Distributed execution of real-time data analytics such as event stream processing is the key to scalability, performance and reliable detection of situation changes. Although real-time analytics is highly I/O centric, existing methods supporting the efficient execution of data analytics functions mostly rely on traditional compute models that are available in data centers, e.g., CPU or GPU based processing models, but treat the network mainly as a blackbox.However, with recent advance in software-defined networking (SDN) and the standardization of packet processing pipeline, data analytics functions can be offloaded to programmable switches and benefit from hardware acceleration in an easier and more flexible way than a decade ago.In this p...
One of the most challenging tasks for network operators is implementing accurate per-packet monitori...
FeedZai is a software company specialized in creating high-­‐throughput low-­‐latency data...
Realizing operational analytics solutions where large and complex data must be analyzed in a time-c...
Distributed execution of real-time data analytics such as event stream processing is the key to scal...
Fundamental data analytics tasks are often simple -- many useful and actionable insights can be garn...
Data on the internet is increasing at an exponential rate. The arms race to build and capitalize on ...
Programmable data plane hardware creates new opportunities for infusing intelligence into the networ...
In the last decade, real-time data processing has attracted much attention from both academic commun...
Combining edge processing (at data capture site) with analysis carried out while data is enroute fro...
Event-driven approaches and Complex Event Processing (CEP) have the potential to aid in tackling the...
Big data analytics platforms have played a critical role in the unprecedented success of data-driven...
Network Intrusion Detection Systems (NIDS) are an integral part of modern data centres to ensure hig...
We make a case for studying the impact of intra-node par-allelism on the performance of data analyti...
One of the most challenging tasks for network operators is implementing accurate per-packet monitori...
FeedZai is a software company specialized in creating high-­‐throughput low-­‐latency data...
Realizing operational analytics solutions where large and complex data must be analyzed in a time-c...
Distributed execution of real-time data analytics such as event stream processing is the key to scal...
Fundamental data analytics tasks are often simple -- many useful and actionable insights can be garn...
Data on the internet is increasing at an exponential rate. The arms race to build and capitalize on ...
Programmable data plane hardware creates new opportunities for infusing intelligence into the networ...
In the last decade, real-time data processing has attracted much attention from both academic commun...
Combining edge processing (at data capture site) with analysis carried out while data is enroute fro...
Event-driven approaches and Complex Event Processing (CEP) have the potential to aid in tackling the...
Big data analytics platforms have played a critical role in the unprecedented success of data-driven...
Network Intrusion Detection Systems (NIDS) are an integral part of modern data centres to ensure hig...
We make a case for studying the impact of intra-node par-allelism on the performance of data analyti...
One of the most challenging tasks for network operators is implementing accurate per-packet monitori...
FeedZai is a software company specialized in creating high-­‐throughput low-­‐latency data...
Realizing operational analytics solutions where large and complex data must be analyzed in a time-c...