Robust Resource Allocation In Heterogeneous Parallel And Distributed Computing Systems
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Robust Resource Allocation In Heterogeneous Parallel And Distributed Computing Systems
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Author : James T. Smith
language : en
Publisher:
Release Date : 2008
Robust Resource Allocation In Heterogeneous Parallel And Distributed Computing Systems written by James T. Smith and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Computer scheduling categories.
Robust Resource Allocation For Parallel Distributed Computing Systems
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Author : Vladimir Shestak
language : en
Publisher: LAP Lambert Academic Publishing
Release Date : 2010-05
Robust Resource Allocation For Parallel Distributed Computing Systems written by Vladimir Shestak and has been published by LAP Lambert Academic Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-05 with Computer networks categories.
This book investigates a problem of robust resource allocation for distributed computing systems operating under QoS constraints. Often, such systems function in a physical environment replete with uncertainty causing the amount of processing required over time to fluctuate substantially. The first two chapters show how an effective resource allocation can be achieved in the shipboard distributed computing system and IBM cluster based imaging system. The general form of stochastic robustness metric is presented next, where the relationship between uncertainty in system and its impact on performance are linked stochastically. The utility of the established metric is exploited for the large class of distributed systems operating on periodically updated data sets. One of the major reasons for possible QoS violations in distributed systems is a loss of resources, frequently caused by abnormal operating conditions. The last chapter describes a solution method based on the concepts of the Derman- Lieberman- Ross theorem. The experimental results indicate a significant potential of this approach to generate robust resource allocations in unstable distributed systems.
Robust Resource Allocation Methods For Qos Constrained Parallel And Distributed Computing Systems
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Author : Vladimir Shestak
language : en
Publisher:
Release Date : 2008
Robust Resource Allocation Methods For Qos Constrained Parallel And Distributed Computing Systems written by Vladimir Shestak and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Computer networks categories.
Robust Resource Allocation Techniques On Homogeneous Distributed System
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Author :
language : en
Publisher:
Release Date :
Robust Resource Allocation Techniques On Homogeneous Distributed System written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Distributed computing systems utilize various resources with different capabilities to satisfy the requirements of diverse task mixtures and to maximize the system performance. Such systems often operate in an environment where certain desired performance features degrade due to unpredictable circumstances, such as higher than expected work load or inaccuracies in the estimation of task and system parameters. Thus, when resources are allocated to tasks it is desirable to do this in a way that makes the system performance on these tasks robust against unpredictable changes. The system is considered robust if the actual makespan under the perturbed conditions does not exceed the required time constraint. The goal is to maximize the collective allowable error in execution time estimation for the tasks that can occur without the makespan exceeding the constraint.
Theory Of Resource Allocation For Robust Distributed Computing
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Author : Jorge E. Pezoa
language : en
Publisher: LAP Lambert Academic Publishing
Release Date : 2011-08-01
Theory Of Resource Allocation For Robust Distributed Computing written by Jorge E. Pezoa and has been published by LAP Lambert Academic Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-08-01 with categories.
Lately, distributed computing (DC) has emerged in several application scenarios such as grid computing, high-performance and reconfigurable computing, wireless sensor networks, peer-to-peer networks, and donation grids. When DC is performed in these scenarios, the distributed computing system (DCS) supporting the applications not only exhibits heterogeneous computing resources and a significant communication latency, but also becomes highly dynamic due to the communication network as well as the computing servers are affected by a wide class of anomalies that change the topology of the system in a random fashion. These anomalies exhibit spatial and/ortemporal correlation, may inflict a large amount of damage to the system, and induce further failures in other servers. In order to provide a robust DC environment in the presence of component failures, it is key to develop a general framework for accuratelymodeling the complex dynamics of a DCS. In this book a general probabilistic approach has been undertaken for modeling and characterizing the performance and reliability of a general class of DCS
Handbook Of Parallel Computing
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Author : Sanguthevar Rajasekaran
language : en
Publisher: CRC Press
Release Date : 2007-12-20
Handbook Of Parallel Computing written by Sanguthevar Rajasekaran and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-12-20 with Computers categories.
The ability of parallel computing to process large data sets and handle time-consuming operations has resulted in unprecedented advances in biological and scientific computing, modeling, and simulations. Exploring these recent developments, the Handbook of Parallel Computing: Models, Algorithms, and Applications provides comprehensive coverage on a
Reliable Resource Allocation For Distributed Computing Systems
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Author : Masnida Hussin
language : en
Publisher:
Release Date : 2011
Reliable Resource Allocation For Distributed Computing Systems written by Masnida Hussin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Electronic data processing categories.
Robust Resource Allocation Algorithms In Real Time Distributed System
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Author : Pratibha Zunjare
language : en
Publisher: LAP Lambert Academic Publishing
Release Date : 2012
Robust Resource Allocation Algorithms In Real Time Distributed System written by Pratibha Zunjare and has been published by LAP Lambert Academic Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with categories.
Real time distributed systems (RTDS) operate in an environment that un- dergoes unpredictable changes causing certain system performance features to degrade. Such unpredictability can be the result of sudden machine failures, in- creases in system load, or errors caused by inaccurate initial estimation. These systems need robustness to guarantee limited degradation despite uctuations in the behavior of its component parts or environment. The robustness gives an idea of the stability of the solution with regards to another performance metric such as schedule length, load balance of an application, queue waiting time of batch scheduler, etc. Designing robust systems for such environments involves determining resource allocations that can account for uncertainty in estimated system parameters. Robustness of the system can be achieved with proper resource allocation.
Architecture Of Computing Systems Arcs 2006
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Author : Werner Grass
language : en
Publisher: Springer Science & Business Media
Release Date : 2006
Architecture Of Computing Systems Arcs 2006 written by Werner Grass and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Computers categories.
This book constitutes the refereed proceedings of the 19th International Conference on Architecture of Computing Systems, ARCS 2006, held in March 2006. The 32 revised full papers presented together with two invited and keynote papers were carefully reviewed and selected from 174 submissions. The papers are organized in topical sections on pervasive computing, memory systems, architectures, multiprocessing, energy efficient design, power awareness, network protocols, security, and distributed networks.
Computational Science Iccs 2020
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Author : Valeria V. Krzhizhanovskaya
language : en
Publisher: Springer Nature
Release Date : 2020-06-18
Computational Science Iccs 2020 written by Valeria V. Krzhizhanovskaya and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-18 with Computers categories.
The seven-volume set LNCS 12137, 12138, 12139, 12140, 12141, 12142, and 12143 constitutes the proceedings of the 20th International Conference on Computational Science, ICCS 2020, held in Amsterdam, The Netherlands, in June 2020.* The total of 101 papers and 248 workshop papers presented in this book set were carefully reviewed and selected from 719 submissions (230 submissions to the main track and 489 submissions to the workshops). The papers were organized in topical sections named: Part I: ICCS Main Track Part II: ICCS Main Track Part III: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Agent-Based Simulations, Adaptive Algorithms and Solvers; Applications of Computational Methods in Artificial Intelligence and Machine Learning; Biomedical and Bioinformatics Challenges for Computer Science Part IV: Classifier Learning from Difficult Data; Complex Social Systems through the Lens of Computational Science; Computational Health; Computational Methods for Emerging Problems in (Dis-)Information Analysis Part V: Computational Optimization, Modelling and Simulation; Computational Science in IoT and Smart Systems; Computer Graphics, Image Processing and Artificial Intelligence Part VI: Data Driven Computational Sciences; Machine Learning and Data Assimilation for Dynamical Systems; Meshfree Methods in Computational Sciences; Multiscale Modelling and Simulation; Quantum Computing Workshop Part VII: Simulations of Flow and Transport: Modeling, Algorithms and Computation; Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning; Software Engineering for Computational Science; Solving Problems with Uncertainties; Teaching Computational Science; UNcErtainty QUantIficatiOn for ComputationAl modeLs *The conference was canceled due to the COVID-19 pandemic.