OSDI 2010〜2018の中で個人的に面白かった論文を雑に一言づつ紹介 - livaの雑記帳
システム系のトップ学会の一つである、OSDI (USENIX Symposium on Operating Systems Design and Implementation)の論文を2010年まで一通り眺めてみたので、その中で個人的に面白かった物をまとめてみる。 一通り眺めたといっても、全て読んだわけではないので、見逃してる論文もたぶんある。あと、英語力低くて趣旨を取り違えてる論文もあると思うけど、寛大な心で見逃してもらえると有り難いです。 （こういう系の話、少し間違えると「おめーここ間違ってるじゃねーか！」ってマサカリが飛んでくる印象があって、あんまり書きたくないんですよね） 2018 LegoOS: A Disseminated, Distributed OS for Hardware Resource Disaggregation https://www.usenix.org/co
Key Characteristics of a Container Orchestration Platform to Enable a Modern Application
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Automated Deployment of a Microservice-based Monitoring Infrastructure
We explore the specification and the automated deployment of a monitoring infrastructure in a container-based distributed system. This result shows that highly customizable monitoring infrastructures can be effectively provided as a service, and that a key step in this process is the definition of an expandable abstract model for them. So we start defining a simple model of the monitoring infrastr
#12 – Semantics and Complexity of GraphQL
GraphQLを分析した論文 “Semantics and Complexity of GraphQL” を向井が紹介します。感想などはハッシュタグ #misreading か hello@misreading.chat にお寄せください。 Semantics and Complexity of GraphQL GraphQL the morning paper / Semantics and Complexy of GraphQL NL-complete (日本語) Correction エピソード内でクエリ結果のサイズ評価について議論していますが、論文をちらっと読んだかんじでは向井さんの主張が正しそうです。自分はなんとなくスキーマの ER 図みたいのを想像しながら話を聞いていましたが、この人のいうグラフはオブジェクトDBみたいなグラフで、何かを評価する際にスキーマなどはおまけみたいなも
Semantics and complexity of GraphQL | the morning paper
the morning paper a random walk through Computer Science research, by Adrian Colyer Made delightfully fast by strattic Semantics and complexity of GraphQL Hartig & Pérez, WWW’18 (If you don’t have ACM Digital Library access, the paper can be accessed either by following the link above directly from The Morning Paper blog site, or from the WWW 2018 proceedings page). GraphQL has been gathering good
SuRF: Practical Range Query Filtering with Fast Succinct Tries
SuRF: Practical Range Query Filtering with Fast Succinct Tries Huanchen Zhang Carnegie Mellon University huanche1@cs.cmu.edu Hyeontaek Lim Carnegie Mellon University hl@cs.cmu.edu Viktor Leis TU München leis@in.tum.de David G. Andersen Carnegie Mellon University dga@cs.cmu.edu Michael Kaminsky Intel Labs michael.e.kaminsky@intel.com Kimberly Keeton Hewlett Packard Enterprise kimberly.keeton@hpe.co
SIGMOD 2018 Accepted Papers
Here is the list of accepted papers for SIGMOD 2018. I’ve attached links to PDFs to some of the papers of my interest if they are already available on the web. The 2018 ACM SIGMOD/PODS Conference: Houston, USA - SIGMOD Accepted Research Papers Fonduer: Knowledge Base Construction from Richly Formatted Data Sen Wu (Stanford University); Luke Hsiao (Stanford… Research PapersCold Filter: A Meta-Frame
Building a Bw-Tree Takes More Than Just Buzz Words
Building a Bw-Tree Takes More Than Just Buzz Words Ziqi Wang Carnegie Mellon University ziqiw@cs.cmu.edu Andrew Pavlo Carnegie Mellon University pavlo@cs.cmu.edu Hyeontaek Lim Carnegie Mellon University hl@cs.cmu.edu Viktor Leis TU München leis@in.tum.de Huanchen Zhang Carnegie Mellon University huanche1@cs.cmu.edu Michael Kaminsky Intel Labs michael.e.kaminsky@intel.com David G. Andersen Carnegie
Anna: A KVS for any scale | the morning paper
the morning paper a random walk through Computer Science research, by Adrian Colyer Made delightfully fast by strattic Anna: A KVS for any scale Wu et al., ICDE’18 This work comes out of the RISE project at Berkeley, and regular readers of The Morning Paper will be familiar with much of the background. Here’s how Joe Hellerstein puts it in his blog post introducing the work: As researchers, we ask
NetChain: Scale-Free Sub-RTT Coordination | USENIX
Xin Jin, Johns Hopkins University; Xiaozhou Li, Barefoot Networks; Haoyu Zhang, Princeton University; Nate Foster, Cornell University; Jeongkeun Lee, Barefoot Networks; Robert Soulé, Università della Svizzera italiana; Changhoon Kim, Barefoot Networks; Ion Stoica, UC Berkeley Awarded Best Paper! Coordination services are a fundamental building block of modern cloud systems, providing critical func
MemGEN: Memory is All You Need
We propose a new learning paradigm called Deep Memory. It has the potential to completely revolutionize the Machine Learning field. Surprisingly, this paradigm has not been reinvented yet, unlike Deep Learning. At the core of this approach is the \textit{Learning By Heart} principle, well studied in primary schools all over the world. Inspired by poem recitation, or by $\pi$ decimal memorization,
Error Budgets and Risks | USENIX
Striving for Imperfection: Using an error budget to move fast without compromising high reliability You may assume Site Reliability Engineers aim to build systems that never go down. What that fails to realize is that 100% reliability is almost never the goal. Instead, our task is to trade off reliability against the many other goals we have for our services. SREs want to provide great service to
Bursty Human Dynamics
Bursty dynamics is a common temporal property of various complex systems in Nature but it also characterises the dynamics of human actions and interactions. At the phenomenological level it is a feature of all systems that evolve heterogeneously over time by alternating between periods of low and high event frequencies. In such systems, bursts are identified as periods in which the events occur wi
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Improving Write Performance of LSMT-Based Key-Value Store
Analyzing a decade of Linux system calls - Empirical Software Engineering
Node.jsにおけるCPU-boundタスク時のレスポンス性能低下に対する自動スケジューリング手法 | CiNii Research
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Minimizing Content Staleness in Dynamo-Style Replicated Storage Systems
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