A Vision for Platform Autonomy

Robust Frameworks for Systems
Book Type: Intel Press Books

A Vision for Platform Autonomy

A Vision for Platform Autonomy provides the holistic overview and the solution to the platform autonomics related to power, thermal, RAS, locality, and resource monitoring. In addition to providing the theoretical basis of autonomics features, this book introduces the current state of the art in Intel® platforms. It covers the software-based models and industry standards relevant to each autonomics feature. The emerging concept of low-speed wireless interconnects to achieve better platform autonomics is introduced as well. With platform autonomics, the system is able to maintain a stable equilibrium while hiding the complexity of the autonomics system from the users, much like its biological inspiration—the autonomic nervous system—does in our bodies.
 

"Driven by nearly a billion people online and a trillion connected objects, the scale of computing technology has exploded over the last decade, mandating the need for autonomic capabilities in IT systems and systems components. A Vision for Platform Autonomy: Robust Frameworks for Systems reveals the concepts, architectures, and core methodologies enabling the underlying elements essential to achieve autonomic computing."

Alan G. Ganek, Chief Technology Officer & Vice President, Strategy and Technology, IBM Software Group

"The frameworks discussed by the authors of A Vision for Platform Autonomy have a lot to offer in terms of methodologies that can be adopted for building innovative solutions related to power/thermal and availability aspects. It provides researchers a cost-effective alternative to building higher performance designs that are critical for advancing future-generation platform architectures. Computer engineers and designers will find this book very valuable."  

Dr. Vasant Kumar Jain, Master Black Belt (Quality), GE India Technology Center, Bangalore, India

"I would highly recommend A Vision for Platform Autonomy for data center managers, enterprise management professionals, and platform architects. The authors have made significant contributions to the field of autonomics by providing an implementation framework and real life examples of how various feature and capabilities of modern compute platforms can contribute to a robust solution for autonomics."

Professor Mariette Awad, Assistant Professor, Electrical and Computer Engineering Department, American University of Beirut

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About the Author(s)

Mohan J. Kumar

Mohan J. Kumar received his Master's degree from University of Texas at Austin. He is a Senior Principal Engineer at Intel where he works on Advancing Server Platform Architecture. Mohan has worked on Server Reliability, Availability and Serviceability (RAS) area for over a decade and has been involved in a wide range of industry activities including IrDA, ACPI, PCISIG, DMTF. He holds 20 patents in technology related areas.

Rahul Khanna

Rahul Khanna is currently a platform architect at Intel Corporation. Over the past 15 years he has worked on server system software technologies including platform automation, power/thermal optimization techniques, reliability, optimization, and predictive methodologies. He earned both his master's degree and PhD in electrical engineering from Columbia University. He has authored technical papers in the areas of interconnect reliability, predictive modeling, motion estimation, wireless, and security. He holds 13 patents.