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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Description
Summary: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 account for wide variability in timeliness and energy dissipation (up to several orders of magnitude). Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing covers dynamic resource allocation heuristics for manycore systems, aiming to provide appropriate guarantees on performance and energy efficiency. It addresses different types of systems, aiming to harmonise the approaches to dynamic allocation across the complete spectrum between systems with little flexibility and strict real-time guarantees all the way to highly dynamic systems with soft performance requirements. Technical topics presented in the book include: • Load and Resource Models• Admission Control• Feedback-based Allocation and Optimisation• Search-based Allocation Heuristics• Distributed Allocation based on Swarm Intelligence• Value-Based AllocationEach of the topics is illustrated with examples based on realistic computational platforms such as Network-on-Chip manycore processors, grids and private cloud environments.
Bibliography:Electronic reproduction. Abingdon: River Publishers, 2022. Requires the Libby app or a modern web browser.
MODID-943f4d11b5b:Taylor & Francis
ISBN:1000794385
9781000794380
8793519087
9788793519084
1003337996
9781003337997
9781000791266
1000791262
DOI:10.1201/9781003337997