Wide area traffic: the failure of Poisson modeling
IEEE/ACM Transactions on Networking (TON)
Traffic analysis for on-chip networks design of multimedia applications
Proceedings of the 39th annual Design Automation Conference
Self-Similar Network Traffic and Performance Evaluation
Self-Similar Network Traffic and Performance Evaluation
Networks on chip
A low complexity heuristic for design of custom network-on-chip architectures
Proceedings of the conference on Design, automation and test in Europe: Proceedings
A Statistical Traffic Model for On-Chip Interconnection Networks
MASCOTS '06 Proceedings of the 14th IEEE International Symposium on Modeling, Analysis, and Simulation
Automatic phase detection for stochastic on-chip traffic generation
CODES+ISSS '06 Proceedings of the 4th international conference on Hardware/software codesign and system synthesis
Evolution of Networks: From Biological Nets to the Internet and WWW (Physics)
Evolution of Networks: From Biological Nets to the Internet and WWW (Physics)
Quantum-like effects in network-on-chip buffers behavior
Proceedings of the 44th annual Design Automation Conference
VLSID '08 Proceedings of the 21st International Conference on VLSI Design
Negative Exponential Distribution Traffic Pattern for Power/Performance Analysis of Network on Chips
VLSID '09 Proceedings of the 2009 22nd International Conference on VLSI Design
Applying network calculus for performance analysis of self-similar traffic in on-chip networks
CODES+ISSS '09 Proceedings of the 7th IEEE/ACM international conference on Hardware/software codesign and system synthesis
Statistical physics approaches for network-on-chip traffic characterization
CODES+ISSS '09 Proceedings of the 7th IEEE/ACM international conference on Hardware/software codesign and system synthesis
NOCS '10 Proceedings of the 2010 Fourth ACM/IEEE International Symposium on Networks-on-Chip
Fractals and Scaling In Finance: Discontinuity, Concentration, Risk
Fractals and Scaling In Finance: Discontinuity, Concentration, Risk
All of Statistics: A Concise Course in Statistical Inference
All of Statistics: A Concise Course in Statistical Inference
Unconventional fabrics, architectures, and models for future multi-core systems
CODES/ISSS '10 Proceedings of the eighth IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis
A software framework for trace analysis targeting multicore platforms design
NOCS '11 Proceedings of the Fifth ACM/IEEE International Symposium on Networks-on-Chip
Mathematical formalisms for performance evaluation of networks-on-chip
ACM Computing Surveys (CSUR)
On bottleneck analysis in stochastic stream processing
ACM Transactions on Design Automation of Electronic Systems (TODAES)
Dynamic power management for multidomain system-on-chip platforms: An optimal control approach
ACM Transactions on Design Automation of Electronic Systems (TODAES) - Special Section on Networks on Chip: Architecture, Tools, and Methodologies
Analytical performance modeling of shuffle-exchange inspired mesh-based Network-on-Chips
Performance Evaluation
Journal of Systems Architecture: the EUROMICRO Journal
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Networks-on-chip (NoCs) have been proposed as a scalable solution to solving the communication problem in multicore systems. Although the queuing-based approaches have been traditionally used for performance analysis purposes, they cannot properly account for many of the traffic characteristics (e.g., non-stationary, self-similarity, higher order statistics) that are crucial for multicore platform design when communication happens via the NoC approach. To overcome this limitation, we propose a mean field approach to analyze the traffic dynamics in multicore systems and show how the non-stationary effects of the NoC workload can be effectively captured; this is of fundamental significance for re-thinking the very basis of multicore systems design. Moreover, our experimental results demonstrate that both network architecture and application characteristics are the main sources of power law behavior observed in network traffic. Our findings open new research directions into NoC optimization which require accurate models of time- and space-dependent traffic behavior.