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Demystifying Deep Learning in Networking
We are witnessing a surge of efforts in networking community to develop deep neural networks (DNNs) based approaches to networking problems. Most results so far have been remarkably promising, which is arguably surprising given how intensively these ...
Toward Effective and Fair RDMA Resource Sharing
Remote Direct Memory Access (RDMA) technique allows the messaging service that directly access the memory on remote machines, which provides low CPU overhead, low latency, and high throughput network transmission. On the other hand, however, due to the ...
Dante: Enabling FOV-Aware Adaptive FEC Coding for 360-Degree Video Streaming
As 360-degree videos grow dramatically in popularity, more applications demand the ability to stream 360-degree videos to wirelessly connected devices, such as smartphone headsets. However, the limited capacity and the unstable network conditions make ...
Augmenting Proactive Congestion Control with Aeolus
Recently, proactive congestion control solutions have drawn great attention in the community. By explicitly scheduling data transmissions based on the availability of network bandwidth, proactive solutions offer a lossless, near-zero queueing network ...
Pas de deux: Shape the Circuits, and Shape the Apps too!
Despite continued efforts toward building high bandwidth, low cost datacenter networks with reconfigurable optical fabrics, the impact of optical networks on datacenter applications has received little attention. Given the constraints of optical ...
Using the Macroflow Abstraction to Minimize Machine Slot-time Spent on Networking in Hadoop
- Bingchuan Tian,
- Chen Tian,
- Jiajun Sun,
- Junhua Yan,
- Yizhou Tang,
- Wei Wang,
- Haipeng Dai,
- Nai Xia,
- Guihai Chen,
- Wanchun Dou
Machine slot-time spent on data transmission has direct impact on average job completion time (JCT). In this paper, we propose Macroflow, a networking abstraction that can capture the primitive scheduling granularity of machine slot-time. We demonstrate ...
Preserving Privacy at IXPs
Autonomous systems (ASes) on the Internet increasingly rely on Internet Exchange Points (IXPs) for peering. A single IXP may interconnect several 100s or 1000s of participants (ASes) all of which might peer with each other through BGP sessions. IXPs ...
Prelude: Ensuring Inter-Domain Loop-Freedom in SDN-Enabled Networks
Software-Defined eXchanges (SDXes) promise to improve the interdomain routing ecosystem through SDN deployment. Yet, the naïve deployment of SDN on the Internet raises concerns about the correctness of the interdomain data-plane. By allowing operators ...
GEN: A GPU-Accelerated Elastic Framework for NFV
Network Function Virtualization (NFV) has the potential to enhance service delivery flexibility and reduce overall costs by provisioning software-based service function chains (SFCs) on commodity hardware. However, we observe that existing CPU-based SFC ...
Towards Example-Guided Network Synthesis
In recent years, there has been a proliferation in network domain-specific languages (DSL). These languages enable us to exploit the programmability of these networks, while still providing correctness guarantees through verification and analysis of ...
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Acceptance Rates
Year | Submitted | Accepted | Rate |
---|---|---|---|
APNet '24 | 118 | 50 | 42% |
Overall | 118 | 50 | 42% |