Distributed Information-agnostic Flow Scheduling in Data Centers based on Wait-Time

Lei, Kai1,4; Li, Keke1; Xing, Jie1; Jin, Bo3; Wang, Yi2,3,4

10.1109/GLOCOM.2018.8647622

2018

2334-0983

978-1-5386-4728-8

2018 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM)

1-7

9-13 Dec. 2018

Abu Dhabi, United arab emirates

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

Existing flow scheduling schemes in Data Center Network (DCN) are designed mainly to minimize the flow complete time (FCT) of short flows and do not consider optimizing the FCT of latency-sensitive long flows (e.g. VR video streaming, interactive artificial intelligence question&answer stream). Besides, among these traffic scheduling schemes, the information-aware schemes (e.g. (LDCT)-D-2, (DTCP)-T-2) are hard to deploy in practice since they assume prior knowledge of flow information (e.g. flow size); and the information-agnostic scheme (i.e. PIAS), which is based on the premise that flow size is not known a priori, requires a central server, causing a poor scalability in large network scales.

Data Center Networks Information-Agnostic Distributed Flow Scheduling Wait-Time Flow Complete Time

通讯

英语

CPCI-S ; EI

Guangdong Province Key Laboratory of Popular High Performance Computers[2017B030314073]

Engineering ; Telecommunications

Engineering, Electrical & Electronic ; Telecommunications

WOS:000465774302158

20191306708737

Management:912.2

Web of Science

1.Peking Univ, SECE, Shenzhen Key Lab Informat Centr Networking & Bloc, Shenzhen 518055, Peoples R China
2.Shenzhen Univ, Guangdong Prov Key Lab Popular High Performance C, Shenzhen 518067, Peoples R China
3.Southern Univ Sci & Technol, SUSTech Inst Future Networks, Shenzhen 518055, Peoples R China
4.Pengcheng Lab, Shenzhen 518055, Peoples R China

Lei, Kai,Li, Keke,Xing, Jie,et al. Distributed Information-agnostic Flow Scheduling in Data Centers based on Wait-Time[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2018:1-7.