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{ "item_title" : "Virtual Machine in Cloud Data Centers for Energy Optimization", "item_author" : [" Sebagenzi Jason "], "item_description" : "Cloud computing has experienced significant growth over the last decade, which has relieved the companies investing in IT infrastructures. This has in turn created the demand for designing energy-efficient architectures where economic and environmental expenditure needs can be addressed. This type of architecture takes cloud into the domain of green computing.The challenge of productively managing a cluster of physical servers preventing bottlenecks and energy wastage is not totally solved by cloud data centers. Modern cloud data centers are facing the difficulty of consistently growing complexity due to the expanding number of clients and their enlarging resource demands.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/6/20/921/088/6209210880_b.jpg", "price_data" : { "retail_price" : "80.00", "online_price" : "80.00", "our_price" : "80.00", "club_price" : "80.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Virtual Machine in Cloud Data Centers for Energy Optimization|Sebagenzi Jason

Virtual Machine in Cloud Data Centers for Energy Optimization

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Overview

Cloud computing has experienced significant growth over the last decade, which has relieved the companies investing in IT infrastructures. This has in turn created the demand for designing energy-efficient architectures where economic and environmental expenditure needs can be addressed. This type of architecture takes cloud into the domain of green computing.The challenge of productively managing a cluster of physical servers preventing bottlenecks and energy wastage is not totally solved by cloud data centers. Modern cloud data centers are facing the difficulty of consistently growing complexity due to the expanding number of clients and their enlarging resource demands.

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Details

  • ISBN-13: 9786209210884
  • ISBN-10: 6209210880
  • Publisher: LAP Lambert Academic Publishing
  • Publish Date: November 2025
  • Dimensions: 9 x 6 x 0.3 inches
  • Shipping Weight: 0.4 pounds
  • Page Count: 128

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