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Run-Time Accuracy Reconfigurable Stochastic Computing for Dynamic Reliability and Power Management [article]

Shuyuan Yu, Han Zhou, Shaoyi Peng, Hussam Amrouch, Joerg Henkel, Sheldon X.-D. Tan
2020 arXiv   pre-print
In this paper, we propose a novel accuracy-reconfigurable stochastic computing (ARSC) framework for dynamic reliability and power management.  ...  Different than the existing stochastic computing works, where the accuracy versus power/energy trade-off is carried out in the design time, the new ARSC design can change accuracy or bit-width of the data  ...  CONCLUSION In this paper, we have proposed a novel accuracy-reconfigurable stochastic computing (ARSC) framework for dynamic reliability and power management.  ... 
arXiv:2004.13320v1 fatcat:5tazzcx5cjbiphqoyivueolusm

Dependability-driven runtime management of service oriented architectures

Hanen Haouas, Johann Bourcier
2012 2012 4th International Workshop on Principles of Engineering Service-Oriented Systems (PESOS)  
In this paper, we propose a framework for the autonomic management of service oriented application based on a dependability objective.  ...  All these systems are progressively integrated in our daily environment and their increasing importance have raised a dependability issue.  ...  Most of these measurements have been performed regardless the complex and dynamic evolution of system specification and design at run-time.  ... 
doi:10.1109/pesos.2012.6225934 dblp:conf/icse/HaouasB12 fatcat:rukpdrfsbnhhvmvcogk64ciolu

Stochastic Management of Automated Grids in a Social-Economic-Technical Framework Considering Switching Scheme and Renewable Sources

Zahra Mostowfi, Masoud Rashidinead, Amir Abdollahi
2020 IET Generation, Transmission & Distribution  
Such a grid structure requires a powerful and reliable framework which can consider the correlation effects between wind turbines and run optimal switching to reconfigure the grid, simultaneously.  ...  Therefore, a novel stochastic framework based on scenario reduction is deployed which can model the uncertainties of the wind turbines, market price and load demands in the operation time horizon.  ...  This means a filtering ratio of 20% to reduce the computation burden and at the same time keep the accuracy level.  ... 
doi:10.1049/iet-gtd.2020.0393 fatcat:p5npyvbhjrf55nymhmmtxhdzsa

General Aspects, Islanding Detection, and Energy Management in Microgrids: A Review

Md Mainul Islam, Mahmood Nagrial, Jamal Rizk, Ali Hellany
2021 Sustainability  
In MGs, an energy management system (EMS) is essential for the optimal use of DGs in intelligent, sustainable, reliable, and integrated ways.  ...  However, further development of IDTs and EMSs is still required to achieve more reliable operation and cost-effective energy management of MGs in the future.  ...  A two-level stochastic EMS was proposed in [160] for the active energy management of a grid-tied MG.  ... 
doi:10.3390/su13169301 fatcat:aquzubrfbne4fgunnvvqpy63fy

Review of Post-Prognostics Decision-Making in Prognostics and Health Management

Omar Bougacha, Christophe Varnier, Noureddine Zerhouni
2021 International Journal of Prognostics and Health Management  
Additionally, this paper presents a synthesis of the previous works that helps identify new trends and deficiencies in the decision-making process. The synthesis can guide efforts for future work.  ...  and health management.  ...  The importance of those interactions offers a promising field of research in prognostics and health management.  ... 
doi:10.36001/ijphm.2020.v11i2.2928 fatcat:ljchziptpvcark32jpxkf6qlg4

Computational Air Traffic Management

Marc Anthony Azzopardi, James F. Whidborne
2011 2011 IEEE/AIAA 30th Digital Avionics Systems Conference  
This work advances the field of ATM as well as the fields of Computational Intelligence and Dynamic Optimisation of High Dimensionality Non-Convex Search Spaces. iii DEDICATIONS To my brother Carl, my  ...  being compounded by the inability of air traffic controllers to optimise ATM operation in real-time.  ...  for large systems such as weather and had rendered progress in the area exceeding difficult until the advent of Computational Fluid Dynamics (CFD) which uses computers to evaluate these equations numerically.However  ... 
doi:10.1109/dasc.2011.6095967 fatcat:5kfu6ba5h5g7pdffh7z3ftdjai

Management integration framework in a shop-floor employing self-contained assembly unit for optoelectronic products

Maurizio Fiasche, Gaia Ripamonti, Francesco G. Sisca, Marco Taisch, Anna A. Valente
2015 2015 IEEE 1st International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI)  
The management framework presented in this work aims to sustain any company employing a self-contained automated and re-configurable robotic assembly island to organize and unify the development of its  ...  In this paper the production planning, scheduling and control issues of white'R for HMLV optoelectronics is discussed and a management integration framework is proposed.  ...  The field of reconfigurable robots has seen significant progress over the last twenty years. The work by Stoy et al.  ... 
doi:10.1109/rtsi.2015.7325159 fatcat:l53frkruwzcc3o4ft27luiljgu

Coordinated management of multiple interacting resources in chip multiprocessors: A machine learning approach

Ramazan Bitirgen, Engin Ipek, Jose F. Martinez
2008 2008 41st IEEE/ACM International Symposium on Microarchitecture  
As a result, it becomes possible to make reliable comparisons among different points in a vast and dynamically changing allocation space, allowing us to adapt our allocation decisions as applications undergo  ...  Although several proposals that address the management of a single microarchitectural resource have been published in the literature, coordinated management of multiple interacting resources on CMPs remains  ...  This work was supported in part by NSF awards CNS-0509404, CNS-0720773, and CAREER CCF-0545995, as well as gifts from Intel and Microsoft.  ... 
doi:10.1109/micro.2008.4771801 dblp:conf/micro/BitirgenIM08 fatcat:oezc3lomsfhetefb7dfftuopae

An adaptive power management framework for autonomic resource configuration in cloud computing infrastructures

Ziming Zhang, Qiang Guan, Song Fu
2012 2012 IEEE 31st International Performance Computing and Communications Conference (IPCCC)  
In order to run and manage resource-intensive high-performance applications, large-scale computing and storage platforms have been evolving rapidly in various domains in both academia and industry.  ...  In this dissertation, we develop an autonomic power-aware system management framework for large-scale computer systems.  ...  Currently, power cap on some compute nodes can be statically specified through BIOS settings at boot time or in newer systems dynamically set at run time.  ... 
doi:10.1109/pccc.2012.6407738 dblp:conf/ipccc/ZhangGF12 fatcat:5d3gpczvknbjjb2ilk6zrys7si

Review of Control and Energy Management Approaches in Micro-Grid Systems

Abdellatif Elmouatamid, Radouane Ouladsine, Mohamed Bakhouya, Najib El Kamoun, Mohammed Khaidar, Khalid Zine-Dine
2020 Energies  
This work gives a concise state-of-the-art overview of the main control approaches for energy management in MG systems.  ...  Principally, this study is carried out in order to define the suitable control approach for MGs for energy management in buildings.  ...  The experimental results showed the performance of the proposed strategy to work in real-time with high accuracy.  ... 
doi:10.3390/en14010168 fatcat:ubvnq5cklbb45nvcnylw7cixse

A Review: Prognostics and Health Management in Automotive and Aerospace

Van Duc Nguyen, Marios Kefalas, Kaifeng Yang, Asteris Apostolidis, Markus Olhofer, Steffen Limmer, Thomas B¨ack
2019 International Journal of Prognostics and Health Management  
It can also be considered as the starting point for researchers and practitioners in general to assist them through PHM implementation and help them to accomplish their work more easily.  ...  In general, PHM systems use real-time and historical state information of subsystems and components of the operating systems to provide actionable information, enabling intelligent decision-making for  ...  ACKNOWLEDGEMENTS This work is part of the research programme Smart Industry SI2016 with project name CIMPLO and project number 15465, which is partly financed by the Netherlands Organisation for Scientific  ... 
doi:10.36001/ijphm.2019.v10i2.2730 fatcat:4xe5ylcxy5boxchrna2bggckba

Energy management in a cloud‐based cyber‐physical system

Efe F. Orumwense, Khaled M. Abo‐Al‐Ez
2021 IET Cyber-Physical Systems  
This, however, assists in managing the amount of resources to be utilised for a specific amount of workload.  ...  The fusion of Cloud computing and CPS gives rise to Cloud-based CPS; Cloud computing will no doubt provide numerous opportunities for CPSs to increase their capabilities by taking advantage of the resources  ...  CPS possesses the properties of autonomy, dynamic reconfiguration, security, diversity, reliability and real-time [14] .  ... 
doi:10.1049/cps2.12008 fatcat:myauuzx5ovculhlwga2og3ofx4

Electrical Market Management Considering Power System Constraints in Smart Distribution Grids

Poria Hasanpor Divshali, Bong Choi
2016 Energies  
A multi-agent control system gave this SG the ability of real-time reconfiguration and power supply optimization [17] .  ...  In [27] the authors reviewed the standardization roadmaps of SG around the world and proposed some recommendations for future work in this area.  ...  Therefore, it is difficult to select an appropriate number of scenarios to balance modeling accuracy, solution feasibility, and computational efficiency.  ... 
doi:10.3390/en9060405 fatcat:jygdsc56cjdfjgtbnyqzb2j4ja

Vehicular Cloud Resource Management, Issues and Challenges: A Survey

Wiseborn M. Danquah, D. Turgay Altilar
2020 IEEE Access  
Application performance monitoring involves checking the progress of applications to ascertain whether they are running smoothly or not.  ...  It is computed as the total time the system is running divided by the number of breakdowns that occurred over the same period.  ... 
doi:10.1109/access.2020.3027637 fatcat:qwdgbyyasbg75ach4nc7itl6ny

Access and Radio Resource Management for IAB Networks Using Deep Reinforcement Learning

Malcolm M. Sande, Mduduzi C. Hlophe, Bodhaswar T. Maharaj
2021 IEEE Access  
Here, the resource management problem was converted into a constrained problem using Markov decision processes and dynamic power management, where a deep neural network was trained for optimal power allocation  ...  Since traditional adaptive traffic signal control cannot resolve this type of congestion, realizing context in the network and adapting resource allocation based on real-time parameters is an attractive  ...  Because of the power consumption issues in the RA framework, the problem was converted into a constrained problem using MDPs and dynamic power management.  ... 
doi:10.1109/access.2021.3104322 fatcat:of7ou4cqerbd5pdk7vpbfxtq6e
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