Datacenter workloads have evolved from the data intensive, loosely-coupled workloads of
the past decade to more tightly coupled ones, wherein ultra-low latency communication is …

Deep Learning Recommender Systems (DLRSs) need to update models at low latency, thus
promptly serving new users and content. Existing DLRSs, however, fail to do so. They …

The difficulty in gaining visibility into the fine-timescale hop-level congestion state of
networks has been a key challenge faced by congestion control (CC) protocols for decades …

Hardware offloaded network stacks are widely adopted in modern datacenters to meet the
demand for high throughput, ultra-low latency and low CPU overhead. To fully leverage their …

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 …

We consider the problem of hosting financial exchanges in the cloud. Exchanges
necessitate strong fairness guarantees for competing participants, particularly for use cases …

High performance, strongly consistent applications are beginning to require scalable sub-
microsecond clock synchronization. State-of-the-art clock synchronization focuses on …

Network speeds grow quickly in the modern cloud, so SmartNICs are introduced to offload
network processing tasks, even application logic. However, typical multicore SmartNICs …

Fast database engines have become an essential building block in many systems and
applications. Yet most of them are designed based on on-premise solutions and do not …

This article discusses the phase noise (PN) characteristics of mutually delay-coupled phase-
locked loop (PLL) nodes operating at 24 GHz. It examines the effect of mutual …