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A Sense of Place: Toward a Location-aware Information Plane for Data Centers

Moore, Justin; Chase, Jeff; Farkas, Keith; Ranganathan, Partha


Keyword(s): data center instrumentation

Abstract: The continuing drive to improve operating efficiency of information technology is motivating the development of knowledge planes or frameworks for coordinated monitoring and control of large data computing infrastructures. In this paper, we propose the notion of a location and environment-aware extended knowledge plane. As an illustration of such an extended knowledge plane, we architect the Splice framework, that extends the knowledge plane to include data from environmental sensors and the notions of physical location and spatial and topological relationships with respect to facilities-level support systems. Our proposed architecture is designed to support easy extensibility, scalability, and support the notion of higher-level object views and events in the data center. Using the above architecture, we demonstrate the richness of queries facilitated by Splice and discuss their potential for automating several categories of data center maintenance and control. We also discuss our experience with deploying Splice on real-world data centers and discuss the value from Splice in the context on one specific optimization that would have otherwise not been possible without the extended knowledge plane. Finally, we also provide evidence of the scalability of this deployment with number of readings, both in terms of database storage and query performance. Notes:

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