Stochastic petri net simulation
WSC '89 Proceedings of the 21st conference on Winter simulation
Probability and statistics with reliability, queuing and computer science applications
Probability and statistics with reliability, queuing and computer science applications
Lectures on Petri Nets I: Basic Models, Advances in Petri Nets, the volumes are based on the Advanced Course on Petri Nets
Data Center Fundamentals
Segregated failures model for availability evaluation of fault-tolerant systems
ACSC '06 Proceedings of the 29th Australasian Computer Science Conference - Volume 48
Disk failures in the real world: what does an MTTF of 1,000,000 hours mean to you?
FAST '07 Proceedings of the 5th USENIX conference on File and Storage Technologies
An Empirical Study on Data Center System Failure Diagnosis
ICIMP '08 Proceedings of the 2008 The Third International Conference on Internet Monitoring and Protection
Quantifying the sustainability impact of data center availability
ACM SIGMETRICS Performance Evaluation Review
Green server design: beyond operational energy to sustainability
HotPower'10 Proceedings of the 2010 international conference on Power aware computing and systems
Proceedings of the 2011 Symposium on Theory of Modeling & Simulation: DEVS Integrative M&S Symposium
Dependability Modeling and Analysis for the Virtual Data Center of Cloud Computing
HPCC '11 Proceedings of the 2011 IEEE International Conference on High Performance Computing and Communications
Automated Modeling of Dynamic Reliability Block Diagrams Using Colored Petri Nets
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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The advent of services such as cloud computing, social networks and e-commerce has led to an increased demand for computer resources from data centers. Prominent issues for data center designers are sustainability, cost, and dependability, which are each significantly affected by the redundant architectures required to support these services. Within this context, models are important tools for designers when attempting to quantify these issues before implementing the final architecture. This paper proposes a set of models for the integrated quantification of the sustainability impact, cost, and dependability of data center power and cooling infrastructures. This is achieved with the support of an environment called ASTRO. The approach taken to perform the system dependability evaluation employs a hybrid modeling strategy which recognizes the advantages of both stochastic Petri nets and reliability block diagrams. Additionally, an energy flow model is proposed to estimate the environmental impact and cost of data center architectures whilst respecting the energy constraints of each device. This work also presents a case study which analyzes the environmental impact and dependability metrics as well as the operational energy cost of real-world data center power and cooling architectures within the context of the energy mixes of the US and Brazil.