Innovations in cloud and service-oriented architectures continue to attract attention by offering interesting opportunities for research in scientific communities. Although advancements such as computational power, storage, networking, and infrastructure have aided in making major progress in the implementation and realization of cloud-based systems, there are still significant concerns that need to be taken into account. Principles, Methodologies, and Service-Oriented Approaches for Cloud Computing aims to present insight into Cloud principles, examine associated methods and technologies, and investigate the use of service-oriented computing technologies. In addressing supporting infrastructure of the Cloud, including associated challenges and pressing issues, this reference source aims to present researchers, engineers, and IT professionals with various approaches in Cloud computing.

This book presents advances and innovations in grouping genetic algorithms, enriched with new and unique heuristic optimization techniques. These algorithms are specially designed for solving industrial grouping problems where system entities are to be partitioned or clustered into efficient groups according to a set of guiding decision criteria. Examples of such problems are: vehicle routing problems, team formation problems, timetabling problems, assembly line balancing, group maintenance planning, modular design, and task assignment. A wide range of industrial grouping problems, drawn from diverse fields such as logistics, supply chain management, project management, manufacturing systems, engineering design and healthcare, are presented. Typical complex industrial grouping problems, with multiple decision criteria and constraints, are clearly described using illustrative diagrams and formulations. The problems are mapped into a common group structure that can conveniently be used as an input scheme to specific variants of grouping genetic algorithms. Unique heuristic grouping techniques are developed to handle grouping problems efficiently and effectively. Illustrative examples and computational results are presented in tables and graphs to demonstrate the efficiency and effectiveness of the algorithms. Researchers, decision analysts, software developers, and graduate students from various disciplines will find this in-depth reader-friendly exposition of advances and applications of grouping genetic algorithms an interesting, informative and valuable resource.

Web technologies have become a vital element within educational, professional, and social settings as they have the potential to improve performance and productivity across organizations. Artificial Intelligence Technologies and the Evolution of Web 3.0 brings together emergent research and best practices surrounding the effective usage of Web 3.0 technologies in a variety of environments. Featuring the latest technologies and applications across industries, this publication is a vital reference source for academics, researchers, students, and professionals who are interested in new ways to use intelligent web technologies within various settings.

How do we define the nature of our business, gather everything that we know about it, and then centralize our information in one, easily accessed place within the organization? Breslin and McGann call such knowledge our ways of working and the place where it will be found a business knowledge repository. All of a company's accumulated operations data, its manuals and procedures, its records of compliance with myriad regulations, its audits, disaster recovery plans--are essential information that today's management needs at its fingertips, and information that tomorroW's management must be sure can easily be found. Breslin and McGann show clearly and comprehensively how business knowledge repositories can be established and maintained, what should go into them and how to get it out, who should have access, and all of the other details that management needs to make the most of this valuable resource and means of doing business. An essential study and guide for management at upper levels in all types of organizations, both public and private.

Breslin and McGann show that once an organization's knowledge of itself is formulated into its ways of working, its so-called object orientation makes it easily maintained. The repository approach to organizing and consolidating knowledge makes it possible for all of its potential users to access it easily, without having to go to one source for one thing they need and to another for another thing, a tedious and costly procedure in many organizations that have allowed their information and knowledge resources to not only grow but become duplicated as well. The repository approach also makes it possible for management to organize and access information by job functions, and to make it available to employees more easily in training situations. Regulators and auditors are also more easily served. As a result, CFOs will find their annual audit and various compliance fees considerably reduced. Breslin and McGann's book is thus a blueprint for the creation of knowledge repositories and a discussion of how graphical communication between information systems creators and their client end users can be made to flow smoothly and efficiently.

"The heart monitor alarm suddenly screamed as the patient's EKG pattern abruptly changed to ventricular fibrillation. "Code Blue " Dr. Singh screamed, "Get the crash cart in here, now " THUMP The convulsive thrash of his patient after each defibrillation attempt was beginning to be too much for Dr. Brady. THUMP He didn't know if he could stand the helpless feeling any longer. Attempt after attempt failed to resuscitate Mrs. Winter. He wanted to scream or run away, but continued in his efforts to save his patient. He prayed he was just going to wake up from this nightmare, hug his wife, and be thankful that this surrealistic scene didn't exist. But that simply wasn't going to happen. What began as sixty seconds of shock and terror, soon became forty minutes of futility. After trying everything they could think of to restore a normal heart rhythm to the patient's lifeless body, Dr. Singh called off the code. Jessie Winter was dead " This action-packed mystery will take you from the operating room to the courtroom as Dr. Brady searches for the truth behind his patient's unexpected death, and the resulting malpractice and manslaughter trials.

This timely text/reference presents a comprehensive review of the workflow scheduling algorithms and approaches that are rapidly becoming essential for a range of software applications, due to their ability to efficiently leverage diverse and distributed cloud resources. Particular emphasis is placed on how workflow-based automation in software-defined cloud centers and hybrid IT systems can significantly enhance resource utilization and optimize energy efficiency. Topics and features: describes dynamic workflow and task scheduling techniques that work across multiple (on-premise and off-premise) clouds; presents simulation-based case studies, and details of real-time test bed-based implementations; offers analyses and comparisons of a broad selection of static and dynamic workflow algorithms; examines the considerations for the main parameters in projects limited by budget and time constraints; covers workflow management systems, workflow modeling and simulation techniques, and machine learning approaches for predictive workflow analytics. This must-read work provides invaluable practical insights from three subject matter experts in the cloud paradigm, which will empower IT practitioners and industry professionals in their daily assignments. Researchers and students interested in next-generation software-defined cloud environments will also greatly benefit from the material in the book.

Cloud service benchmarking can provide important, sometimes surprising insights into the quality of services and leads to a more quality-driven design and engineering of complex software architectures that use such services. Starting with a broad introduction to the field, this book guides readers step-by-step through the process of designing, implementing and executing a cloud service benchmark, as well as understanding and dealing with its results. It covers all aspects of cloud service benchmarking, i.e., both benchmarking the cloud and benchmarking in the cloud, at a basic level. The book is divided into five parts: Part I discusses what cloud benchmarking is, provides an overview of cloud services and their key properties, and describes the notion of a cloud system and cloud-service quality. It also addresses the benchmarking lifecycle and the motivations behind running benchmarks in particular phases of an application lifecycle. Part II then focuses on benchmark design by discussing key objectives (e.g., repeatability, fairness, or understandability) and defining metrics and measurement methods, and by giving advice on developing own measurement methods and metrics. Next, Part III explores benchmark execution and implementation challenges and objectives as well as aspects like runtime monitoring and result collection. Subsequently, Part IV addresses benchmark results, covering topics such as an abstract process for turning data into insights, data preprocessing, and basic data analysis methods. Lastly, Part V concludes the book with a summary, suggestions for further reading and pointers to benchmarking tools available on the Web. The book is intended for researchers and graduate students of computer science and related subjects looking for an introduction to benchmarking cloud services, but also for industry practitioners who are interested in evaluating the quality of cloud services or who want to assess key qualities of their own implementations through cloud-based experiments.

Test-driven development (TDD) is a new approach to application development that is designed to eliminate the fear often associated with building software. Admittedly, some fear is healthy (often viewed as a conscience that tells programmers to “be careful!”), but the author believes that programmers build better software when they have the freedom to be creative. By building tests before coding begins, programmers ensure the success of their application from the outset. Students are more likely to achieve positive results with TDD. The author's example-driven approach also teaches students to be better communicators, and encourages team members to seek out constructive criticism.

The widespread use of XML in business and scientific databases has prompted the development of methodologies, techniques, and systems for effectively managing and analyzing XML data. This has increasingly attracted the attention of different research communities, including database, information retrieval, pattern recognition, and machine learning, from which several proposals have been offered to address problems in XML data management and knowledge discovery. XML Data Mining: Models, Methods, and Applications aims to collect knowledge from experts of database, information retrieval, machine learning, and knowledge management communities in developing models, methods, and systems for XML data mining. This book addresses key issues and challenges in XML data mining, offering insights into the various existing solutions and best practices for modeling, processing, analyzing XML data, and for evaluating performance of XML data mining algorithms and systems.

As systems become more prevalent and more complex, resilient adaptive systems are crucial when systems are needed in environments where change is the rule rather than the exception. Technological Innovations in Adaptive and Dependable Systems: Advancing Models and Concepts provides high quality, effective approaches to design, develop, maintain, evaluate, and benchmark adaptive and dependable systems that are built to sustain quality of service and experience despite the occurrence of potentially significant and sudden changes or failures in their infrastructure and surrounding environments. Providing academicians, practitioners, and researchers with insight, this book contains useful software and hardware aspects, conceptual models, applied and theoretical approaches, paradigms, and other technological innovations.

This comprehensive and timely publication aims to be an essential reference source, building on the available literature in the field of Gamification for the economic and social development of countries while providing further research opportunities in this dynamic and growing field. Thus, the book aims to provide the opportunity for a reflection on this important issue, increasing the understanding of the importance of Gamification in the context of organizations' improvements, providing relevant academic work, empirical research findings and, an overview of this relevant field of study. This text will provide the resources necessary for policymakers, technology developers, and managers to adopt and implement solutions for a more digital era.

This book provides an accessible introduction to the basic theory of fluid mechanics and computational fluid dynamics (CFD) from a modern perspective that unifies theory and numerical computation. Methods of scientific computing are introduced alongside with theoretical analysis and MATLAB (R) codes are presented and discussed for a broad range of topics: from interfacial shapes in hydrostatics, to vortex dynamics, to viscous flow, to turbulent flow, to panel methods for flow past airfoils. The third edition includes new topics, additional examples, solved and unsolved problems, and revised images. It adds more computational algorithms and MATLAB programs. It also incorporates discussion of the latest version of the fluid dynamics software library FDLIB, which is freely available online. FDLIB offers an extensive range of computer codes that demonstrate the implementation of elementary and advanced algorithms and provide an invaluable resource for research, teaching, classroom instruction, and self-study. This book is a must for students in all fields of engineering, computational physics, scientific computing, and applied mathematics. It can be used in both undergraduate and graduate courses in fluid mechanics, aerodynamics, and computational fluid dynamics. The audience includes not only advanced undergraduate and entry-level graduate students, but also a broad class of scientists and engineers with a general interest in scientific computing.

Problem solving is an essential part of every scientific discipline. It has two components: (1) problem identification and formulation, and (2) the solution to the formulated problem. One can solve a problem on its own using ad hoc techniques or by following techniques that have produced efficient solutions to similar problems. This requires the understanding of various algorithm design techniques, how and when to use them to formulate solutions, and the context appropriate for each of them.Algorithms: Design Techniques and Analysis advocates the study of algorithm design by presenting the most useful techniques and illustrating them with numerous examples - emphasizing on design techniques in problem solving rather than algorithms topics like searching and sorting. Algorithmic analysis in connection with example algorithms are explored in detail. Each technique or strategy is covered in its own chapter through numerous examples of problems and their algorithms.Readers will be equipped with problem solving tools needed in advanced courses or research in science and engineering.

This book puts the spotlight on how a real-time kernel works using Micrium s C/OS-III as a reference. The book consists of two complete parts. The first describes real-time kernels in generic terms. Part II provide examples for the reader, using Texas Instruments EVM-EVALBOT, a small, robotic evaluation board. The board is based on the Stellaris LM3S9B92 which combines the popular ARM Cortex-M3(r) architecture with Ethernet MAC+PHY, USB OTG (On-The-Go), and I2S. Together with the IAR Systems Embedded Workbench for ARM development tools, the evaluation board provides everything necessary to enable the reader to be up and running quickly, as well as a fun and educational experience, resulting in a high-level of proficiency in a short time.

This book is written for serious embedded systems programmers, consultants, hobbyists, and students interested in understanding the inner workings of a real-time kernel. C/OS-III is not just a great learning platform, but also a full commercial-grade software package, ready to be part of a wide range of products.

C/OS-III is a highly portable, ROMable, scalable, preemptive real-time, multitasking kernel designed specifically to address the demanding requirements of today s embedded systems. C/OS-III is the successor to the highly popular C/OS-II real-time kernel but can use most of C/OS-II s ports with minor modifications. Some of the features of C/OS-III are:

Preemptive multitasking with round-robin scheduling of tasks at the same priority
Supports and unlimited number of tasks and other kernel objects
Rich set of services: semaphores, mutual exclusion semaphores with full priority inheritance, event flags, message queues, timers, fixed-size memory block management, and more. Built-in performance measurements

In this work we plan to revise the main techniques for enumeration algorithms and to show four examples of enumeration algorithms that can be applied to efficiently deal with some biological problems modelled by using biological networks: enumerating central and peripheral nodes of a network, enumerating stories, enumerating paths or cycles, and enumerating bubbles. Notice that the corresponding computational problems we define are of more general interest and our results hold in the case of arbitrary graphs. Enumerating all the most and less central vertices in a network according to their eccentricity is an example of an enumeration problem whose solutions are polynomial and can be listed in polynomial time, very often in linear or almost linear time in practice. Enumerating stories, i.e. all maximal directed acyclic subgraphs of a graph G whose sources and targets belong to a predefined subset of the vertices, is on the other hand an example of an enumeration problem with an exponential number of solutions, that can be solved by using a non trivial brute-force approach. Given a metabolic network, each individual story should explain how some interesting metabolites are derived from some others through a chain of reactions, by keeping all alternative pathways between sources and targets. Enumerating cycles or paths in an undirected graph, such as a protein-protein interaction undirected network, is an example of an enumeration problem in which all the solutions can be listed through an optimal algorithm, i.e. the time required to list all the solutions is dominated by the time to read the graph plus the time required to print all of them. By extending this result to directed graphs, it would be possible to deal more efficiently with feedback loops and signed paths analysis in signed or interaction directed graphs, such as gene regulatory networks. Finally, enumerating mouths or bubbles with a source s in a directed graph, that is enumerating all the two vertex-disjoint directed paths between the source s and all the possible targets, is an example of an enumeration problem in which all the solutions can be listed through a linear delay algorithm, meaning that the delay between any two consecutive solutions is linear, by turning the problem into a constrained cycle enumeration problem. Such patterns, in a de Bruijn graph representation of the reads obtained by sequencing, are related to polymorphisms in DNA- or RNA-seq data.

This edited book presents the scientific outcomes of the 19th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2018), which was held in Busan, Korea on June 27-29, 2018. The aim of this conference was to bring together researchers and scientists, businessmen and entrepreneurs, teachers, engineers, computer users and students to discuss the numerous fields of computer science and to share their experiences and exchange new ideas and information in a meaningful way. The book includes research findings on all aspects (theory, applications and tools) of computer and information science and discusses the practical challenges encountered along the way and the solutions adopted to respond to them. The book includes 13 of the conference's most promising papers.

Despite decades of research, developing software that is fit for purpose, developed on time, and within budget remains a challenge. Many researchers have advocated the use of artificial intelligence techniques such as knowledge-based systems, neural networks, and data mining as a way of addressing these difficulties. ""Artificial Intelligence Applications for Improved Software Engineering Development: New Prospects"" provides an overview of useful techniques in artificial intelligence for future software development along with critical assessment for further advancement. A compendium of latest industry findings, this premier reference source offers researchers, academicians, and practitioners developmental ideas within the field.

This book highlights how real-time kernels work, using Micrium s C/OS-III as a reference. The book consists of two parts: Part I describes real-time kernels in generic terms, while Part II provides practical examples using NXP s LPC1768 Microcontroller, based on the ARM Cortex M3(rev 2) architecture. A companion evaluation board (Keil MCB1700) and IDE (Keil MDK Evaluation Version) enable the reader to quickly and easily evaluate the microcontroller, tools and RTOS. A range of examples are included, providing a unique hands-on experience, and leading to a faster and better understanding of the concepts presented in the book.

This book is written for serious embedded systems programmers, consultants, hobbyists, and students interested in understanding the inner workings of a real-time kernel. C/OS-III is not just a great learning platform, but also a full commercial-grade software package, ready to be part of a wide range of products.

C/OS-III is a highly portable, ROMable, scalable, preemptive real-time, multitasking kernel designed specifically to address the demanding requirements of today s embedded systems. C/OS-III is the successor to the highly popular C/OS-II real-time kernel but can use most of C/OS-II s ports with minor modifications. Some of the features of C/OS-III are:

Preemptive multitasking with round-robin scheduling of tasks at the same priority
Supports and unlimited number of tasks and other kernel objects
Rich set of services: semaphores, mutual exclusion semaphores with full priority inheritance, event flags, message queues, timers, fixed-size memory block management, and more.
Built-in performance measurements