logo
Product categories

EbookNice.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link.  https://ebooknice.com/page/post?id=faq


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookNice Team

(Ebook) Fair Scheduling in High Performance Computing Environments by Art Sedighi, Milton Smith ISBN 9783030145675, 9783030145682, 3030145670, 3030145689

  • SKU: EBN-10486496
Zoomable Image
$ 32 $ 40 (-20%)

Status:

Available

5.0

25 reviews
Instant download (eBook) Fair Scheduling in High Performance Computing Environments after payment.
Authors:Art Sedighi, Milton Smith
Pages:0 pages.
Year:2019
Editon:1st ed.
Publisher:Springer International Publishing
Language:english
File Size:5.7 MB
Format:pdf
ISBNS:9783030145675, 9783030145682, 3030145670, 3030145689
Categories: Ebooks

Product desciption

(Ebook) Fair Scheduling in High Performance Computing Environments by Art Sedighi, Milton Smith ISBN 9783030145675, 9783030145682, 3030145670, 3030145689

This book introduces a new scheduler to fairly and efficiently distribute system resources to many users of varying usage patterns compete for them in large shared computing environments. The Rawlsian Fair scheduler developed for this effort is shown to boost performance while reducing delay in high performance computing workloads of certain types including the following four types examined in this book:

i. Class A – similar but complementary workloads

ii. Class B – similar but steady vs intermittent workloads

iii. Class C – Large vs small workloads

iv. Class D – Large vs noise-like workloads

This new scheduler achieves short-term fairness for small timescale demanding rapid response to varying workloads and usage profiles. Rawlsian Fair scheduler is shown to consistently benefit workload Classes C and D while it only benefits Classes A and B workloads where they become disproportionate as the number of users increases.

A simulation framework, dSim, simulates the new Rawlsian Fair scheduling mechanism. The dSim helps achieve instantaneous fairness in High Performance Computing environments, effective utilization of computing resources, and user satisfaction through the Rawlsian Fair scheduler.

*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

Related Products