training of graph embeddings that leverages partition caching and buffer-aware data orderings to minimize disk access and interleaves data movement with computation to maximize utilization. Sat, Aug 7, 2021 3 min read researches review. Academic and industrial participants present research and experience papers that cover the full range of theory . The hybrid segment recycling chooses a proper block reclaiming policy between segment compaction and threaded logging based on their costs. Tej Chajed, MIT CSAIL; Joseph Tassarotti, Boston College; Mark Theng, MIT CSAIL; Ralf Jung, MPI-SWS; M. Frans Kaashoek and Nickolai Zeldovich, MIT CSAIL. Here, we focus on hugepage coverage. 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). In this paper, we propose Oort to improve the performance of federated training and testing with guided participant selection. People often assume that blockchain has Byzantine robustness, so adding it to any system will make that system super robust against any calamity. Qing Wang, Youyou Lu, Junru Li, and Jiwu Shu, Tsinghua University. For more details on the submission process, and for templates to use with LaTeX, Word, etc., authors should consult the detailed submission requirements. This talk will discuss several examples with very different solutions. Academic and industrial participants present research and experience papers that cover the full range of theory and practice of computer . As increasingly more sensitive data is being collected to gain valuable insights, the need to natively integrate privacy controls in data analytics frameworks is growing in importance. Secure Computation (SC) is a family of cryptographic primitives for computing on encrypted data in single-party and multi-party settings. Our evaluation shows that NrOS scales to 96 cores with performance that nearly always dominates Linux at scale, in some cases by orders of magnitude, while retaining much of the simplicity of a sequential kernel. Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning, Oort: Efficient Federated Learning via Guided Participant Selection, PET: Optimizing Tensor Programs with Partially Equivalent Transformations and Automated Corrections, Modernizing File System through In-Storage Indexing, Nap: A Black-Box Approach to NUMA-Aware Persistent Memory Indexes, Rearchitecting Linux Storage Stack for s Latency and High Throughput, Optimizing Storage Performance with Calibrated Interrupts, ZNS+: Advanced Zoned Namespace Interface for Supporting In-Storage Zone Compaction, DMon: Efficient Detection and Correction of Data Locality Problems Using Selective Profiling, CLP: Efficient and Scalable Search on Compressed Text Logs, Polyjuice: High-Performance Transactions via Learned Concurrency Control, Retrofitting High Availability Mechanism to Tame Hybrid Transaction/Analytical Processing, The nanoPU: A Nanosecond Network Stack for Datacenters, Beyond malloc efficiency to fleet efficiency: a hugepage-aware memory allocator, Scalable Memory Protection in the PENGLAI Enclave, NrOS: Effective Replication and Sharing in an Operating System, Addra: Metadata-private voice communication over fully untrusted infrastructure, Bringing Decentralized Search to Decentralized Services, Finding Consensus Bugs in Ethereum via Multi-transaction Differential Fuzzing, MAGE: Nearly Zero-Cost Virtual Memory for Secure Computation, Zeph: Cryptographic Enforcement of End-to-End Data Privacy, It's Time for Operating Systems to Rediscover Hardware, DistAI: Data-Driven Automated Invariant Learning for Distributed Protocols, GoJournal: a verified, concurrent, crash-safe journaling system, STORM: Refinement Types for Secure Web Applications, Horcrux: Automatic JavaScript Parallelism for Resource-Efficient Web Computation, SANRAZOR: Reducing Redundant Sanitizer Checks in C/C++ Programs, Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads, GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs, Marius: Learning Massive Graph Embeddings on a Single Machine, P3: Distributed Deep Graph Learning at Scale.