47-775 Advanced Stochastic Analysis and Applications II
6 units, Carnegie Mellon University
In designing computer systems one is usually constrained by certain performance requirements and limitations. For example, one might need to guarantee a response time SLA or certain throughput requirement, while at the same time staying within a power budget or cost budget. On the other hand, one often has many choices: One fast disk, or two slow ones? More memory, or a faster processor? A fair scheduler or one that minimizes mean response time? For multi-server systems, one can choose from a wide array of load balancing policies, a wide array of migration policies, capacity provisioning schemes, power management policies ... The possibilities are endless. The best choices are often counter-intuitive. Ideally, one would like to have answers to these questions before investing the time and money to build a system. This class will introduce students to analytic stochastic modeling with the aim of answering the above questions. This class is heavy on math. Students should have a strong background in probability before embarking on this class. If you are worried about your probability background, please work through all the examples and exercises in Chpt 3 of the class textbook. You can also see the instructor for more probability materials.
Prerequisites: none listed
Offered: Fall 2025
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