Power Aware Computing

Course Name: 

Power Aware Computing (CS843)


M.Tech (CSE)


Elective Courses (Ele)

Credits (L-T-P): 

03 (3-0-0)


Energy- efficient, power efficient and thermal aware computing and communication Newton’s cooling model and basic thermodynamics and sustainability. Middleware Support for green computing: Power states Power states Voltage and frequency scaling ACPI support for Linux and, Voltage and frequency scaling, ACPI support for Linux and Windows, compiler optimization, virtualization and server consolidation. Tools for monitoring: Sensor networks, cooling equipment and their behavior. HPC computing: Hadoop, Map-Reduce, Dynamic thermal-aware scheduling, Resource Management in Virtualized Environment. Green Mobile, embedded computing and networking: Optimizing for minimizing battery consumption, Safe and Sustainable Cyber-physical systems (Medical devices). Management Frameworks Standards and metrics for green computing.


1. K. Kant, "Data center evolution - a state of the art issues and challenges", Elsevier Computer Networks.
2. L. Barraso and Holzl, Case for Energy Proportional Computing, IEEE Computer Dec 2007.


Computer Science and Engineering

Contact us

Dr. Manu Basavaraju
Head of the Department
Department of CSE, NITK, Surathkal
P. O. Srinivasnagar, Mangalore - 575 025
Karnataka, India.
Hot line: +91-0824-2474053
Email: hodcse[AT]nitk[DOT]ac[DOT]in


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