Towards Zero-Carbon Data Movement at the HPC and Cloud Data Centers.
2023 IEEE John Vincent Atanasoff International Symposium on Modern Computing (JVA)(2023)
摘要
The proliferation of scientific applications, the Internet of Things (IoT), social media, and e-commerce has led to an exponential growth in data generation, consequently fueling the demand for large-scale data analytics systems. Consequently, the transfer of data over the Internet has escalated to an unprecedented scale, surpassing the zettabyte mark [37]. As data generation rates continue to surge, the carbon footprint associated with data movement has emerged as a pressing concern, particularly for High-Performance Computing (HPC) and Cloud data centers. Projections indicate that by 2030, information and communication technologies will account for 8%–21% of global electricity usage [6]. HPC and Cloud data centers and communication networks contribute to 69% of the overall power consumption within the IT sector [4]. Within this segment, data transfers alone consume over a hundred terawatt-hours of energy annually, amounting to a staggering $20 billion USD [6]. The environmental implications are equally monumental, with information and communication technologies projected to be responsible for a staggering 14% of carbon emissions by 2040 [6]. These trends have spurred significant efforts to reduce energy consumption in hardware and software systems, as well as networking devices.
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关键词
green computing,sustainability,energy efficient data transfers,application-layer optimization,adaptive tuning
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