Exploiting IP multicast in content-based publish-subscribe systems
IFIP/ACM International Conference on Distributed systems platforms
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Bigtable: a distributed storage system for structured data
OSDI '06 Proceedings of the 7th USENIX Symposium on Operating Systems Design and Implementation - Volume 7
Experiences building PlanetLab
OSDI '06 Proceedings of the 7th USENIX Symposium on Operating Systems Design and Implementation - Volume 7
Corona: a high performance publish-subscribe system for the world wide web
NSDI'06 Proceedings of the 3rd conference on Networked Systems Design & Implementation - Volume 3
Stabilizing Peer-to-Peer Spatial Filters
ICDCS '07 Proceedings of the 27th International Conference on Distributed Computing Systems
Constructing scalable overlays for pub-sub with many topics
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VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
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Rappel: Exploiting interest and network locality to improve fairness in publish-subscribe systems
Computer Networks: The International Journal of Computer and Telecommunications Networking
FeedTree: sharing web micronews with peer-to-peer event notification
IPTPS'05 Proceedings of the 4th international conference on Peer-to-Peer Systems
Willow: DHT, aggregation, and publish/subscribe in one protocol
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Cloud computing is becoming increasingly popular for the scalability and availability it promises. As existent cloud systems support only update interface on single data item, users and applications may require a convenient functionality that applies updates to a large number of data items. We propose an approach towards this end and exploit publish/subscribe service in update request dissemination. To effectively utilize computing resources of all nodes in a cloud, we devise a publish/subscribe service called Ripple which achieves the following goals: (1) fast connecting nodes according to their subscriptions on topics to exploit nodes in update request dissemination; (2) low cost in connection maintenance; (3) short delay for request dissemination. Extensive experiments based upon data collected from real Web applications demonstrate that Ripple satisfying the service requirement has good scalability and performs well even under conditions of data redistribution and node membership dynamicity. The service maintenance cost does not cause over stress on the underlying system.