Coursera - System Issues in Cloud Computing Specialization by Georgia Institute of Technology
Video: .mp4 (1280x720) | Audio: AAC, 44100 kHz, 2ch | Size: 2.27 Gb | Materials: PDF
Genre: eLearning Video | Duration: 16h 48m | Language: English
Video: .mp4 (1280x720) | Audio: AAC, 44100 kHz, 2ch | Size: 2.27 Gb | Materials: PDF
Genre: eLearning Video | Duration: 16h 48m | Language: English
Acquire Deep Knowledge in Cloud Technologies. Through in-depth presentations and hands-on projects for each layer of the full stack of Cloud technologies, learners acquire the necessary skill-set to work in engineering teams of Cloud providers.
Software Defined Networking
This course provides an introduction to data center networking technologies, more specifically software-defined networking. It covers the history behind SDN, description of networks in data-centers, a concrete data-center network architecture (Microsoft VL2), and traffic engineering.
Cloud Systems Software
This course provides an introduction to programming frameworks and their implementation issues in the Cloud. It explains multiple topics, including: scalable distributed data stores, resource management (for supporting multi-tenancy and elasticity) and virtualization techniques. Optionally, the student will also be guided in the implementation of a basic version of the distributed runtime system for the Map-Reduce programming framework
Cloud Applications
This course provides an introduction to the development and support for Cloud-native applications, more specifically it delves into best practices of developing applications; migrating on premise applications to the cloud; the basic building blocks and properties expected from Cloud applications. The course also provide highlights of some novel cloud applications, including geo-distributed computations.
Network Function Virtualization
This course covers Network Function Virtualization from the perspective of a systems engineer.
It first discusses the proliferation of middleboxes in enterprise networks and the necessity of virtualizing these components just like software applications. It then details several optimizations in operating systems to facilitate efficient networking on virtualized hardware followed by design decisions in user-plane libraries for bypassing the kernel for efficient packet processing. It then covers the challenges and solutions for building scalable systems for providing networking services in datacenters, specifically the synergy between SDN and NFV to achieve this. The course concludes with a discussion of real-world applications of NFV technology in the cloud computing ecosystem.