Title
A probabilistic formal analysis approach to cross layer optimization in distributed embedded systems
Abstract
We present a novel approach, based on probabilistic formal methods, to developing cross-layer resource optimization policies for resource limited distributed systems. One objective of this approach is to enable system designers to analyze designs in order to study design tradeoffs and predict the possible property violations as the system evolves dynamically over time. Specifically, an executable formal specification is developed for each layer under consideration (for example, application, middleware, operating system). The formal specification is then analyzed using statistical model checking and statistical quantitative analysis, to determine the impact of various resource management policies for achieving desired end-to-end QoS properties. We describe how existing statistical approaches have been adapted and improved to provide analyses of given cross-layered optimization policies with quantifiable confidence. The ideas are tested in a multi-mode multi-media case study. Experiments from both theoretical analysis and Monte-Carlo simulation followed by statistical analyses demonstrate the applicability of this approach to the design of resource-limited distributed systems.
Year
DOI
Venue
2007
10.1007/978-3-540-72952-5_18
FMOODS
Keywords
Field
DocType
statistical quantitative analysis,statistical approach,novel approach,cross-layer resource optimization policy,layer optimization,formal specification,executable formal specification,probabilistic formal method,statistical analysis,probabilistic formal analysis approach,embedded system,system designer,statistical model checking,quantitative analysis,resource manager,middleware,statistical model,formal method,distributed system,monte carlo simulation,system design,study design,operating system
Resource management,Middleware,Cross-layer optimization,Computer science,Quality of service,Theoretical computer science,Formal specification,Formal methods,Probabilistic logic,Executable,Distributed computing
Conference
Volume
ISSN
Citations 
4468
0302-9743
16
PageRank 
References 
Authors
0.74
15
5
Name
Order
Citations
PageRank
Minyoung Kim120214.56
Mark-oliver Stehr237729.62
Carolyn Talcott31922168.73
Nikil Dutt44960421.49
Nalini Venkatasubramanian523215.42