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On composing stream applications in peer-to-peer environments
Xiaohui Gu,
Klara Nahrstedt
Coordinated Science Lab
Electrical and Computer Engineering
Information Trust Institute
National Center for Supercomputing Applications (NCSA)
Biomedical and Translational Sciences
Siebel School of Computing and Data Science
Research output
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Article
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peer-review
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Keyphrases
Centralized Algorithm
16%
Composable
16%
Design Alternatives
16%
Distributed Algorithms
33%
Failure Recovery
16%
Failure Recovery Algorithm
16%
Global State
33%
IP Telephony
16%
Local State
16%
Multiple Alternatives
16%
On Demand
16%
Peer Environment
100%
Proactive Approach
16%
Proactive Failure Recovery
16%
Processing Element
16%
Real-time Processing
16%
Recovery Scheme
16%
Security Sensor
16%
Security Surveillance
16%
Sensor Data Analysis
16%
Setup Phase
16%
State Maintenance
16%
State-based
33%
Stream Application
100%
Stream Processing
33%
Stream Processing Systems
16%
Surveillance Data
16%
Voice-over
16%
Computer Science
Data Stream
50%
Design Alternative
50%
Distributed Algorithm
100%
Emerging Application
50%
Proactive Approach
50%
Recovery Algorithm
50%
Recovery Scheme
50%
Security Surveillance
50%
Stream Processing
50%
Stream Processing Element
50%
Stream Processing System
50%
Time Processing
50%