MSWIM '01 Proceedings of the 4th ACM international workshop on Modeling, analysis and simulation of wireless and mobile systems
Performance Evaluation
On estimating end-to-end network path properties
ACM SIGCOMM Computer Communication Review - Workshop on data communication in Latin America and the Caribbean
Congestion Control in InfiniBand Networks
HOTI '05 Proceedings of the 13th Symposium on High Performance Interconnects
Cross-layer flow and congestion control for datacenter networks
Proceedings of the 3rd Workshop on Data Center - Converged and Virtual Ethernet Switching
Channel reservation protocol for over-subscribed channels and destinations
SC '13 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
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As the Internet owes its scalability and stability to TCP, congestion control also plays a key role in the performance, efficiency, and stability of datacenters, as evidenced by the efforts to standardize congestion management (CM) for 10+ Gbps networks. The next step up from datacenters is CM for clouds. New solutions are necessary for clouds because, while the recent CM schemes have been tested on L2 reliable networks, they are limited by design to relatively small single domain datacenters. TCP, on the other hand, while scalable and continously evolving, was not designed for µs-latency lossless networks. To address this problem we first investigate whether path delay could serve as a reliable congestion measure for clouds spanning across multiple datacenters and heterogenous networks. A qualitative open loop analysis of two datacenter networks (10 Gb/s Ethernet and 12x Infiniband) yields positive results. We close the congestion control loop by adapting the delay observer to a redesigned AIMD controller whose base algorithm we extensively analyzed in IEEE 802.1Qau. However, despite the statistical correlation between congestion severity and delay, the low signal/noise ratio (1-2dB), and the congestion notification lag threaten the closed loop stability. Hence we design a combination of two original filters, called Dual-Edge KDS-CUSUM. After preliminary loop tuning in Matlab, simulation results in OMNeT++ bear out the trade-off between stability and dynamic response. The concept is validated on a cluster software implementation.