Achieving scalability and expressiveness in an Internet-scale event notification service
Proceedings of the nineteenth annual ACM symposium on Principles of distributed computing
Event Services for High Performance Computing
HPDC '00 Proceedings of the 9th IEEE International Symposium on High Performance Distributed Computing
Gigascope: a stream database for network applications
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
A scalable distributed information management system
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
ACMS: the Akamai configuration management system
NSDI'05 Proceedings of the 2nd conference on Symposium on Networked Systems Design & Implementation - Volume 2
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
QoS-Aware Shared Component Composition for Distributed Stream Processing Systems
IEEE Transactions on Parallel and Distributed Systems
The Akamai network: a platform for high-performance internet applications
ACM SIGOPS Operating Systems Review
Network imprecision: a new consistency metric for scalable monitoring
OSDI'08 Proceedings of the 8th USENIX conference on Operating systems design and implementation
Managing smartphone testbeds with smartlab
LISA'13 Proceedings of the 27th international conference on Large Installation System Administration
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The Akamai platformis a network of over 73,000 servers supporting numerous web infrastructure services including the distribution of static and dynamic HTTP content, delivery of live and on-demand streaming media, high-availability storage, accelerated web applications, and intelligent routing. The maintenance of such a network requires significant monitoring infrastructure to enable detailed understanding of its state at all times. For that purpose, Akamai has developed and uses Query, a distributed monitoring system in which all Akamai machines participate. Query collects data at the edges of the Internet and aggregates it at several hundred places to be used to answer SQL queries about the state of the Akamai network. We explain the design of Query, outline some of its critical features, discuss who some of its users are and what Query allows them to do, and explain how Query scales to meet demand as the Akamai network grows.