https://thestrangeloop.com/sessions/doppio-building-a-jvm-in-the-browser

Doppio: Building a JVM in the Browser

Modern browsers provide sandboxed versions of many native system interfaces, such as graphics rendering and a filesystem. Thus in theory we should be able to replicate most of the desktop experience on the web — except for the fact that a great deal of applications are not written in Javascript. Enabling the browser to run other languages would add whole classes of applications to the web platform.

Doppio is an effort to bring the JVM languages to the web by implementing a JVM in Coffeescript. While the JVM specification is technically language-agnostic, the original JVM is written in C and C++, and its architecture reflects that. We’ll discuss some of the challenges of implementing the spec and porting the libraries to a high-level, non-systems language, particularly when it does not expose threads directly. We’ll also talk about how NodeJS was invaluable for development.

UMass Professor Emery Berger discusses recent reports of internet hacking that could leave thousands of Americans with “infected” internet connections and lead to internet disconnection this July. How can you know if your computer is affected?

When asked to serve on a PC, agree only if double-blind reviewing is used.

This approach doesn’t always work, but the fact is that most program chairs simply had not considered it and are happy to adopt it. My advisor Kathryn McKinley‘s case for double-blind and Mike Hicks‘ fantastic FAQ on the topic make excellent ammunition. I suggested it to Todd Mowry and he implemented it for ASPLOS 2011; P. Sadayappan did the same for PPoPP 2012 (I am grateful to both for their patience!)

But there has been some backsliding; double-blind reviewing is not going to be used for POPL 2013, despite the overwhelmingly positive response of the POPL 2012 committee members.

So the next time you get asked to serve on a PC, at least bring it up. Let’s help make this a standard practice across our community.

http://www.nepr.net/news/umass-cyber-security-expert-examines-zappos-security-breach

Visit the project page (automan-lang.org) for download information.

Technical report UMass CS TR 2011-44: Dan Barowy, Emery D. Berger, and Andrew McGregor.

Abstract:

Humans can perform many tasks with ease that remain difficult or impossible for computers. Crowdsourcing platforms like Amazon’s Mechanical Turk make it possible to harness human-based computational power on an unprecedented scale. However, their utility as a general-purpose computational platform remains limited. The lack of complete automation makes it difficult to orchestrate complex or interrelated tasks. Scheduling human workers to reduce latency costs real money, and jobs must be monitored and rescheduled when workers fail to complete their tasks. Furthermore, it is often difficult to predict the length of time and payment that should be budgeted for a given task. Finally, the results of human-based computations are not necessarily reliable, both because human skills and accuracy vary widely, and because workers have a financial incentive to minimize their effort.

This paper introduces AutoMan, the first fully automatic crowdprogramming system. AutoMan integrates human-based computations into a standard programming language as ordinary function calls, which can be intermixed freely with traditional functions. This abstraction allows AutoMan programmers to focus on their programming logic. An AutoMan program specifies a confidence level for the overall computation and a budget. TheAutoMan runtime system then transparently manages all details necessary for scheduling, pricing, and quality control. AutoMan automatically schedules human tasks for each computation until it achieves the desired confidence level; monitors, reprices, and restarts human tasks as necessary; and maximizes parallelism across human workers while staying under budget.