Parallel & Distributed Computing 3 - Distributed Computing скачать в хорошем качестве

Parallel & Distributed Computing 3 - Distributed Computing

📘 Video Overview This video introduces the fundamental concepts of distributed computing, defining it as a collection of independent computers interconnected via a network to collaborate on tasks, as opposed to traditional centralized uniprocessor computing. We explore various scales of these systems, from a Network of Workstations (NOW) and corporate intranets to massive implementations like eBay and the Internet itself. The lesson details the evolution of computing paradigms, highlighting the shift from monolithic mainframe applications to integrated distributed architectures that allow for resource sharing and service reuse. Finally, we analyze the motivations behind this shift—such as economics and reliability—while addressing the inherent challenges of security and potential points of failure 🧠 Topics Covered • Core Definitions: Distinguishing between centralized computing (single processor) and distributed systems (collaborating independent computers). • System Examples: Visualizing distributed environments, including home networks, intranets protected by firewalls, and large-scale e-commerce platforms like eBay. • The Internet Boom: Reviewing historical metrics that drove distributed computing, such as the exponential growth of host computers, the dominance of data traffic over voice, and the rise of the "Network as the Computer". • Architectural Shifts: Comparing the limitations of monolithic mainframe applications (silos, no sharing) with distributed application architectures (integrated, shared resources). • Evolving Paradigms: A look at Client-server models, CORBA, Mobile agents, and cooperative projects like SETI@home and Grid Computing that utilize surplus CPU cycles. • Pros & Cons: Weighing the benefits of scalability and fault tolerance against the weaknesses of complex security needs and multiple points of failure 🎓 About CS Course Companion For every computer science course I took, I went to YouTube looking for clear, high-quality explanations—and almost never found what I needed. So I started creating my own visual study videos to better understand the material. CS Course Companion is a collection of concise, example-driven CS tutorials designed to help students learn faster and with less frustration. 👍 If this helped If you found this video useful: Like the video (it really helps the channel) Subscribe for more CS course walkthroughs Leave a comment if you want a topic explained next This video was created using NotebookLM.