Deadline and Incast Aware TCP for cloud data center networks
Nowadays, cloud data centers have become a key resource to provide a plethora of rich online services such as social networking and cloud computing. The cloud data center applications typically follow the Partition/Aggregate traffic pattern based on a tree-like logical topology, where the aggregator node may gather response data from thousands of worker nodes. One of the key challenges for such applications, however, is to meet the soft real-time constraints. In this paper, we introduce the design and implementation of DIATCP, a new transport protocol that is both deadline-aware and incast-avoidable for cloud data center applications. Prior work achieve deadline awareness by host-based or network-based approaches, but they are either imperfect in meeting their deadlines or have weakness in practical deployment. In contrast, DIATCP is deployed only at the aggregator, which directly controls the peers sending rate to avoid incast congestion and, more importantly, to meet the application deadline. This is under the key observation that the aggregator knows the bottleneck link status as well as its workers information under the Partition/Aggregate traffic pattern. Through detailed ns-3 simulations and real testbed experiments, we show that DIATCP significantly outperforms the previous protocols in the cloud data center environment.
cloud data center networks deadline awareness incast congestion partition/aggregate pattern