TY - GEN
T1 - Energy-Aware HTTP Data Transfers
AU - Alan, Ismail
AU - Kosar, Tevfik
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/11/23
Y1 - 2016/11/23
N2 - Every year, we move more than 1 zettabytes of data over the Internet globally, which consumes several terawatt hours of electricity, and costs billions of US dollars to the world economy. HTTP protocol is used in the majority of these datatransfers, accounting 70% of the global Internet traffic. We claim that HTTP transfers can become more energy efficientwithout any performance degradation, and the overall data movement cost can be reduced drastically. In this paper, we analyze several application-layer parameters that affect the throughput and power consumption in HTTP data transfers, such as the level of parallelism, concurrency, and pipelining. Our experimental results show that up to 80% of energy savings canbe achieved at the sending and receiving nodes during HTTP data transfers and the end-To-end throughput can be increased at the same time.
AB - Every year, we move more than 1 zettabytes of data over the Internet globally, which consumes several terawatt hours of electricity, and costs billions of US dollars to the world economy. HTTP protocol is used in the majority of these datatransfers, accounting 70% of the global Internet traffic. We claim that HTTP transfers can become more energy efficientwithout any performance degradation, and the overall data movement cost can be reduced drastically. In this paper, we analyze several application-layer parameters that affect the throughput and power consumption in HTTP data transfers, such as the level of parallelism, concurrency, and pipelining. Our experimental results show that up to 80% of energy savings canbe achieved at the sending and receiving nodes during HTTP data transfers and the end-To-end throughput can be increased at the same time.
KW - Data transfer performance
KW - Energy efficiency
KW - Energy-Aware data transfers
KW - Protocol tuning
UR - https://www.scopus.com/pages/publications/85006817570
U2 - 10.1109/ICDCSW.2016.26
DO - 10.1109/ICDCSW.2016.26
M3 - Conference contribution
AN - SCOPUS:85006817570
T3 - Proceedings - 2016 IEEE 36th International Conference on Distributed Computing Systems Workshops, ICDCSW 2016
SP - 37
EP - 42
BT - Proceedings - 2016 IEEE 36th International Conference on Distributed Computing Systems Workshops, ICDCSW 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 36th IEEE International Conference on Distributed Computing Systems Workshops, ICDCSW 2016
Y2 - 27 June 2016 through 30 June 2016
ER -