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The Unwritten Contract of Solid State Drives
We perform a detailed vertical analysis of application performance atop a range of modern file systems and SSD FTLs.
We formalize the “unwritten contract” that clients of SSDs
should follow to obtain high performance, and conduct our
analysis to uncover application and file system designs that
violate the contract. Our analysis, which utilizes a highly
detailed SSD simulation underneath traces taken from real
workloads and file systems, provides insight into how to better construct applications, file systems, and FTLs to realize
robust and sustainable performance.
ssd  filetype:pdf  paper  comp-sci  disk  performance  research 
august 2019
[no title]
how information operations have been carried out in the past to exploit divisions
filetype:pdf  cybersecurity  security  infosec 
july 2019
Programming Satan’s Computer
Cryptographic protocols are used in distributed systems to
identify users and authenticate transactions. They may involve the exchange of about 2–5 messages, and one might think that a program of
this size would be fairly easy to get right. However, this is absolutely not
the case: bugs are routinely found in well known protocols, and years
after they were first published. The problem is the presence of a hostile
opponent, who can alter messages at will. In effect, our task is to program a computer which gives answers which are subtly and maliciously
wrong at the most inconvenient possible moment. This is a fascinating
problem; and we hope that the lessons learned from programming Satan’s computer may be helpful in tackling the more common problem of
programming Murphy’s.
paper  security  infosec  comp-sci  crypto  protocol  design 
june 2019
Overcoming the challenges to feedback-directed optimization (Keynote Talk)
Feedback-directed optimization (FDO) is a general term used to describe any technique that alters a program's execution based on tendencies observed in its present or past runs. This paper reviews the current state of affairs in FDO and discusses the challenges inhibiting further acceptance of these techniques. It also argues that current trends in hardware and software technology have resulted in an execution environment where immutable executables and traditional static optimizations are no longer sufficient. It explains how we can improve the effectiveness of our optimizers by increasing our understanding of program behavior, and it provides examples of temporal behavior that we can (or could in the future) exploit during optimization.
paper  comp-sci  compilers  optimisation  performance 
may 2019
Reasoning about the Node.js Event Loop using Async Graphs - IEEE Conference Publication
With the popularity of Node.js, asynchronous, event-driven programming has become widespread in server-side applications. While conceptually simple, event-based programming can be tedious and error-prone. The complex semantics of the Node.js event loop, coupled with the different flavors of asynchronous execution in JavaScript, easily leads to bugs. This paper introduces a new model called Async Graph to reason about the runtime behavior of applications and their interactions with the Node.js event loop. Based on the model, we have developed AsyncG, a tool to automatically build and analyze the Async Graph of a running application, and to identify bugs related to all sources of asynchronous execution in Node.js. AsyncG is compatible with the latest ECMAScript language features and can be (de)activated at runtime. In our evaluation, we show how AsyncG can be used to identify bugs in real-world Node.js applications.
paper  node  node.js  asynchronous  debugging  tools 
may 2019
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