ACM Home Page
Please provide us with feedback. Feedback
xTune: online verifiable cross-layer adaptation for distributed real-time embedded systems
Full text PdfPdf (82 KB)
Source ACM SIGBED Review archive
Volume 5 ,  Issue 1  (January 2008) table of contents
Special issue on the RTSS forum on deeply embedded real-time computing
Article No. 24  
Year of Publication: 2008
Author
Minyoung Kim  Center for Embedded Comput. Sys., Univ. of California Irvine
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 6,   Downloads (12 Months): 36,   Citation Count: 1
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1366283.1366307
What is a DOI?

ABSTRACT

Adaptive resource management is critical to ensuring the quality of real-time multimedia communication, particularly for energy-constrained mobile handheld devices. In this context, a holistic cross-layer optimization considering multiple layers (e.g., application, middleware, operating system) needs to be developed for continuous adaptation of system parameters. This thesis proposes a unified framework that employs iterative policy/parameter tuning by combining light-weight, on-the-fly formal verification with feedback for dynamic adaptation. The integration of formal analysis with dynamic behavior from system execution will result in a feedback loop that enables model refinement and further optimization of policies and parameters. Our unified framework tunes the parameters in a compositional manner allowing coordinated interaction among sub-layer optimizers that enables holistic cross-layer optimization.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
[1] xTune Framework. http://xtune.ics.uci.edu.
 
2
[2] Forge Project. http://forge.ics.uci.edu.
 
3
[3] Maude System. http://maude.csl.sri.com.
 
4
[4] M. Kim, M.-O. Stehr, C. Talcott, N. Dutt, N. Venkatasubramanian. Constraint Refinement for Online Verifiable Cross-Layer System Adaptation. DATE '08, to appear.
 
5
[5] M. Kim, M.-O. Stehr, C. Talcott, N. Dutt, N. Venkatasubramanian. Combining Formal Verification with Observed System Execution Behavior to Tune System Parameters. FORMATS '07, volume 4763 of LNCS, pages 257-273.
 
6
[6] M. Kim, M.-O. Stehr, C. Talcott, N. Dutt, N. Venkatasubramanian. A Probabilistic Formal Analysis Approach to Cross Layer Optimization in Distributed Embedded Systems. FMOODS '07, volume 4468 of LNCS, pages 285-300.
 
7
[7] M. Kim, S. Banerjee, N. Dutt, N. Venkatasubramanian. Energy-aware Co-synthesis of Real Time Multimedia Applications on MPSoCs. ACM Trans. on Embedded Computing Sys., accepted for publication.
8
9
 
10
[10] M. Kim, N. Dutt, N. Venkatasubramanian. Policy Construction and Validation for Energy Minimization in Cross Layered Systems: A Formal Method Approach. RTAS '06 WiP Session.
 
11
 
12
 
13
[13] D. Kim, M. Kim, S. Ha A Case Study of System Level Specification and Software Synthesis of Multimode Multimedia Terminal. ESTImedia '03, pages 57-64.
 
14
[14] M. Kim, S. Ha. Hybrid Run-time Power Management Technique for Real-time Embedded System with Voltage Scalable Processor. LCTES '01, pages 11-19.