GitHub - Netflix/concurrency-limits
When thinking of service availability operators traditionally think in terms of RPS (requests per second). Stress tests are normally performed to determine the RPS at which point the service tips over. RPS limits are then set somewhere below this tipping point (say 75% of this value) and enforced via a token bucket. However, in large distributed systems that auto-scale this value quickly goes out
Philly ETE Screencast #7 – Doug Lea – Engineering Concurrent Library Components
From Doug Lea’s abstract: “Creating components based on concurrent and parallel algorithms and data structures often requires more attention to “engineering” issues not seen with most other libraries. Components created in the “obvious” way sometimes turn out to be wrong, to perform poorly, or are unusable in most applications, because the abstractions in which they are expressed are leaky, imprec
https://netfiles.uiuc.edu/dig/RefactoringInfo/tools/ReLooper/
ReLooper: Refactoring for Loop Parallelism Problem Description In the multicore era, sequential programs need to be refactored for parallelism. The next version of Java provides ParallelArray, an array data structure that supports parallel operations over the array elements. For example, one can apply a procedure to each element, or reduce all elements to a new element in parallel. Refactoring an
1
リリース、障害情報などのサービスのお知らせ
最新の人気エントリーの配信
処理を実行中です
j次のブックマーク
k前のブックマーク
lあとで読む
eコメント一覧を開く
oページを開く
Engineering Concurrent Library Components
Google Code Archive - Long-term storage for Google Code Project Hosting.
Amazon.co.jp：洋書： Java Concurrency in Practice
