via NPTEL
Analyzing the performance of any computer or networked system: such as Web application servers, packet scheduling disciplines, operating system schedulers, cellular telephony networks is an important step in the design and deployment of such systems. Performance of many systems can be measured, but a sound basis in queuing system models is required for two important aspects: 1) to ensure that the performance tests are performance field data is correct, and 2) for predicting the performance of a system in a scenario that cannot be measured. The theory of queues is a mathematical theory that helps model a wide range of computing and networking systems with a common abstraction of a queuing system. In this course, you will learn the most basic results in queuing systems, in an intuitive way, and learn how to apply them to computer and network systems performance. The focus in this short course will be on being able to reason about asymptotic values of performance metrics at high loads and low loads, which is very useful in validating results of performance tests. Practical examples of performance analysis of networked servers (e.g. a Web server), of packet network links, of cellular networks etc, will be provided. A case study of interpreting the load test results of a simple Web Server using the framework of queuing systems will be covered throughout the course.
Some points apply to every course of this kind; see how we rank.
At least 3rd year UG in CSE Pre-requisite Courses : Operating Systems and Computer Networks.INTENDED AUDIENCE: 4th year undergraduates or post-graduates in Computer Science and Engineering, IT industry professionals engaged in computer applications performance testing and evaluation.
Indian Institute of Technology Bombay is in Tier 1: world-leading universities and India's top institutes of our institution ranking (96/100).
Instructor: Prof. Gary Gensler View the complete course: https://ocw.mit.edu/15-S12F18 This course is for students wishing to explore blockchain technology’s potential use - by entrepreneurs & incumbents - to change the world of money and finance. License: Creative Commons BY-NC-SA More information…
This course provides an introduction to mathematical modeling of computational problems. It covers the common algorithms, algorithmic paradigms, and data structures used to solve these problems. The course emphasizes the relationship between algorithms and programming, and introduces basic performa…
This is CS50P, CS50's Introduction to Programming with Python. Register for free at https://cs50.edx.org/python. Slides and source code at https://cs50.harvard.edu/python. Playlist at https://www.youtube.com/playlist?list=PLhQjrBD2T3817j24-GogXmWqO5Q5vYy0V. An introduction to programming using a la…
This is CS50, Harvard University's introduction to the intellectual enterprises of computer science and the art of programming, for concentrators and non-concentrators alike, with or without prior programming experience. (Two thirds of CS50 students have never taken CS before.) This course teaches…
Instructor: Ana Bell View the complete course: https://ocw.mit.edu/courses/6-100l-introduction-to-cs-and-programming-using-python-fall-2022/ *Note: Lectures 6, 10 have been updated! This subject is aimed at students with little to no programming experience. It aims to provide students with an under…
Get more information about the courses and programs we offer. In this playlist you can learn more about course content, pricing, credentials and more!
