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Small is Better: Avoiding Latency Traps in Virtualized Data Centers
| Content Provider | CiteSeerX |
|---|---|
| Author | Xu, Yunjing Noble, Brian Bailey, Michael Jahanian, Farnam |
| Abstract | Public clouds have become a popular platform for building Internet-scale applications. Using virtualization, public cloud services grant customers full control of guest operating systems and applications, while service providers still retain the management of their host infrastructure. Because applications built with public clouds are often highly sensitive to response time, infrastructure builders strive to reduce the latency of their data center’s internal network. However, most existing solutions require modification to the software stack controlled by guests. We introduce a new host-centric solution for improving latency in virtualized cloud environments. In this approach, we extend a classic scheduling principle—Shortest Remaining Time First—from the virtualization layer, through the host network stack, to the network switches. Experimental and simulation results show that our solution can reduce median latency of small flows by 40%, with improvements in the tail of almost 90%, while reducing throughput of large flows by less than 3%. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Infrastructure Builder Median Latency Service Provider Existing Solution Response Time Host Infrastructure Internal Network Popular Platform Network Switch New Host-centric Solution Data Center Host Network Stack Virtualized Cloud Environment Avoiding Latency Trap Large Flow Small Flow Virtualized Data Center Internet-scale Application Virtualization Layer Simulation Result Public Cloud Software Stack |
| Content Type | Text |
