Cloud services have recently started undergoing a major shift from monolithic applications,
to graphs of hundreds or thousands of loosely-coupled microservices. Microservices …

Intrusion Detection and Prevention Systems (IDS/IPS) are among the most demanding
stateful network functions. Today's network operators are faced with securing 100Gbps …

Hybrid computing platforms, comprising CPU cores and FPGA logic, are increasingly used
for accelerating data-intensive workloads in cloud deployments, and are a growing topic of …

Big data applications often incur large costs in I/O, data transfer and copying overhead,
especially when operating in cloud environments. Since most such computations are …

The path a packet takes when handled by the Linux Kernel has been well established for a
long time. Its overhead/bottleneck issues are also known. Nonetheless, complexity has …

Programmable network hardware can run services traditionally deployed on servers,
resulting in orders-of-magnitude improvements in performance. Yet, despite these …

Modern networks used for integrating custom Internet of Things (IoT) systems and devices
have restrictions and requirements unique to their individual applications. These application …

In this work we present a novel unsupervised framework for hard training example mining.
The only input to the method is a collection of images relevant to the target application and a …

Given that the increasing rate of network bandwidth is far ahead of that of the compute
capacity of host CPU, which by default processes network packets, SmartNIC has been …

The ever increasing amount of data being handled in data centers causes an intrinsic
inefficiency: moving data around is expensive in terms of bandwidth, latency, and power …