Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing

The availability of many-core computing platforms enables a wide variety of technical solutions for systems across the embedded, high-performance and cloud computing domains. However, large scale manycore systems are notoriously hard to optimise. Choices regarding resource allocation alone can accou...

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Bibliographic Details
Main Authors:	Indrusiak, Leandro Soares, Dziurzanski, Piotr, Singh, Amit Kumar
Format:	eBook
Language:	English
Published:	Denmark River Publishers 2016 Routledge Taylor & Francis
Edition:	1
Series:	River Publishers series in information science and technology
Subjects:	Classical mechanics Cloud computing Computer Architecture Computer architecture and logic design Computer science Computer Technology Computers Computing and Information Technology Data processing Computer science Distributed Network Systems Embedded computer systems Energy High performance computing INFORMATIONSCIENCEnetBASE ITECHnetBASE Mathematics and Science Nonfiction Physics Resource allocation SCI-TECHnetBASE Science STMnetBASE Video Streams Sporadic Pheromone Level Dynamic Voltage Frequency Scaling Pid Controller Interval Algebra Genetic Algorithm Open Loop System Execution Time Normalised Slack Controller Output WCET Task Migration Stress Tests Admission Controller Jobs Arrive Schedulability Analysis Hard Real Time Constraint Monitoring Hard Real Time Aperiodic Controller Tuning Probabilistic load Communication Overhead Load Model Schedulability Test Worst Case Execution Time Controllers Block Platform Model Core Utilisation Dynamic Workloads Singleton Problem Formulation Hard Real Time Systems TQ
ISBN:	1000794385, 9781000794380, 8793519087, 9788793519084, 1003337996, 9781003337997, 9781000791266, 1000791262
Online Access:	Get full text
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