Payload fragmentation framework for high-performance computing in cloud environment

Vivek, V.; Srinivasan, Raghunathan; Blessing, R. Elijah; Dhanasekaran, R.

doi:10.1007/s11227-018-2660-7

Cited by 3 publications

(1 citation statement)

References 13 publications

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“…The calculation of energy loss by calorific value can only calculate the energy loss when energy is converted to each other, and the lack of energy can not express the problem of energy quality transformation in the process of energy conversion. Analyze the energy Internet, and analyze the chemical and physical changes of the system through thermochemical equations and heat exchange [13][14]. Analyzing the value of the whole system can also analyze a certain part, find out the part with the lowest efficiency, strengthen it, and seek the most efficient energy-saving scheme.…”

Section: Ece Analysis Theory Based On CC Environmentmentioning

confidence: 99%

Energy Conversion Efficiency in Cloud Computing Environment

2021

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With the requirements of large-scale computing and green concepts, cloud computing(CC) has become a hot topic. As one of the key problems in CC, energy conversion efficiency(ECE) has also received more and more optimized solutions from all angles under the attention of many scholars. This paper studies the ECE in CC environment, introduces the basic theory and related knowledge of CC, as well as the whole concept and framework of CC, discusses the ECE analysis theory based on CC environment, and analyzes the algorithm of energy conversion under CC technology. On this basis, the conversion efficiency is analyzed and studied, and good results are achieved.

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Section: Ece Analysis Theory Based On CC Environmentmentioning

confidence: 99%