menu
{ "item_title" : "Cloud Computing", "item_author" : [" Frederic Magoules", "Jie Pan", "Fei Teng "], "item_description" : "This book presents various technologies that demonstrate how cloud computing can meet business requirements and serve as the infrastructure of multidimensional data analysis applications. Addressing performance issues, it explores the evolution of classical techniques and describes completely new methods and innovative algorithms. The text covers scheduling algorithms for real-time tasks and practical algorithms for user bidding and auctioneer pricing. It explains approaches to data analytical query processing, including pre-computing, data indexing, and data partitioning. Applications of MapReduce, a new parallel programming model, are also presented. ", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/0/36/738/084/0367380846_b.jpg", "price_data" : { "retail_price" : "89.99", "online_price" : "89.99", "our_price" : "89.99", "club_price" : "89.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Cloud Computing|Frederic Magoules

Cloud Computing : Data-Intensive Computing and Scheduling

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

This book presents various technologies that demonstrate how cloud computing can meet business requirements and serve as the infrastructure of multidimensional data analysis applications. Addressing performance issues, it explores the evolution of classical techniques and describes completely new methods and innovative algorithms. The text covers scheduling algorithms for real-time tasks and practical algorithms for user bidding and auctioneer pricing. It explains approaches to data analytical query processing, including pre-computing, data indexing, and data partitioning. Applications of MapReduce, a new parallel programming model, are also presented.

This item is Non-Returnable

Details

  • ISBN-13: 9780367380847
  • ISBN-10: 0367380846
  • Publisher: CRC Press
  • Publish Date: June 2019
  • Dimensions: 9.1 x 6 x 0.5 inches
  • Shipping Weight: 0.75 pounds
  • Page Count: 232

Related Categories

You May Also Like...

    1

BAM Customer Reviews