What is it about?
CaT is a content-aware tracing and analysis framework. It analyzes distributed systems in a non-intrusive way, highlighting how their components interact with each other and how data flows through the system. Its design enables the capture of detailed information related to I/O network and storage events, such as the context of the request and the data processed by the event. With this information, CaT proposes an analysis of the event's content based on their similarity, allowing the detection of data flow patterns that are not visible when inspecting only the context of events.
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Why is it important?
CAT's content-aware tracing and analysis strategy allows the correlation of the context and content of events for better understanding distributed systems by, for example, pinpointing their data flows and I/O access patterns.
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This page is a summary of: CAT, December 2021, ACM (Association for Computing Machinery),
DOI: 10.1145/3464298.3493396.
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