Distributed Systems - Principles And Challenges

This section explores the fundamental concepts and challenges associated with distributed systems, along with their architectures and operational mechanisms.

Distributed System Structures - Architectures And Network Foundations

This section covers the fundamental architectures and network foundations of distributed systems, including the client-server model, peer-to-peer model, cloud computing model, and the characteristics and challenges of the underlying network structure.

Client-Server Model

The client-server model is a fundamental distributed system architecture where clients request services from servers that provide those services.

Peer-To-Peer (P2p) Model

The Peer-to-Peer (P2P) model is a decentralized network structure where all nodes function as both clients and servers, facilitating direct resource sharing among peers.

Cloud Computing Model

The Cloud Computing Model shifts computing resources to remote, shared pools accessible via the network, emphasizing on-demand services and scalability.

Network Structure: The Interconnect For Distributed Systems

This section explores the critical role of network structure in distributed systems, emphasizing how communication mediums, protocols, and paradigms influence their performance and reliability.

Distributed Coordination - Achieving Consensus In A Dispersed World

This section addresses the challenges of coordination and maintaining consistency in distributed systems lacking a shared clock or common memory.

Event Ordering (Logical Clocks)

This section discusses the challenges of event ordering in distributed systems and introduces logical clocks, including Lamport logical clocks and vector clocks, to manage causal relationships among events.

Mutual Exclusion In Distributed Systems

This section discusses the necessity and challenges of achieving mutual exclusion in distributed systems, emphasizing various approaches like centralized and distributed methods.

Deadlock Handling In Distributed Systems

Deadlock in distributed systems occurs when processes are stuck waiting on each other for resources, and managing this is complex due to the absence of a global state.

Distributed File Systems - Centralizing Dispersed Data

This section discusses Distributed File Systems (DFS), which allow remote access to files and directories in a transparent manner, mimicking local file system access.

Naming And Transparency

This section discusses the concepts of naming and transparency in distributed file systems (DFS), focusing on how files are accessed and identified in a DFS.

Remote File Access

Remote File Access outlines the client-server model in Distributed File Systems, detailing communication protocols, caching strategies, server states, and ensuring file access efficiency.

Introduction To Cloud Computing And Virtualization - Modern Distributed Infrastructure

This section introduces cloud computing as a paradigm that delivers computing services over the internet and emphasizes how virtualization and containerization enable its functionality.

Cloud Service Models: Iaas, Paas, Saas

This section outlines the three primary cloud service models: IaaS, PaaS, and SaaS, detailing their distinct characteristics, user control, management responsibilities, advantages, and disadvantages.

Hypervisors (Virtual Machine Monitors - Vmms)

Hypervisors are software components that enable the creation and management of virtual machines, allowing multiple operating systems to share a single physical hardware host.

Containerization (Brief Overview: Docker, Kubernetes)

This section provides an overview of containerization technologies, focusing on Docker and Kubernetes, highlighting their roles in modern distributed computing.