@inproceedings{a444a246e5064f648aee7b5524eb6efd,
title = "Adaptive Data Center Network Traffic Management for Distributed High Speed Storage",
abstract = "The emerging high-speed storage technologies and the ever-growing need for data storage are placing increasing pressure on data center networks. In this paper, we develop novel mechanisms for dynamically deciding when to move storage chunks or alter the number of active copies to alleviate congestion during high traffic episodes and to enable traffic consolidation (and hence network energy savings) during low traffic periods. Both actions are essential due to increasing burstiness of data center traffic. Using extensive simulations with modified NS3 network simulator we provide deep insights into the migration vs. replication tradeoff. We also show that under traffic bursts, a careful replication can provide up to 47% improvement in latency with read-dominated traffic, and strategic data migration to a low utilized node can provide up to 22% improvement in delays with write dominated traffic.",
author = "Madhurima Ray and Joyanta Biswas and Amitangshu Pal and Krishna Kant",
note = "Funding Information: This research was supported by NSF grants CNS-1422921 and IIP-1439672 Publisher Copyright: {\textcopyright} 2019 IEEE.; 44th Annual IEEE Local Computer Networks Symposium on Emerging Topics in Networking, LCN Symposium 2019 ; Conference date: 14-10-2019 Through 17-10-2019",
year = "2019",
month = oct,
doi = "10.1109/LCNSymposium47956.2019.9000662",
language = "English (US)",
series = "Proceedings - 2019 IEEE 44th Local Computer Networks Symposium on Emerging Topics in Networking, LCN Symposium 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "166--174",
editor = "Karl Andersson and Hwee-Pink Tan and Sharief Oteafy",
booktitle = "Proceedings - 2019 IEEE 44th Local Computer Networks Symposium on Emerging Topics in Networking, LCN Symposium 2019",
address = "United States",
}