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: ā¢ Load and Resource Modelsā¢ Admission Controlā¢ Feedback-based Allocation and Optimisationā¢ Search-based Allocation Heuristicsā¢ Distributed Allocation based on Swarm Intelligenceā¢ 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.
eBook - ePub
Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing
- 178 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing
About this book
Trusted byĀ 375,005 students
Access to over 1 million titles for a fair monthly price.
Study more efficiently using our study tools.
Information
Table of contents
- Cover
- Half Title
- Series Page
- Title Page
- Copyright Page
- Table of Contents
- Preface
- Acknowledgements
- List of Figures
- List of Tables
- List of Algorithms
- List of Abbreviations
- 1 Introduction
- 2 Load and Resource Models
- 3 Feedback-Based Admission Control Heuristics
- 4 Feedback-Based Allocation and Optimisation Heuristics
- 5 Search-Based Heuristics for Modal Application
- 6 Swarm Intelligence Algorithms for Dynamic Task Reallocation
- 7 Value-Based Allocation
- References
- About the Authors
Frequently asked questions
Yes, you can cancel anytime from the Subscription tab in your account settings on the Perlego website. Your subscription will stay active until the end of your current billing period. Learn how to cancel your subscription
No, books cannot be downloaded as external files, such as PDFs, for use outside of Perlego. However, you can download books within the Perlego app for offline reading on mobile or tablet. Learn how to download books offline
Perlego offers two plans: Essential and Complete
- Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
- Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 990+ topics, weāve got you covered! Learn about our mission
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more about Read Aloud
Yes! You can use the Perlego app on both iOS and Android devices to read anytime, anywhere ā even offline. Perfect for commutes or when youāre on the go.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app
Yes, you can access Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing by Leando Soares Indrusiak,Piotr Dziurzanski,Amit Kumar Singh in PDF and/or ePUB format, as well as other popular books in Computer Science & Systems Architecture. We have over one million books available in our catalogue for you to explore.