For public networks like the Internet and those of many clouds, end-host applications can
use any congestion control protocol they wish. This protocol diversity and application …

Distributed snapshots are a classic class of protocols used for capturing a causally
consistent view of states across machines. Although effective, existing protocols presume an …

Fine-grained monitoring is crucial for multiple data-driven tasks such as debugging,
provisioning, and securing networks. Yet, practical constraints in collecting, extracting, and …

Network measurement is critical to many network applications. There are mainly two kinds of
flow-level measurement tasks: 1) packet accumulation tasks and 2) packet loss tasks. In …

RDMA is being widely used from private data center applications to multi-tenant clouds,
which makes RDMA security gain tremendous attention. However, existing RDMA security …

In this paper, we study steady flows in data streams, which refers to those flows whose
arrival rate is always non-zero and around a fixed value for several consecutive time …

Existing load-balancing methods used in data center networks involve some shortcomings
such as excessively large decision delays during reactions to microbursts and large …

To achieve low latency and high link utilization, ECN-based transport protocols (ie, DCTCP)
are widely deployed in data center networks (DCN). In multi-tenant environment, however …

Fine-grained monitoring is crucial for multiple data-driven tasks such as debugging,
provisioning, and securing networks. Yet, practical constraints in collecting, extracting, and …

Network monitoring systems are a key building block in today's networks. They all follow a
common framework where measurement data from network elements is aggregated at a …