Bøger af Pedro Mejia Alvarez

This book presents the fundamentals of exception handling with examples written in C++ and Python. Starting with its history and evolution, it explores the many facets of exception handling, such as its syntax, semantics, challenges, best practices, and implementation patterns.The book is composed of five chapters: Chapter 1 provides an introduction, covering the history, various definitions, and challenges of exception handling. Chapter 2 then delves into the basics, offering insights into the foundational concepts and techniques. Subsequently, chapter 3 touches upon the best practices for exception handling, including the differences between errors and exceptions, the use of assertions, and how to provide meaningful error messages. Chapter 4 takes a deep dive into advanced exception-handling techniques, exploring e.g. patterns, guard clauses, and hierarchical exception handling. Eventually, chapter 5 focuses on the complexities of exception handling in real-time and embedded systems.This book is mainly written for both students and professionals. Its readers will understand the nuances between syntax and semantic errors, learn how to employ try-catch blocks effectively, grasp the importance of logging exceptions, and delve into advanced exception-handling techniques. This way, they will be enabled to handle exceptions effectively and thus write more robust, reliable, and resilient code.

This book provides an overview of both experimental and commercial real-time database systems (RTDBs) and a systematic approach to understanding, designing, and implementing them.To this end, the book is composed of four chapters: Chapter 1 ¿An Overview of Real-Time Database Systems¿ delves into the realm of RTDBs and discusses the specific requirements, transaction models, and scheduling algorithms that set RTDBs apart from conventional DBMs. Chapter 2 on ¿Experimental Real-Time Databases¿ presents various experimental RTDBs developed in academia with their architectures, features, and implementations, while chapter 3 on ¿Commercial Real-Time Databases¿ does so for systems developed and offered by commercial vendors as products or services. Eventually, chapter 4 on ¿Applications of Real-Time Database Systems¿ showcases various applications of RTDBs across different domains.This book will help researchers, graduate students and advanced professionals to get anoverview of the area and to understand the main challenges and systems available.

This book provides basic knowledge about main memory management in relational databases as it is needed to support large-scale applications processed completely in memory. In business operations, real-time predictability and high speed is a must. Hence every opportunity must be exploited to improve performance, including reducing dependency on the hard disk, adding more memory to make more data resident in the memory, and even deploying an in-memory system where all data can be kept in memory.The book provides one chapter for each of the main related topics, i.e. the memory system, memory management, virtual memory, and databases and their memory systems, and it is complemented by a short survey of six commercial systems: TimesTen, MySQL, VoltDB, Hekaton, HyPer/ScyPer, and SAP HANA.