COMM

Communication is pivotal in distributed training and a thorough understanding of its characteristics is essential for future optimizations. However, prior works are limited, either focusing on customized optimizations or conducting incomplete ...

In modern data center networks, RDMA is widely applied in scenarios such as high-performance computing, distributed storage and machine learning. In recent studies, it has been observed that flowlet switching load balancers cannot fully unleash their ...

Recent years have witnessed a wide adoption of Remote Direct Memory Access (RDMA) to accelerate distributed systems. As the scale of distributed applications keeps increasing, network failures become more prominent. Although some link/switch failures ...

DNS misconfiguration can result in severe social and financial consequences. Existing DNS configuration verification tools employ a centralized architecture, where all zone files are collected for verification. This architecture faces significant ...

RDMA has been widely deployed in production datacenters. The conventional wisdom believes that the intra-host network delivers stable and high performance. However, intra-host resources witness a relative stagnation in technology trends compared to the ...

The vision of sustainable IoT constructed from battery-free devices has attracted ample interest in the research community. Yet, efficient device discovery and synchronization—a fundamental problem in IoT systems—remains a critical challenge mainly due ...

Programmable switches have been recently proposed as dataplane solutions for public clouds. However, the conflict of limited on-chip memory and massive forwarding rules in cloud networks hinders the large-scale deployments. We argue that building ...

Container live migration is critical to ensure services are not interrupted during host maintenance in data centers. On the other hand, RDMA containerization has attracted both academia and industry for years. However, live migration for containerized ...

As cloud networks continue to evolve, network traffic has experienced an exponential increase. The network architecture is progressively adopting a distributed structure to address this challenge. This architecture extensively utilizes technologies like ...

RDMA, as a cutting-edge networking technology, has gained extensive adoption in large-scale data centers due to its exceptional characteristics, such as low and stable latency, high throughput and low CPU utilization. However, due to the limited on-chip ...

The proliferation of programmable network devices offers a wide range of device options for developers of packet processing programs. However, there are several differences in programming language usage, hardware resource constraints, and hardware ...

   The data plane verification of networks in hyperscale environments is challenging due to the complexity and size of modern networks. In this paper, we introduce Medusa, a novel verifier that efficiently analyzes large data plane models using parallel ...

WiFi networks, widely utilized by wireless devices, have become increasingly complex and congested environments, leading to noticeable delays, jitter, and throughput degradation for end-to-end network flows in today’s Internet. Through detailed ...

The virtual switch (vSwitch) serves as a fundamental element in cloud network, critical for high-performance and strongly isolated inter-VM forwarding in local and external networks. Similar to other multicore systems, a vSwitch with multiple cores also ...

Virtualization-based cloud computing has gained popularity owing to its system-isolation security and near-native performance. However, a critical challenge for cloud computing arises from the presence of numerous redundant memory pages across ...

The constantly evolving Distributed Denial of Service (DDoS) attacks pose a significant threat to the cyber realm, which underscores the importance of DDoS mitigation as a pivotal area of research. While existing AI-driven approaches, including deep ...

The advent of in-band network telemetry (INT) facilitates the dynamic and fine-grained monitoring of network conditions. Nevertheless, the current INT specification incurs a substantial measurement overhead, diminishing bandwidth utilization, and ...

RoCE services are sensitive to failures and bottlenecks, which become more common as the RoCE network scales. To effectively detect and locate these problems independent of service traffic, RoCE networks require a monitoring and diagnostic system based ...

The widespread adoption of Machine Learning (ML) is leading to an increase in processing demands. Dealing with the growing volume of data poses a significant challenge in providing accurate classification services using ML models. Offloading ML tasks to ...

IP lookup aims at identifying the longest prefix match within routing tables to determine the forwarding path for packets. The increase in IPv6 address length makes IP lookup particularly difficult, requiring more efficient lookup mechanisms to handle ...

Network-wide heavy hitter detection is usually performed by sampling on several network measurement points (NMPs) and merging the measurement results in the centralized controller to get a network-wide view. However, a packet may pass several NMPs and ...

Low-earth-orbit (LEO) satellite constellations (e.g., Starlink) are becoming the necessary component of future Internet. There have been increasing studies on LEO satellite networking. It is a crucial problem how to evaluate these studies in a ...

Text-based specifications are the de-facto standard for specifying complex multi-tier systems. For example, 3GPP specifications define various interfaces, messages, and message processing at the multiple inter-connected nodes of a 5G system. These ...

As Distributed Deep Learning (DDL) gains prominence, network constraints have emerged as a critical bottleneck impacting DDL performance. While state-of-the-art loss-tolerant (LT) transmission protocols enhance DDL efficiency, their application in ...