Co-sponsored by: Rice University, ECE Dept. – Prof. J. Cavallaro

System modeling and simulation allow the designers of complex distributed systems to evaluate and predict the response time, throughput, and system availability so they can make informed design decisions before the actual implementation. In addition, simulation facilitates system evaluations for many different workloads, computational and network capacities and various failure scenarios at very large scale, without the high cost of infrastructure.

The main challenge in developing system simulators is determining the granularity and fidelity level of the simulation. Furthermore, choosing the right type of simulation and development tools and determining the inputs to the simulator are of great importance. For example, the inputs can come from probability distributions estimated based on measured real-world data or from the output of another independent simulation.

In this talk, I will discuss strategies for designing and developing a simulator for a multi-tier distributed system. I will illustrate this by sharing our experience at Oracle in developing a distributed storage system simulator using SimPy, an open-source Python library for discrete-event simulation.

Speaker(s): Aida Vosoughi,

Agenda:

Talk at 4pm in Duncan Hall room 1064

Location:
Room: 1064
Bldg: Duncan Hall
Rice University, 6100 Main
Electrical and Computer Engineering
HOUSTON, Texas
77005