著者
Hayashibara Naohiro Defago Xavier Yared Rami Katayama Takuya
出版者
北陸先端科学技術大学院大学情報科学研究科
雑誌
Research report (School of Information Science, Japan Advanced Institute of Science and Technology) (ISSN:09187553)
巻号頁・発行日
vol.IS-RR-2004-010, pp.1-15, 2004-05-10

Detecting failures is a fundamental issue for fault-tolerance in distributed systems. Recently, many people have come to realize that failure detection ought to be provided as some form of generic service, similar to IP address lookup or time synchronization. However, this has not been successful so far. One of the reasons is the difficulty to satisfy several application requirements simultaneously when using classical failure detectors. We present a novel abstraction, called accrual failure detectors, that emphasizes flexibility and expressiveness and can serve as a basic building block to implementing failure detectors in distributed systems. Instead of providing information of a boolean nature (trust vs. suspect), accrual failure detectors output a suspicion level on a continuous scale. The principal merit of this approach is that it favors a nearly complete decoupling between application requirements and the monitoring of the environment. In this paper, we describe an implementation of such an accrual failure detector, that we call the φ failure detector. The particularity of the φ failure detector is that it dynamically adjusts to current network conditions the scale on which the suspicion level is expressed. We analyzed the behavior of our φ failure detector over an intercontinental communication link during several days. Our experimental results show that our φ failure detector performs equally well as other known adaptive failure detection mechanisms, with an improved flexibility.

言及状況

Twitter (6 users, 6 posts, 14 favorites)

Help, I've fallen into reading papers about failure detectors and I can't stop following the links. https://t.co/ZYz16EwqyL
Re https://t.co/AAyj5tQ5G4: the ϕ accrual failure detector (http://t.co/1gjzHCcAAm) implements adaptive timeouts. Akka & Cassandra use it.

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