TY - GEN
T1 - Towards Zero-Carbon Data Movement at the HPC and Cloud Data Centers
AU - Kosar, Tevfik
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - adaptive tuning
KW - application-layer optimization
KW - energy efficient data transfers
KW - green computing
KW - sustainability
UR - https://www.scopus.com/pages/publications/85184852571
U2 - 10.1109/JVA60410.2023.00019
DO - 10.1109/JVA60410.2023.00019
M3 - Conference contribution
AN - SCOPUS:85184852571
T3 - Proceedings - 2023 IEEE John Vincent Atanasoff Symposium on Modern Computing, JVA 2023
SP - 54
EP - 55
BT - Proceedings - 2023 IEEE John Vincent Atanasoff Symposium on Modern Computing, JVA 2023
A2 - Ali, Shaukat
A2 - Ardagna, Claudio A.
A2 - Atukorala, Nimanthi
A2 - Barzen, Johanna
A2 - Chang, Carl K.
A2 - Chang, Rong N.
A2 - Fan, Jing
A2 - Faro, Ismael
A2 - Feld, Sebastian
A2 - Fox, Geoffrey C.
A2 - Jin, Zhi
A2 - Leymann, Frank
A2 - Neukart, Florian
A2 - de la Puente, Salvador
A2 - Wimmer, Manuel
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE John Vincent Atanasoff Symposium on Modern Computing, JVA 2023
Y2 - 2 July 2023 through 8 July 2023
ER -