Thermal Analysis of the MIPS Processor Formulated within DEVS Conventions

2013 ◽  
pp. 103-144
Author(s):  
Alejandro Moreno Astorga ◽  
José L. Risco-Martín ◽  
Eva Besada-Portas ◽  
Luís de la Torre ◽  
Joaquín Aranda
Keyword(s):  
Thermal Analysis ◽  
Energy Consumption ◽  
Performance Analysis ◽  
Evolutionary Algorithms ◽  
Computer Architecture ◽  
Set Theory ◽  
Discrete Event ◽  
Heterogeneous Distribution ◽  
Modeling And Analysis ◽  
Event Simulation

The MIPS processor is used in computer architecture courses in order to explain matters such as performance analysis, energy consumption, and reliability. Currently, due to the desire for more powerful computers, it is interesting to learn how to reallocate certain components in order to achieve heat reduction with low cooling costs. DEVS is a general formalism for modeling and analysis of discrete event systems based on set theory and represents a basis for discrete event abstractions by formalizing the concept of activity which relates to the specification and heterogeneous distribution of events in space and time. The MIPS simulator is built upon known techniques for discrete event simulation and its definition within a formal language such as DEVS provides completeness, verifiability, extensibility, and maintainability. In this chapter, the authors carry out a thermal analysis of the MIPS processor using a DEVS simulator and show a register reallocation policy based on evolutionary algorithms that notably decreases the resulting register bank temperature.

Distributed Energy Resource Management System Based on Discrete Event Simulation

2020 ◽  
pp. 246-273
Author(s):  
Simona Šinko ◽  
Dušan Kragelj ◽  
Ivana Radić ◽  
Brigita Gajšek ◽  
Tomaž Kramberger ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Industry 4.0 ◽  
Discrete Event ◽  
Energy Resource ◽  
Distributed Energy ◽  
Modeling And Analysis ◽  
Event Simulation ◽  
Resource Management System ◽  
Distributed Energy Resource

Nowadays, there is more and more discussion about Industry 4.0. The introduction of which could result into growing larger power consumption in a world. On the other side, some parts of Industry 4.0 can help to reduce energy consumption with the use of smart grid, internet of things, renewable energy, etc. The future of energy seems to be in the distributed energy resources (DER). The chapter presents the use of DER on the example of hospital, which are considered as the biggest consumer of energy in commercial sector. Because of important role of understanding the energy consumption, there is an emphasis on the energy modeling and analysis. The chapter provides a new approach in the modelling of energy with the discrete even simulation in which energy is presented by logistics packages, where every package presents a unit of energy. Basic analyses that can be made with the model are presented.

Distributed Energy Resource Management System Based on Discrete Event Simulation

2021 ◽  
pp. 131-157
Author(s):  
Simona Šinko ◽  
Dušan Kragelj ◽  
Ivana Radić ◽  
Brigita Gajšek ◽  
Tomaž Kramberger ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Industry 4.0 ◽  
Discrete Event ◽  
Energy Resource ◽  
Distributed Energy ◽  
Modeling And Analysis ◽  
Event Simulation ◽  
Resource Management System ◽  
Distributed Energy Resource

Nowadays, there is more and more discussion about Industry 4.0. The introduction of which could result into growing larger power consumption in a world. On the other side, some parts of Industry 4.0 can help to reduce energy consumption with the use of smart grid, internet of things, renewable energy, etc. The future of energy seems to be in the distributed energy resources (DER). The chapter presents the use of DER on the example of hospital, which are considered as the biggest consumer of energy in commercial sector. Because of important role of understanding the energy consumption, there is an emphasis on the energy modeling and analysis. The chapter provides a new approach in the modelling of energy with the discrete even simulation in which energy is presented by logistics packages, where every package presents a unit of energy. Basic analyses that can be made with the model are presented.

scholarly journals Simulation modeling and analysis of primary health center operations

SIMULATION ◽  
2021 ◽  
pp. 003754972110309
Author(s):  
Mohd Shoaib ◽  
Varun Ramamohan
Keyword(s):  
Resource Utilization ◽  
Waiting Times ◽  
Discrete Event ◽  
Simulation Models ◽  
Modeling And Analysis ◽  
Healthcare Facilities ◽  
Event Simulation ◽  
Analytical Approximations ◽  
Primary Health ◽  
Generic Modeling

We present discrete-event simulation models of the operations of primary health centers (PHCs) in the Indian context. Our PHC simulation models incorporate four types of patients seeking medical care: outpatients, inpatients, childbirth cases, and patients seeking antenatal care. A generic modeling approach was adopted to develop simulation models of PHC operations. This involved developing an archetype PHC simulation, which was then adapted to represent two other PHC configurations, differing in numbers of resources and types of services provided, encountered during PHC visits. A model representing a benchmark configuration conforming to government-mandated operational guidelines, with demand estimated from disease burden data and service times closer to international estimates (higher than observed), was also developed. Simulation outcomes for the three observed configurations indicate negligible patient waiting times and low resource utilization values at observed patient demand estimates. However, simulation outcomes for the benchmark configuration indicated significantly higher resource utilization. Simulation experiments to evaluate the effect of potential changes in operational patterns on reducing the utilization of stressed resources for the benchmark case were performed. Our analysis also motivated the development of simple analytical approximations of the average utilization of a server in a queueing system with characteristics similar to the PHC doctor/patient system. Our study represents the first step in an ongoing effort to establish the computational infrastructure required to analyze public health operations in India and can provide researchers in other settings with hierarchical health systems, a template for the development of simulation models of their primary healthcare facilities.

scholarly journals An Entropy-Based Formulation for the Support of Sustainable Mass Customization 4.0

2020 ◽  
Vol 2020 ◽  
pp. 1-21
Author(s):  
César Martínez-Olvera
Keyword(s):  
Energy Consumption ◽  
Mass Customization ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Discrete Event ◽  
Energy Productivity ◽  
Event Simulation ◽  
Managerial Implications ◽  
Optimal Resource ◽  
Information And Communication

Industry 4.0, an information and communication umbrella of terms that includes the Internet of Things (IoT) and cyber-physical systems, aims to ensure the future of the manufacturing industry competing in a proper environment of mass customization: demand for short delivery time, high quality, and small-lot products. Within this context of an Industry 4.0 mass customization environment, success depends on its sustainability, where the latter can only be achieved by the manufacturing efficiency of the smart factory-based Industry 4.0 transforming processes. Even though Industry 4.0 is associated with an optimal resource and energy productivity/efficiency, it becomes necessary to answer if the integration of Industry 4.0 elements (like CPS) has a favorable sustainability payoff. This requires performing energy consumption what-if analyses. The original contribution of this paper is the use of the entropy-based formulation as an alternative way of performing the initial steps of the energy consumption what-if analyses. The usefulness of the proposed approach is demonstrated by comparing the results of a discrete-event simulation model of mass customization 4.0 environment and the values obtained by using the entropy-based formulation. The obtained results suggest that the entropy-based formulation acts as a fairly good trend indicator of the system’s performance parameters increase/decrease. The managerial implications of these findings are presented at the end of this document.

scholarly journals Modeling and Analysis of the Rotor Blade Refurbishment Process at the Corpus Christi Army Depot

2015 ◽  
Vol 3 (2) ◽  
pp. 124-130
Author(s):  
Nathanial Green ◽  
David Jaye ◽  
Stephen Kerns ◽  
Gene Lesinski
Keyword(s):  
Rotor Blade ◽  
Performance Metrics ◽  
Discrete Event ◽  
Rotor Blades ◽  
Modeling And Analysis ◽  
Corpus Christi ◽  
Event Simulation ◽  
The Impact ◽  
Budget Reductions ◽  
Rotary Wing

Much of the Army’s equipment is coming to the end of its planned life cycle.  At the same time, the Department of Defense and the Army are facing severe budget reductions for the foreseeable future.  As a result, the planned modernization and acquisition of new equipment will be delayed.  The Army is now forced to keep and maintain current equipment as opposed to retiring old systems and buying new ones.  With the increased investment in the current systems, the organizations and depots that maintain and refurbish the Army’s equipment are becoming increasingly valuable assets.  Corpus Christi Army Depot (CCAD) is the Army’s only facility for repair and overhaul of rotary wing aircraft.  CCAD receives approximately 10 rotor blades per day for the Black Hawk helicopter.  Each blade is routed through a detailed inspection and rework process consisting of approximately 67 sequential operations which take approximately 45 days per blade.  Recently CCAD has expanded and reorganized the rotor blade refurbishment facility which provides an opportunity to re-examine processes, adjust positioning of work stations, and improve efficiency.  In this research we develop a discrete-event simulation model of the CCAD rotor blade refurbishment process in order to identify inefficiencies and examine “what if” scenarios to improve key performance metrics.  The key performance metrics used to analyze model input include throughput, work in progress, mean queue time, mean queue size, and workstation utilization.  The baseline model revealed that there were two crucial bottlenecks that severely limited the throughput and overall performance of the refurbishment process.  Adjusting the capacities of these workstations was very effective in reducing the number of blades in WIP and reducing the impact of the queues in front of these stations, but failed to increase the throughput to the desired amount.  Additionally, we found that the loss of one whirl tower’s production would not be a significant factor for CCAD’s performance in terms of throughput since operating with only one whirl tower did not significantly impact metrics of interest for the process.

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