End-to-end routing behavior in the Internet
IEEE/ACM Transactions on Networking (TON)
Models and issues in data stream systems
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
End-to-end WAN service availability
IEEE/ACM Transactions on Networking (TON)
Experimental Study of Internet Stability and Backbone Failures
FTCS '99 Proceedings of the Twenty-Ninth Annual International Symposium on Fault-Tolerant Computing
Highly available, fault-tolerant, parallel dataflows
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
High-Availability Algorithms for Distributed Stream Processing
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
Fault-tolerance in the Borealis distributed stream processing system
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Network-Aware Operator Placement for Stream-Processing Systems
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Monitoring streams: a new class of data management applications
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Fault-tolerant stream processing using a distributed, replicated file system
Proceedings of the VLDB Endowment
Fast and Highly-Available Stream Processing over Wide Area Networks
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
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We propose to demonstrate iFlow, our replication-based system that supports both fast and reliable processing of data streams over the Internet. iFlow uses a low degree of replication in conjunction with detouring techniques to overcome network outages. iFlow also deploys replicas in a manner that improves performance and availability at the same time, and can cope with varying system conditions by continually migrating replicas. Based on a live network monitoring application, our demonstration will substantiate the strengths of iFlow. During the demonstration, various visual tools will provide graphical evidence of improvements with regards to availability, performance, and resource usage. To show iFlow's adaptivity, these tools will also allow us to control the demonstration situation including injecting different types of failures.