Update cookies preferences

E-book: Performance Evaluation and Benchmarking: 12th TPC Technology Conference, TPCTC 2020, Tokyo, Japan, August 31, 2020, Revised Selected Papers

Edited by , Edited by
  • Format - EPUB+DRM
  • Price: 55,56 €*
  • * the price is final i.e. no additional discount will apply
  • Add to basket
  • Add to Wishlist
  • This ebook is for personal use only. E-Books are non-refundable.

DRM restrictions

  • Copying (copy/paste):

    not allowed

  • Printing:

    not allowed

  • Usage:

    Digital Rights Management (DRM)
    The publisher has supplied this book in encrypted form, which means that you need to install free software in order to unlock and read it.  To read this e-book you have to create Adobe ID More info here. Ebook can be read and downloaded up to 6 devices (single user with the same Adobe ID).

    Required software
    To read this ebook on a mobile device (phone or tablet) you'll need to install this free app: PocketBook Reader (iOS / Android)

    To download and read this eBook on a PC or Mac you need Adobe Digital Editions (This is a free app specially developed for eBooks. It's not the same as Adobe Reader, which you probably already have on your computer.)

    You can't read this ebook with Amazon Kindle

This book constitutes the refereed post-conference proceedings of the 12th TPC Technology Conference on Performance Evaluation and Benchmarking, TPCTC 2020, held in August 2020.
The 8 papers presented were carefully reviewed and cover the following topics: testing ACID compliance in the LDBC social network benchmark; experimental performance evaluation of stream processing engines made easy; revisiting issues in benchmarking metric selection; performance evaluation for digital transformation; experimental comparison of relational and NoSQL document systems; a framework for supporting repetition and evaluation in the process of cloud-based DBMS performance benchmarking; benchmarking AI inference; a domain independent benchmark evolution model for the transaction processing performance council.
Towards Testing ACID Compliance in the LDBC Social Network
Benchmark.- EXPOSE: Experimental Performance Evaluation of Stream Processing
Engines Made Easy.- Revisiting Issues in Benchmarking Metric
Selection.- Performance Evaluation for Digital Transformation.- Experimental
Comparison of Relational and NoSQL Document Systems: the Case of Decision
Support.- A Framework for Supporting Repetition and Evaluation in the Process
of Cloud-based DBMS Performance Benchmarking.- Benchmarking AI Inference:
Where we are in 2020.- A Domain Independent Benchmark Evolution Model for the
Transaction Processing Performance Council.