The past few years have seen a major change in computing systems, as growing data volumes and stalling processor speeds require more and more applications to scale out to clusters. Today, a myriad data sources, from the Internet to business operations to scientific instruments, produce large and valuable data streams. However, the processing capabilities of single machines have not kept up with the size of data. As a result, organizations increasingly need to scale out their computations over clusters. At the same time, the speed and sophistication required of data processing have grown. In addition to simple queries, complex algorithms like machine learning and graph analysis are becoming common. And in addition to batch processing, streaming analysis of real-time data is required to let organizations take timely action. Future computing platforms will need to not only scale out traditional workloads, but support these new applications too. This book, a revised version of the 2014 ACM Dissertation Award winning dissertation, proposes an architecture for cluster computing systems that can tackle emerging data processing workloads at scale. Whereas early cluster computing systems, like MapReduce, handled batch processing, our architecture also enables streaming and interactive queries, while keeping MapReduce's scalability and fault tolerance. And whereas most deployed systems only support simple one-pass computations (e.g., SQL queries), ours also extends to the multi-pass algorithms required for complex analytics like machine learning. Finally, unlike the specialized systems proposed for some of these workloads, our architecture allows these computations to be combined, enabling rich new applications that intermix, for example, streaming and batch processing. We achieve these results through a simple extension to MapReduce that adds primitives for data sharing, called Resilient Distributed Datasets (RDDs). We show that this is enough to capture a wide range of workloads. We implement RDDs in the open source Spark system, which we evaluate using synthetic and real workloads. Spark matches or exceeds the performance of specialized systems in many domains, while offering stronger fault tolerance properties and allowing these workloads to be combined. Finally, we examine the generality of RDDs from both a theoretical modeling perspective and a systems perspective. This version of the dissertation makes corrections throughout the text and adds a new section on the evolution of Apache Spark in industry since 2014. In addition, editing, formatting, and links for the references have been added.

The World Wide Web is changing the way we use technology, bringing e-learning and teaching to a whole new dimension of collaboration and communication. Looking Toward the Future of Technology-Enhanced Education: Ubiquitous Learning and the Digital Native bridges the gap between technology and education by presenting innovative research on the future of education. An essential reference on e-learning, this scholarly publication examines current research in technology enhanced learning, provides new didactic models for education, and discusses the newest technologies and their impact on education.

A key focus in recent years has been on sustainable development and promoting environmentally conscious practices. In today's rapidly evolving technological world, it is important to consider how technology can be applied to solve problems across disciplines and fields in these areas. Further study is needed in order to understand how technology can be applied to sustainability and the best practices, considerations, and challenges that follow. Futuristic Trends for Sustainable Development and Sustainable Ecosystems discusses recent advances and innovative research in the area of information and communication technology for sustainable development and covers practices in several artificial intelligence fields such as knowledge representation and reasoning, natural language processing, machine learning, and the semantic web. Covering topics such as blockchain, deep learning, and renewable energy, this reference work is ideal for computer scientists, industry professionals, researchers, academicians, scholars, instructors, and students.

Complexes of physically interacting proteins constitute fundamental functional units that drive almost all biological processes within cells. A faithful reconstruction of the entire set of protein complexes (the "complexosome") is therefore important not only to understand the composition of complexes but also the higher level functional organization within cells. Advances over the last several years, particularly through the use of high-throughput proteomics techniques, have made it possible to map substantial fractions of protein interactions (the "interactomes") from model organisms including Arabidopsis thaliana (a flowering plant), Caenorhabditis elegans (a nematode), Drosophila melanogaster (fruit fly), and Saccharomyces cerevisiae (budding yeast). These interaction datasets have enabled systematic inquiry into the identification and study of protein complexes from organisms. Computational methods have played a significant role in this context, by contributing accurate, efficient, and exhaustive ways to analyze the enormous amounts of data. These methods have helped to compensate for some of the limitations in experimental datasets including the presence of biological and technical noise and the relative paucity of credible interactions. In this book, we systematically walk through computational methods devised to date (approximately between 2000 and 2016) for identifying protein complexes from the network of protein interactions (the protein-protein interaction (PPI) network). We present a detailed taxonomy of these methods, and comprehensively evaluate them for protein complex identification across a variety of scenarios including the absence of many true interactions and the presence of false-positive interactions (noise) in PPI networks. Based on this evaluation, we highlight challenges faced by the methods, for instance in identifying sparse, sub-, or small complexes and in discerning overlapping complexes, and reveal how a combination of strategies is necessary to accurately reconstruct the entire complexosome.

Developments in Technologies for Human-Centric Mobile Computing and Applications is a comprehensive collection of knowledge and practice in the development of technologies in human -centric mobile technology. This book focuses on the developmental aspects of mobile technology; bringing together researchers, educators, and practitioners to encourage readers to think outside of the box.

Silver Bullets isn't about understanding the technology of standard, interoperable data; it's about why the technology is important and how you can use it. If you care about effective operations, no matter your job title, this book is for you. Interoperable data is a major game changer for business and information technology, government and commercial, national and international organizations. This book will let you make it happen, versus wondering what happened and how you were left behind. As Frederick Brooks famously noted in The Mythical Man-Month: Essays on Software Engineering, there is no single-approach solution - no Silver Bullet - that delivers significant improvements in productivity, reliability, or simplicity. But in Silver Bullets, Pete O'Dell shows how a single concept - standardized data interoperability - yields improvements in any industry to which it is applied. O'Dell builds his case by reviewing the past. From the Great Wall of China to shipping containers, from punched cards to the VISA network, standardization has fueled enormous breakthroughs. O'Dell investigates current data standardization including XML and the Common Alerting Protocol, using case studies to illustrate success stories ranging from homeland defense to diabetes management. Finally, O'Dell offers practical suggestions on how to get started with interoperable data and points to emerging leaders in commercial, governmental and not-for-profit fields. This accessible, plain-spoken book is full of parables, anecdotes and stories, delivering humor as well as insight. Reading it enables you to make practical decisions about your organization's future and growth. Silver Bullets shines a clear light into your inoperable future.

a) Provides basic concepts of Natural Language Processing for getting started from scratch. b) Introduces advanced concepts for scaling, deep learning and real-world issues seen in the industry. c) Provides applications of Natural Language Processing over a diverse set of 15 industry verticals. d) Shares practical implementation including Python code, tools and techniques for a variety of Natural Language Processing applications and industrial products for a hands-on experience. e) Gives readers a sense of all there is to build successful Natural Language Processing projects: the concepts, applications, opportunities and hands-on material.

Take an active role in managing technology!

From new business models to new types of business, information technology has become a key driver of business and an essential component of corporate strategy. But simply acquiring technology is not enough; organizations must manage IT effectively to gain the competitive advantage.

Henry Lucas's Information Technology: Strategic Decision Making for Managers focuses on the key knowledge and skills you need to take an active role in managing technology and obtain the maximum benefits from investing in IT. Offering streamlined, up-to-date coverage, the text is ideally suited for MBA students or anyone who wants to learn more about how to gain the competitive advantage by successfully managing IT.

Features Focuses on managerial issues: This text explores the many real technology issues confronting today's managers, such as what to do with legacy systems, when to outsource, and how to choose a source of processing and services. Shows how to evaluate IT investments: Two full chapters cover the value of information technology and how to evaluate IT project proposals using both net present value and real options approaches. Balances technical and managerial coverage: This balance helps you understand how diverse companies have developed their IT architectures and environments. Explains the various applications of technology: Concrete examples illustrate major IT applications, such as ecommerce, ERP, CRM, decision and intelligent systems, and knowledge management.

In today's society, the professional development of teachers is urgent due to the constant change in working conditions and the impact that information and communication technologies have in teaching practices. ""Online Learning Communities and Teacher Professional Development: Methods for Improved Education Delivery"" features innovative applications and solutions useful for teachers in developing knowledge and skills for the integration of technology into everyday teaching practices. This defining collection of field research discusses how technology itself can serve as an important resource in terms of providing arenas for professional development.

This book presents recently developed computational approaches for the study of reactive materials under extreme physical and thermodynamic conditions. It delves into cutting edge developments in simulation methods for reactive materials, including quantum calculations spanning nanometer length scales and picosecond timescales, to reactive force fields, coarse-grained approaches, and machine learning methods spanning microns and nanoseconds and beyond. These methods are discussed in the context of a broad range of fields, including prebiotic chemistry in impacting comets, studies of planetary interiors, high pressure synthesis of new compounds, and detonations of energetic materials. The book presents a pedagogical approach for these state-of-the-art approaches, compiled into a single source for the first time. Ultimately, the volume aims to make valuable research tools accessible to experimentalists and theoreticians alike for any number of scientific efforts, spanning many different types of compounds and reactive conditions.

As today's world continues to advance, Artificial Intelligence (AI) is a field that has become a staple of technological development and led to the advancement of numerous professional industries. An application within AI that has gained attention is machine learning. Machine learning uses statistical techniques and algorithms to give computer systems the ability to understand and its popularity has circulated through many trades. Understanding this technology and its countless implementations is pivotal for scientists and researchers across the world. The Handbook of Research on Emerging Trends and Applications of Machine Learning provides a high-level understanding of various machine learning algorithms along with modern tools and techniques using Artificial Intelligence. In addition, this book explores the critical role that machine learning plays in a variety of professional fields including healthcare, business, and computer science. While highlighting topics including image processing, predictive analytics, and smart grid management, this book is ideally designed for developers, data scientists, business analysts, information architects, finance agents, healthcare professionals, researchers, retail traders, professors, and graduate students seeking current research on the benefits, implementations, and trends of machine learning.

Have you ever felt like students are inundated with material that's outside of their field, subject to change, or so technical the student loses interest? Information Systems for the Non-Technical Manager provides an inside look at the principles that make information systems a field in its own right and invites students to apply these principles to all aspects of business management. The book presents an unfolding explanation of information systems through the lens of custom-designed conceptual models. The four distinct parts of the book invite the reader to consider the purpose of information systems. In the first part, students consider what questions are being asked that information systems can answer. In the second part, students break apart and examine each component of information systems piece by piece. In the third part, the pieces are joined together and presented as a cohesive whole. Finally, there is a practical section that includes interviews with current experts in the field, select case studies, and a historical survey that provides context for how modern information systems have developed over time. Presenting the reader with timeless principles that apply to real-world scenarios, regardless of discipline, Information Systems for the Non-Technical Manager is the ideal solution for survey courses for non-majors.

Numerical Methods for Linear Control Systems Design and Analysis is an interdisciplinary textbook aimed at systematic descriptions and implementations of numerically-viable algorithms based on well-established, efficient and stable modern numerical linear techniques for mathematical problems arising in the design and analysis of linear control systems both for the first- and second-order models. MATLAB-based software is included for implementing all of the major algorithms from the book.
* Unique coverage of modern mathematical concepts such as parallel computations, second-order systems, and large-scale solutions
* Background material in linear algebra, numerical linear algebra, and control theory included in text
* Step-by-step explanations of the algorithms and examples
* Includes MATLAB-based solution software

A firewall is as good as its policies and the security of its VPN connections. The latest generation of firewalls offers a dizzying array of powerful options; they key to success is to write concise policies that provide the appropriate level of access while maximizing security.
This book covers the leading firewall products: Cisco PIX, Check Point NGX, Microsoft ISA Server, Juniper s NetScreen Firewall, and SonicWall. It describes in plain English what features can be controlled by a policy, and walks the reader through the steps for writing the policy to fit the objective. Because of their vulnerability and their complexity, VPN policies are covered in more depth with numerous tips for troubleshooting remote connections.
. The only book that focuses on creating policies that apply to multiple products.
. Included is a bonus chapter on using Ethereal, the most popular protocol analyzer, to monitor and analyze network traffic.
. Shows what features can be controlled by a policy, and walks you through the steps for writing the policy to fit the objective at hand"

The growing trend for high-quality computer science in school curricula has drawn recent attention in classrooms. With an increasingly information-based and global society, computer science education coupled with computational thinking has become an integral part of an experience for all students, given that these foundational concepts and skills intersect cross-disciplinarily with a set of mental competencies that are relevant in their daily lives and work. While many agree that these concepts should be taught in schools, there are systematic inequities that exist to prevent students from accessing related computer science skills. The Handbook of Research on Equity in Computer Science in P-16 Education is a comprehensive reference book that highlights relevant issues, perspectives, and challenges in P-16 environments that relate to the inequities that students face in accessing computer science or computational thinking and examines methods for challenging these inequities in hopes of allowing all students equal opportunities for learning these skills. Additionally, it explores the challenges and policies that are created to limit access and thus reinforce systems of power and privilege. The chapters highlight issues, perspectives, and challenges faced in P-16 environments that include gender and racial imbalances, population of growing computer science teachers who are predominantly white and male, teacher preparation or lack of faculty expertise, professional development programs, and more. It is intended for teacher educators, K-12 teachers, high school counselors, college faculty in the computer science department, school administrators, curriculum and instructional designers, directors of teaching and learning centers, policymakers, researchers, and students.

In the time of constant technological and managerial advancement, firms of the 21st century are faced with an ongoing quest for implementing more effective strategies and methodologies to remain at the apex of the information resources management industry. Researchers and pioneers of academia incessantly delve into potential solutions to increase efficacy within technological and information resources management, as well as identify the emerging technologies and trends. ""Emerging Information Resources Management and Technologies"" supplies the industry leaders, practicing managers, researchers, experts, and educators with the most current findings on undertaking the operation of the latest information technology reforms, developments, and changes. ""Emerging Information Resources Management and Technologies"" presents the issues facing modern organizations and provides the most recent strategies in overcoming the obstacles of the ever-evolving information management and utilization industry.

The book aim is to define the Internet of Things (IoT) in a global view, present the research agenda for Internet of Things technologies by addressing the new technological developments and providing a global balanced coverage of the challenges and the technical and industrial trends.Energy consumption by the data, communication and networking devices and global CO2 emission is increasing exponentially. ICT has a dual role in this process: it accounts for about two percent of global CO2 emissions and at the same the ICT including IoT technologies and applications have a direct effect on lowering CO2 emissions, increasing energy efficiency, reducing power consumption, and achieving efficient waste recycling.The book builds on the ideas put forward by the European research Cluster on the Internet of Things Strategic Research Agenda and presents global views and state of the art results on the challenges facing the research, development and deployment of IoT at the global level.IoT together with the other emerging Internet developments such as Internet of Energy, Media, People, Services, Business/Enterprises are the backbone of the digital economy, the digital society and the foundation for the future knowledge based economy and innovation society. IoT developments show that we will have 16 billion connected devices by the year 2020 , which will average out to six devices per person on earth and to many more per person in digital societies.Devices like smart phones and machine to machine or thing to thing communication will be the main drivers for further IoT development. The first direct consequence of the IoT is the generation of huge quantities of data, where every physical or virtual object may have a digital twin in the cloud, which could be generating regular updates. The IoT contribution is in the increased value of information created by the number of interconnections among things and the transformation of the processed information into knowledge for the benefit of mankind and society. The Internet of Things market is connected to industrial machine to machine (M2M) systems, smart meters and enabling technologies such as nanoelectronics, communications, sensors, smart phones, embedded systems, cloud computing and software technologies that will create new products, new services, new interfaces by creating smart environments and smart spaces with applications ranging from smart transport, cities, buildings, energy, grid, to smart health and life.Technical topics discussed in the book include:* The Internet of Things: The Way Ahead* Internet of Things Strategic Research Agenda* Challenges of a Sustainable Roadmap for the Internet of Things* Technologies behind Internet of Things: From Nanoelectronics and Embedded Systems to Cloud Computing and Cognitive Systems* Machine to machine (M2M) communication and the emerging Internet of Things applications* The "Internet of Things" based on IPv6. Paving the way to Smart IPv6 Buildings* "Internet of Things - from Ubiquitous Computing to Ubiquitous Intelligence Applications"* Virtualization of network resources and Physical devices in Internet of Things applications* Validation and Interoperability challenges for IoT* Mobile devices enable IoT evolution from industrial applications to mass consumer applications* Interoperability, Standardisation and Governance in the era of Internet of Things (IoT)* Technologies, Applications, and Governance in the Internet of Things* Opportunities, Challenges for Internet of Things Technologies

Talk to just about any Information Technology (IT) executive today and you're likely to hear the same complaint: "Even though we have invested millions of dollars each year in technical infrastructure and support, we don't get the results we expect." The focus of IT management over the past several decades has been on maximizing the benefit that comes from IT investments. Particular attention is paid to finding the right hardware, software, networks, and processes to allow IT to contribute to the bottom line of the business. And still, with all of this focus, IT organizations find themselves unable to meet the demands of their clients. Perhaps a shift in focus is needed. IT PEOPLE: Doing More With Less shifts the focus to the IT people. Because while it is right to focus on getting the hardware, software, networks, and processes right, people are the resources that ultimately make a difference in getting results and meeting the demands of clients. And since people costs are often the largest part of the IT budgets, and our focus has been elsewhere, it could be that a focus on IT people is long overdue. This book is intended for every IT professional (management and individual contributors) who faces the constant challenge of performing a big job with ever-shrinking departmental resources. Whether you are a manager or an individual technician, this book is for you. It will help you improve your ability to plan your work and, meet your commitments while being an effective political actor. Our aim in this book is to provide you with a tool that will not only help you deliver greater value to your organization, but do so in a way that provides a greater degree of job satisfaction andquality of life. IT PEOPLE: Doing More With Less is intended as a practical tool, not a theoretical book. The content of the book comes from the experiences of the authors, each of whom has spent years managing IT organizations and consulting with clients around the worl

Metaheuristic algorithms are present in various applications for different domains. Recently, researchers have conducted studies on the effectiveness of these algorithms in providing optimal solutions to complicated problems. Advancements in Applied Metaheuristic Computing is a crucial reference source for the latest empirical research on methods and approaches that include metaheuristics for further system improvements, and it offers outcomes of employing optimization algorithms. Featuring coverage on a broad range of topics such as manufacturing, genetic programming, and medical imaging, this publication is ideal for researchers, academicians, advanced-level students, and technology developers seeking current research on the use of optimization algorithms in several applications.