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

Name: Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing
Brand: Taylor & Francis
SKU: 9788793519084
Price: 6032.0 INR
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ISBN13: 9788793519084
Binding: Hardcover
Subject: N/A
Publisher: Taylor & Francis
Publisher Imprint: River Publishers
Publication Date: October 31, 2016
Pages: 160
Original Price: GBP 71.99
Language: English
Edition: N/A
Item Weight: 427 grams
BISAC Subject(s): Distributed Systems / Cloud Computing, Distributed Systems / General, and Data Science / Neural Networks

About The Book

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 Allocation

Each of the topics is illustrated with examples based on realistic computational platforms such as Network-on-Chip manycore processors, grids and private cloud environments.

About The Author

Singh, Amit Kumar: - Amit Kumar Singh received the B.Tech. degree in Electronics Engineering from Indian Institute of Technology (Indian School of Mines), Dhanbad, India, in 2006. Thereafter, he worked with HCL Technologies, India before starting his Ph.D. at School of Computer Engineering, Nanyang Technological University (NTU), Singapore. He completed his Ph.D. in 2012. He worked as a post-doctoral researcher at National University of Singapore (NUS) from 2012 to 2014 and at University of York, UK from 2014 to 2016. Currently, he is working as senior research fellow at University of Southampton, UK. His research interests include system level design-time and run-time optimizations of 2D and 3D multi-core systems with focus on performance, energy, temperature, and reliability. He has published over 45 papers in these areas in leading international journals/conferences. He was the recepient of ISORC 2016 Best Paper Award, PDP 2015 Best Paper Award, HiPEAC Paper Award, and GLSVLSI 2014 Best Paper Candidate. He has served on the TPC of IEEE/ACM conferences like ISED, MES, NoCArc and ESTIMedia.

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