Open Access. Powered by Scholars. Published by Universities.®

Physical Sciences and Mathematics Commons

Open Access. Powered by Scholars. Published by Universities.®

Missouri University of Science and Technology

Computer Sciences

2017

Data Center Networks

Articles 1 - 2 of 2

Full-Text Articles in Physical Sciences and Mathematics

Minimal Coflow Routing And Scheduling In Openflow-Based Cloud Storage Area Networks, Chui Hui Chiu, Dipak Kumar Singh, Qingyang Wang, Kisung Lee, Seung Jong Park Sep 2017

Minimal Coflow Routing And Scheduling In Openflow-Based Cloud Storage Area Networks, Chui Hui Chiu, Dipak Kumar Singh, Qingyang Wang, Kisung Lee, Seung Jong Park

Computer Science Faculty Research & Creative Works

Researches affirm that coflow scheduling/routing substantially shortens the average application inner communication time in data center networks (DCNs). The commonly desirable critical features of existing coflow scheduling/routing framework includes (1) coflow scheduling, (2) coflow routing, and (3) per-flow rate-limiting. However, to provide the 3 features, existing frameworks require customized computing frameworks, customized operating systems, or specific external commercial monitoring frameworks on software-defined networking (SDN) switches. These requirements defer or even prohibit the deployment of coflow scheduling/routing in production DCNs. In this paper, we design a coflow scheduling and routing framework, MinCOF which has minimal requirements on hosts and switches for …


Coflourish: An Sdn-Assisted Coflow Scheduling Framework For Clouds, Chui Hui Chiu, Dipak Kumar Singh, Qingyang Wang, Seung Jong Park Sep 2017

Coflourish: An Sdn-Assisted Coflow Scheduling Framework For Clouds, Chui Hui Chiu, Dipak Kumar Singh, Qingyang Wang, Seung Jong Park

Computer Science Faculty Research & Creative Works

Existing coflow scheduling frameworks effectively shorten communication time and completion time of cluster applications. However, existing frameworks only consider available bandwidth on hosts and overlook congestion in the network when making scheduling decisions. Through extensive simulations using the realistic workload probability distribution from Facebook, we observe the performance degradation of the state-of-the-art coflow scheduling framework, Varys, in the cloud environment on a shared data center network (DCN) because of the lack of network congestion information. We propose Coflourish, the first coflow scheduling framework that exploits the congestion feedback assistances from the software-defined-networking (SDN)-enabled switches in the networks for available bandwidth …