Trend Micro Inc.

Edward A Wartha

Leslie Zsohar

Wei Lu

Craig Botkin

Randal Mullin

James Michael Rolette, Jr

Stephen G Low

Matthew Laswell

Examples relate to extracting data from network communications. In one example, a programmable hardware processor may: receive a first set of network packets; store each network packet included in the first set in a first storage device; identify, from each network packet included in a subset of the first set of network packets, data included in the network packet, the data meeting at least one condition defined by first programmable logic of the programmable hardware processor; and for each network packet included in the subset: extract, from the network packet, data of interest; and store, in a second storage device, i) the extracted data of interest, and ii) an identifier associated with the network packet.

Extracting data from network communications

Examples relate to organizing and storing network communications. In one example, a programmable hardware processor may: receive a first set of network packets; identify, for each network packet included in the first set, a network flow, each network flow including at least one related packet; store each network packet included in a subset of the first set in a first data storage device; for each network packet included in the subset, organize the network packet according to the network flow identified for the network packet; identify, from the network flows, a set of network flows that each have at least one characteristic of interest; and store, in a second data storage device, each network packet included in each network flow of the set of network flows.

Organizing and storing network communications

According to an example, configurable workload optimization may include selecting a performance optimized application workload from available performance optimized application workloads. A predetermined combination of removable workload optimized modules may be selected to implement the selected performance optimized application workload. Different combinations of the removable workload optimized modules may be usable to implement different ones of the available performance optimized application workloads. The predetermined combination of the removable workload optimized modules may be managed to implement the selected performance optimized application workload. Data flows directed to the predetermined combination of the removable workload optimized modules may be received. The data flows may be analyzed based on attributes of the data flows, and redirected for processing by one of the removable workload optimized modules of the predetermined combination of the removable workload optimized modules based on the analysis.

Combinations of removable workload optimized modules for implementing different application workloads

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Austin, TX, United States of America

Edward A Wartha