Modern Distributed Systems: Principles and Applications
Explore distributed systems, their challenges, and practical applications in this 6-week course from DelftX.
Explore distributed systems, their challenges, and practical applications in this 6-week course from DelftX.
Dive into the world of modern distributed systems in this comprehensive course from DelftX. Over six weeks, you'll explore the fundamental principles, challenges, and practical applications of distributed computing. The course covers essential topics such as consistency, availability, elasticity, and scalability, providing insights into how cloud, edge, and big data processing systems address these challenges. You'll learn about recent developments in cloud computing, large-scale data processing, and distributed machine learning, gaining practical knowledge not typically found in traditional textbooks. Through a mix of quizzes, design exercises, and experiments, you'll develop a solid understanding of distributed system architectures and techniques. The course culminates in a final project where you'll design your own distributed system, applying the knowledge gained throughout the program.
Instructors:
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What you'll learn
Understand the fundamental principles of distributed systems and their applications
Analyze the challenges and trade-offs in designing large-scale distributed systems
Explore key concepts like the CAP theorem, consistency models, and consensus algorithms
Evaluate non-functional requirements such as scalability, elasticity, and performance in distributed systems
Examine resource management and scheduling techniques for distributed environments
Study various system architectures and programming models for distributed computing
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
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There are 6 modules in this course
This course provides a comprehensive introduction to modern distributed systems, covering both theoretical principles and practical applications. Learners will explore the challenges of designing and operating large-scale distributed systems, including issues of consistency, availability, elasticity, and scalability. The curriculum covers essential topics such as the CAP theorem, functional and non-functional requirements, resource management and scheduling, system architectures, and programming models. Students will also examine real-world applications in cloud computing, big data processing, and online gaming. Through a mix of lectures, quizzes, design exercises, and a final project, participants will gain hands-on experience in analyzing and designing distributed system architectures.
Introduction to Distributed Systems
Module 1
Functional Requirements
Module 2
Non-Functional Requirements
Module 3
Resource Management and Scheduling
Module 4
System Architectures and Programming Models
Module 5
Distributed Ecosystems
Module 6
Fee Structure
Instructors
1 Course
Distinguished Leader in Distributed Systems and Computer Science Education
Alexandru Iosup serves as a full professor at Vrije Universiteit Amsterdam, where he holds the tenured chair of the Massivizing Computer Systems research group while maintaining a visiting researcher position at TU Delft. His research in distributed systems and ecosystems has earned him numerous prestigious recognitions, including membership in the Royal Dutch Young Academy of Arts and Sciences, the Netherlands ICT Researcher of the Year award, and knighthood for cultural and scientific merits. His research expertise spans distributed systems, resource management, middleware, cloud computing, and applications in scientific computing and big data processing. As chair of the SPEC-RG Cloud Group, he leads significant developments in cloud computing research. His excellence in education has been recognized with the Netherlands Higher-Education Teacher of the Year award, reflecting his commitment to innovative teaching approaches. His work continues to shape the field of distributed systems through research in performance optimization, energy awareness, and computing continuum applications
1 Course
Pioneering Expert in Distributed Systems and Software Engineering
Jan S. Rellermeyer serves as a full professor in the Faculty for Electrical Engineering and Computer Science at Leibniz University Hannover, where he heads the Dependable and Scalable Software Systems section. His academic journey includes an MSc and Ph.D. from ETH Zurich, followed by significant roles at IBM Research in Austin, TX, where he worked as a researcher while simultaneously serving as an adjunct assistant professor at The University of Texas at Austin, teaching operating systems and programming languages. His research focuses on optimizing big data analysis on modern computers and data center infrastructure, with particular expertise in distributed systems, resource management, middleware, and cloud computing. As project lead for the Eclipse Concierge project, he has advanced the development of small-footprint implementations of the OSGi Core Specification for mobile and embedded devices. His work spans various applications including scientific computing, big data processing, distributed machine learning, and business-critical applications, contributing significantly to the field of dependable and scalable software systems.
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Frequently asked questions
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