This book includes state-of-the-art discussions on various issues and aspects of the implementation, testing, validation, and application of big data in the context of healthcare. The concept of big data is revolutionary, both from a technological and societal well-being standpoint. This book provides a comprehensive reference guide for engineers, scientists, and students studying/involved in the development of big data tools in the areas of healthcare and medicine. It also features a multifaceted and state-of-the-art literature review on healthcare data, its modalities, complexities, and methodologies, along with mathematical formulations.

The 73 full and 29 short papers presented were carefully reviewed and selected from 251 submissions. The papers are organized in topical sections on: Parallel and Distributed Architectures, Software Systems and Programming Models, Distributed and Parallel and Network-based Computing, Big Data and its Applications, Distributed and Parallel Algorithms, Applications of Distributed and Parallel Computing, Service Dependability and Security, IoT and CPS Computing, Performance Modelling and Evaluation.

The 73 full and 29 short papers presented were carefully reviewed and selected from 251 submissions. The papers are organized in topical sections on: Parallel and Distributed Architectures, Software Systems and Programming Models, Distributed and Parallel and Network-based Computing, Big Data and its Applications, Distributed and Parallel Algorithms, Applications of Distributed and Parallel Computing, Service Dependability and Security, IoT and CPS Computing, Performance Modelling and Evaluation.

The 9 full papers were carefully reviewed and selected from 21 submissions. The papers are organized in two topical tracks: mobile application and deep learning, and mobile application with data analysis.

This graduate-level textbook is ideally suited for lecturing the most relevant topics of Edge Computing and its ties to Artificial Intelligence (AI) and Machine Learning (ML) approaches. It starts from basics and gradually advances, step-by-step, to ways AI/ML concepts can help or benefit from Edge Computing platforms.

The book is structured into seven chapters; each comes with its own dedicated set of teaching materials (practical skills, demonstration videos, questions, lab assignments, etc.). Chapter 1 opens the book and comprehensively introduces the concept of distributed computing continuum systems that led to the creation of Edge Computing. Chapter 2 motivates the use of container technologies and how they are used to implement programmable edge computing platforms. Chapter 3 introduces ways to employ AI/ML approaches to optimize service lifecycles at the edge. Chapter 4 goes deeper in the use of AI/ML and introduces ways to optimize spreading computational tasks alongedge computing platforms. Chapter 5 introduces AI/ML pipelines to efficiently process generated data on the edge. Chapter 6 introduces ways to implement AI/ML systems on the edge and ways to deal with their training and inferencing procedures considering the limited resources available at the edge-nodes. Chapter 7 motivates the creation of a new orchestrator independent object model to descriptive objects (nodes, applications, etc.) and requirements (SLAs) for underlying edge platforms.

To provide hands-on experience to students and step-by-step improve their technical capabilities, seven sets of Tutorials-and-Labs (TaLs) are also designed. Codes and Instructions for each TaL is provided on the book website, and accompanied by videos to facilitate their learning process.

This four volume set LNCS 9528, 9529, 9530 and 9531 constitutes the refereed proceedings of the 15th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2015, held in Zhangjiajie, China, in November 2015.

The 219 revised full papers presented together with 77 workshop papers in these four volumes were carefully reviewed and selected from 807 submissions (602 full papers and 205 workshop papers). The first volume comprises the following topics: parallel and distributed architectures; distributed and network-based computing and internet of things and cyber-physical-social computing. The second volume comprises topics such as big data and its applications and parallel and distributed algorithms. The topics of the third volume are: applications of parallel and distributed computing and service dependability and security in distributed and parallel systems. The covered topics of the fourth volume are: software systems and programming models and performance modeling and evaluation.

This fourvolume set LNCS 9528, 9529, 9530 and 9531 constitutes the refereed proceedingsof the 15th International Conference on Algorithms and Architectures for ParallelProcessing, ICA3PP 2015, held in Zhangjiajie, China, in November 2015.

The 219revised full papers presented together with 77 workshop papers in these fourvolumes were carefully reviewed and selected from 807 submissions (602 fullpapers and 205 workshop papers). The first volume comprises the followingtopics: parallel and distributed architectures; distributed and network-basedcomputing and internet of things and cyber-physical-social computing. Thesecond volume comprises topics such as big data and its applications andparallel and distributed algorithms. The topics of the third volume are:applications of parallel and distributed computing and service dependabilityand security in distributed and parallel systems. The covered topics of the fourthvolume are: software systems and programming models and performance modelingand evaluation.

This fourvolume set LNCS 9528, 9529, 9530 and 9531 constitutes the refereed proceedingsof the 15th International Conference on Algorithms and Architectures for ParallelProcessing, ICA3PP 2015, held in Zhangjiajie, China, in November 2015.

The 219revised full papers presented together with 77 workshop papers in these fourvolumes were carefully reviewed and selected from 807 submissions (602 fullpapers and 205 workshop papers). The first volume comprises the followingtopics: parallel and distributed architectures; distributed and network-basedcomputing and internet of things and cyber-physical-social computing. Thesecond volume comprises topics such as big data and its applications andparallel and distributed algorithms. The topics of the third volume are:applications of parallel and distributed computing and service dependabilityand security in distributed and parallel systems. The covered topics of the fourthvolume are: software systems and programming models and performance modelingand evaluation.

This fourvolume set LNCS 9528, 9529, 9530 and 9531 constitutes the refereed proceedingsof the 15th International Conference on Algorithms and Architectures for ParallelProcessing, ICA3PP 2015, held in Zhangjiajie, China, in November 2015.

The 219revised full papers presented together with 77 workshop papers in these fourvolumes were carefully reviewed and selected from 807 submissions (602 fullpapers and 205 workshop papers). The first volume comprises the followingtopics: parallel and distributed architectures; distributed and network-basedcomputing and internet of things and cyber-physical-social computing. Thesecond volume comprises topics such as big data and its applications andparallel and distributed algorithms. The topics of the third volume are:applications of parallel and distributed computing and service dependabilityand security in distributed and parallel systems. The covered topics of the fourthvolume are: software systems and programming models and performance modelingand evaluation.

This book constitutes the refereed proceedings of theWorkshops and Symposiums of the 15th International Conference on Algorithms andArchitectures for Parallel Processing, ICA3PP 2015, held in Zhangjiajie, China,in November 2015.

The aim of these symposiums/workshops is to provide aforum to bring together practitioners and researchers from academia andindustry for discussion and presentations on the current research and futuredirections related to parallel processing technology. The themes and topics ofthese symposiums/workshops are a valuable complement to the overall scope ofICA3PP 2015 and give additional values and interests.

The Encyclopedia of Big Data Technologies provides researchers, educators, students and industry professionals with a comprehensive authority over the most relevant Big Data Technology concepts. With over 300 articles written by worldwide subject matter experts from both industry and academia, the encyclopedia covers topics such as big data storage systems, NoSQL database, cloud computing, distributed systems, data processing, data management, machine learning and social technologies, data science.  Each peer-reviewed, highly structured entry provides the reader with basic terminology, subject overviews, key research results, application examples, future directions, cross references and a bibliography. The entries are expository and tutorial, making this reference a practical resource for students, academics, or professionals. In addition, the distinguished, international editorial board of the encyclopedia consists of well-respected scholars, each developing topics based upon their expertise.

IT technology engineering changes everyday life, especially in Computing and Communications. The goal of this book is to further explore the theoretical and practical issues of Future Computing and Communications. It also aims to foster new ideas and collaboration between researchers and practitioners.

This book includes state-of-the-art discussions on various issues and aspects of the implementation, testing, validation, and application of big data in the context of healthcare. The concept of big data is revolutionary, both from a technological and societal well-being standpoint. This book provides a comprehensive reference guide for engineers, scientists, and students studying/involved in the development of big data tools in the areas of healthcare and medicine. It also features a multifaceted and state-of-the-art literature review on healthcare data, its modalities, complexities, and methodologies, along with mathematical formulations.

The 73 full and 29 short papers presented were carefully reviewed and selected from 251 submissions. The papers are organized in topical sections on: Parallel and Distributed Architectures, Software Systems and Programming Models, Distributed and Parallel and Network-based Computing, Big Data and its Applications, Distributed and Parallel Algorithms, Applications of Distributed and Parallel Computing, Service Dependability and Security, IoT and CPS Computing, Performance Modelling and Evaluation.

The 73 full and 29 short papers presented were carefully reviewed and selected from 251 submissions. The papers are organized in topical sections on: Parallel and Distributed Architectures, Software Systems and Programming Models, Distributed and Parallel and Network-based Computing, Big Data and its Applications, Distributed and Parallel Algorithms, Applications of Distributed and Parallel Computing, Service Dependability and Security, IoT and CPS Computing, Performance Modelling and Evaluation.

The 9 full papers were carefully reviewed and selected from 21 submissions. The papers are organized in two topical tracks: mobile application and deep learning, and mobile application with data analysis.

This graduate-level textbook is ideally suited for lecturing the most relevant topics of Edge Computing and its ties to Artificial Intelligence (AI) and Machine Learning (ML) approaches. It starts from basics and gradually advances, step-by-step, to ways AI/ML concepts can help or benefit from Edge Computing platforms.

The book is structured into seven chapters; each comes with its own dedicated set of teaching materials (practical skills, demonstration videos, questions, lab assignments, etc.). Chapter 1 opens the book and comprehensively introduces the concept of distributed computing continuum systems that led to the creation of Edge Computing. Chapter 2 motivates the use of container technologies and how they are used to implement programmable edge computing platforms. Chapter 3 introduces ways to employ AI/ML approaches to optimize service lifecycles at the edge. Chapter 4 goes deeper in the use of AI/ML and introduces ways to optimize spreading computational tasks alongedge computing platforms. Chapter 5 introduces AI/ML pipelines to efficiently process generated data on the edge. Chapter 6 introduces ways to implement AI/ML systems on the edge and ways to deal with their training and inferencing procedures considering the limited resources available at the edge-nodes. Chapter 7 motivates the creation of a new orchestrator independent object model to descriptive objects (nodes, applications, etc.) and requirements (SLAs) for underlying edge platforms.

To provide hands-on experience to students and step-by-step improve their technical capabilities, seven sets of Tutorials-and-Labs (TaLs) are also designed. Codes and Instructions for each TaL is provided on the book website, and accompanied by videos to facilitate their learning process.

This four volume set LNCS 9528, 9529, 9530 and 9531 constitutes the refereed proceedings of the 15th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2015, held in Zhangjiajie, China, in November 2015.

The 219 revised full papers presented together with 77 workshop papers in these four volumes were carefully reviewed and selected from 807 submissions (602 full papers and 205 workshop papers). The first volume comprises the following topics: parallel and distributed architectures; distributed and network-based computing and internet of things and cyber-physical-social computing. The second volume comprises topics such as big data and its applications and parallel and distributed algorithms. The topics of the third volume are: applications of parallel and distributed computing and service dependability and security in distributed and parallel systems. The covered topics of the fourth volume are: software systems and programming models and performance modeling and evaluation.

This fourvolume set LNCS 9528, 9529, 9530 and 9531 constitutes the refereed proceedingsof the 15th International Conference on Algorithms and Architectures for ParallelProcessing, ICA3PP 2015, held in Zhangjiajie, China, in November 2015.

The 219revised full papers presented together with 77 workshop papers in these fourvolumes were carefully reviewed and selected from 807 submissions (602 fullpapers and 205 workshop papers). The first volume comprises the followingtopics: parallel and distributed architectures; distributed and network-basedcomputing and internet of things and cyber-physical-social computing. Thesecond volume comprises topics such as big data and its applications andparallel and distributed algorithms. The topics of the third volume are:applications of parallel and distributed computing and service dependabilityand security in distributed and parallel systems. The covered topics of the fourthvolume are: software systems and programming models and performance modelingand evaluation.

This fourvolume set LNCS 9528, 9529, 9530 and 9531 constitutes the refereed proceedingsof the 15th International Conference on Algorithms and Architectures for ParallelProcessing, ICA3PP 2015, held in Zhangjiajie, China, in November 2015.

The 219revised full papers presented together with 77 workshop papers in these fourvolumes were carefully reviewed and selected from 807 submissions (602 fullpapers and 205 workshop papers). The first volume comprises the followingtopics: parallel and distributed architectures; distributed and network-basedcomputing and internet of things and cyber-physical-social computing. Thesecond volume comprises topics such as big data and its applications andparallel and distributed algorithms. The topics of the third volume are:applications of parallel and distributed computing and service dependabilityand security in distributed and parallel systems. The covered topics of the fourthvolume are: software systems and programming models and performance modelingand evaluation.

This fourvolume set LNCS 9528, 9529, 9530 and 9531 constitutes the refereed proceedingsof the 15th International Conference on Algorithms and Architectures for ParallelProcessing, ICA3PP 2015, held in Zhangjiajie, China, in November 2015.

The 219revised full papers presented together with 77 workshop papers in these fourvolumes were carefully reviewed and selected from 807 submissions (602 fullpapers and 205 workshop papers). The first volume comprises the followingtopics: parallel and distributed architectures; distributed and network-basedcomputing and internet of things and cyber-physical-social computing. Thesecond volume comprises topics such as big data and its applications andparallel and distributed algorithms. The topics of the third volume are:applications of parallel and distributed computing and service dependabilityand security in distributed and parallel systems. The covered topics of the fourthvolume are: software systems and programming models and performance modelingand evaluation.

This book constitutes the refereed proceedings of theWorkshops and Symposiums of the 15th International Conference on Algorithms andArchitectures for Parallel Processing, ICA3PP 2015, held in Zhangjiajie, China,in November 2015.

The aim of these symposiums/workshops is to provide aforum to bring together practitioners and researchers from academia andindustry for discussion and presentations on the current research and futuredirections related to parallel processing technology. The themes and topics ofthese symposiums/workshops are a valuable complement to the overall scope ofICA3PP 2015 and give additional values and interests.

The Encyclopedia of Big Data Technologies provides researchers, educators, students and industry professionals with a comprehensive authority over the most relevant Big Data Technology concepts. With over 300 articles written by worldwide subject matter experts from both industry and academia, the encyclopedia covers topics such as big data storage systems, NoSQL database, cloud computing, distributed systems, data processing, data management, machine learning and social technologies, data science.  Each peer-reviewed, highly structured entry provides the reader with basic terminology, subject overviews, key research results, application examples, future directions, cross references and a bibliography. The entries are expository and tutorial, making this reference a practical resource for students, academics, or professionals. In addition, the distinguished, international editorial board of the encyclopedia consists of well-respected scholars, each developing topics based upon their expertise.

IT technology engineering changes everyday life, especially in Computing and Communications. The goal of this book is to further explore the theoretical and practical issues of Future Computing and Communications. It also aims to foster new ideas and collaboration between researchers and practitioners.