Power-aware video decoding using real-time event handlers
WOWMOM '02 Proceedings of the 5th ACM international workshop on Wireless mobile multimedia
On Network CoProcessors for Scalable, Predictable Media Services
IEEE Transactions on Parallel and Distributed Systems
Addressing data compatibility on programmable network platforms
Proceedings of the 2005 ACM symposium on Architecture for networking and communications systems
Advanced networking services for distributed multimedia streaming applications
Multimedia Tools and Applications
I-RMI: performance isolation in information flow applications
Proceedings of the ACM/IFIP/USENIX 2005 International Conference on Middleware
Opportunistic channels: mobility-aware event delivery
Proceedings of the ACM/IFIP/USENIX 2003 International Conference on Middleware
Utility-driven proactive management of availability in enterprise-scale information flows
Proceedings of the ACM/IFIP/USENIX 2006 International Conference on Middleware
Isolation points: Creating performance-robust enterprise systems
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Utility-driven proactive management of availability in enterprise-scale information flows
Middleware'06 Proceedings of the 7th ACM/IFIP/USENIX international conference on Middleware
I-RMI: performance isolation in information flow applications
Middleware'05 Proceedings of the ACM/IFIP/USENIX 6th international conference on Middleware
Performance troubleshooting in data centers: an annotated bibliography?
ACM SIGOPS Operating Systems Review
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An Operational Information System (OIS) supports a real-time view of an organization's information critical to its logistical business operations. A central component of an OIS is an engine that integrates data events captured from distributed, remote sources in order to derive meaningful real-time views of current operations. This Event Derivation Engine (EDE) continuously updates these views and also publishes them to a potentially large number of remote subscribers. The paper first describes a sample OIS and EDE in the context of an airline's operations. It then defines the performance and availability requirements to be met by this system, specifically focusing on the EDE component. One particular requirement for the EDE is that subscribers to its output events should not experience down-time due to EDE failures, crashes or increased processing loads. Toward this end, we develop and evaluate a practical technique for masking failures and for hiding the costs of recovery from EDE subscribers. This technique utilizes redundant EDEs that coordinate view replicas with a relaxed synchronous fault tolerance protocol. A combination of pre-and post-buffering of replicas is used to attain a solution that offers low response times (i.e., zero' downtime) whilealso preventing system failures in the presence of deterministic faults like ill-formed' messages. Parallelism realized via a cluster machine and application-specific techniques for reducing synchronization across replicas are used to scale a zero' downtime EDE to support the large number of subscribers it must service.