Eiffel: the language
Lessons from Giant-Scale Services
IEEE Internet Computing
Pastry: Scalable, Decentralized Object Location, and Routing for Large-Scale Peer-to-Peer Systems
Middleware '01 Proceedings of the IFIP/ACM International Conference on Distributed Systems Platforms Heidelberg
Harvest, Yield, and Scalable Tolerant Systems
HOTOS '99 Proceedings of the The Seventh Workshop on Hot Topics in Operating Systems
Autopilot: automatic data center management
ACM SIGOPS Operating Systems Review - Systems work at Microsoft Research
Design and evaluation of a continuous consistency model for replicated services
OSDI'00 Proceedings of the 4th conference on Symposium on Operating System Design & Implementation - Volume 4
Why do internet services fail, and what can be done about it?
USITS'03 Proceedings of the 4th conference on USENIX Symposium on Internet Technologies and Systems - Volume 4
Dynamo: amazon's highly available key-value store
Proceedings of twenty-first ACM SIGOPS symposium on Operating systems principles
On designing and deploying internet-scale services
LISA'07 Proceedings of the 21st conference on Large Installation System Administration Conference
The ruby programming language
Concurrency among strangers: programming in E as plan coordination
TGC'05 Proceedings of the 1st international conference on Trustworthy global computing
Coordinated exception handling in J2EE applications
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part I
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In this paper, we present CatchAndRetry, an extension of the traditional exception mechanism to provide language-level support for common recovery techniques in distributed systems. We motivate and justify our design by analyzing several cases studies taken from the context of Facebook. CatchAndRetry is a language mechanism that is general enough to apply to multiple tiers of a distributed application; throughout this paper, we illustrate CatchAndRetry with examples of its use within both a large-scale distributed server-side application running in a data center as well as a JavaScript clients-side application running within a web browser.