Programmable data planes allow users to define their own data plane algorithms for network
devices including appropriate data plane application programming interfaces (APIs) which …

In this paper we present a new approach for distributed DBMSs called P4DB, that uses a
programmable switch to accelerate OLTP workloads. The main idea of P4DB is that it …

Programmable networks are enabling a new class of applications that leverage the line-rate
processing capability and on-chip register memory of the switch data plane. Yet the status …

As data processing evolves towards large scale, distributed platforms, the network will
necessarily play a substantial role in achieving efficiency and performance. Increasingly …

Thoughts on load distribution and the role of programmable switches Page 1 Thoughts on
Load Distribution and the Role of Programmable Switches James McCauley UC Berkeley and …

Aggregating multiple small packets into a large packet provides many advantages. For
example, multiple small packets can share a single copy of common Ethernet/IP/UDP …

The surging scale of distributed training (DT) incurs significant communication overhead in
datacenters, while a promising solution is in-network aggregation (INA). It leverages …

The surging scale of distributed training (DT) incurs significant communication overhead in
datacenters, while a promising solution is in-network aggregation (INA). It leverages …

Geo-distributed machine learning (Geo-DML) adopts a hierarchical training architecture that
includes local model synchronization within the data center and global model …

As one of the most critical cloud services, Bare-Metal Servers (BMS) introduce stringent
performance requirements on data center networks (DCN). Stateful packet filter is an integral …