Description based upon print version of record.

Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- Preface -- Acknowledgement -- Authors -- Chapter 1: Introduction -- 1.1 Introduction -- 1.2 History of Computing -- 1.2.1 Analogue Computers -- 1.2.2 Digital Computers: Modern Hardware Advances in Computer Architectures -- 1.3 A Brief Introduction to Parallel and Distributed Systems -- 1.4 Conclusion -- Notes -- Reference -- Chapter 2: IoT and Distributed Systems -- 2.1 Introduction -- 2.2 CPS and IoT -- 2.3 Internet of Things (IoT) -- 2.4 Distributed Systems and Distributed Computing via IoT

Reference -- Chapter 3: Advanced Operating System Concepts in Distributed Systems Design -- 3.1 Introduction -- 3.2 An Introduction to Modern Operating Systems -- 3.2.1 Process Management -- 3.2.2 Memory Management -- 3.2.3 Storage Management (SM) -- 3.2.4 Userspace and Kernel Space -- 3.3 Memory Hierarchy Models -- 3.3.1 Main Memory -- 3.4 A Brief Review on Modern OS Kernels -- 3.4.1 Microkernel Operating System -- 3.4.2 Monolithic Operating System -- 3.4.3 Hybrid Operating System -- 3.4.4 Exokernel Operating System -- 3.4.5 Object-Oriented Operating System (O3S)

3.4.6 Language-Based Operating System (LOS) -- 3.4.7 System Calls to Request Linux and Windows OS Services -- 3.4.8 System Calls in the Linux Operating System -- 3.4.9 Costs Due to the Mode Switch of System Calls -- 3.4.10 Costs Due to the Footprints of System Calls -- 3.4.11 Effect of System Calls on the Userspace IPC -- 3.4.12 Critical Overheads due to Frequent Copies -- 3.4.13 System Calls in the Windows Operating System -- 3.4.14 Timeline of Operating System Evolution -- Chapter 4: Parallelism for the Many-Core Era: Hardware and Software Perspectives -- 4.1 Introduction

4.2 Exploiting Instruction-Level Parallelism (ILP) by Hardware and Software Approaches -- 4.2.1 Superscalar Processors -- 4.2.2 The Downside of Instruction-Level Parallelism and Power Consumption Problem -- 4.3 Thread-Level Parallelism (TLP) and Multi-Processor and Multi-Core Parallelism -- 4.3.1 Introduction -- 4.3.2 Thread-Level Parallelism -- 4.3.3 Multi-Processor Parallelism -- 4.3.4 Multi-Core Parallelism -- 4.4 Heterogenous Computing on Many Cores -- 4.5 Latest Optimal Approaches in Synchronisation -- 4.5.1 Deadlock -- 4.5.2 Race Condition -- 4.5.3 Priority Inversion -- 4.5.4 Starvation

4.5.5 Livelock -- 4.5.6 Convoying -- 4.6 Installation Steps of the Integrated Development Environment (IDE) Code::Blocks on Unix-Like Operating Systems Such as Linux -- References -- Chapter 5: Parallelisation for the Many- Core Era: A Programming Perspective -- 5.1 Introduction -- 5.2 Building Cross-Platform Concurrent Systems Utilising Multi-Threaded Programming on Top of the Parvicursor.NET Framework for Distributed Systems -- 5.2.1 Introduction -- 5.2.2 Thread Creation and Management in the Parvicursor.NET Framework

5.2.3 Implementing the System::Threading::Timer Class of the ECMA Standard Based on the Thread Class in the Parvicursor.NET Framework

The book examines practices that underly the development of the vast majority of parallel and distributed systems particularly IoT, Grid/Cloud Computing, and supercomputers. Computer architecture, operating systems, and parallel programming techniques as well as models for many-core processors, supercomputers and networks are covered.

OCLC-licensed vendor bibliographic record.