Networking and Parallel/Distributed Computing 2011

This book constitutes the thoroughly refereed post proceedings of the 11th EAI International Conference on Collaborative Computing: Networking, Applications, and Worksharing, CollaborateCom 2015, held

"This book presents an in-depth discussion into the information technology revolution present in fields such as government, gaming, social networking, and cloud computing"--

Computer scientists, software engineers, and other basic and application researchers explore approaches to computing that have emerged from distributed systems and exploit the ubiquity of computers an

This self-contained book reviews and describes the key concepts, principles and applications of modern distributed computing systems and architectures. Essential for anyone seeking a solid grounding

Membrane systems are a new class of distributed and parallel model of computation inspired by the subdivision of living cells into compartments delimited by membranes. Their hierarchal internal struc

The advances in computing and networking have sparked an enormous interest in deploying automatic speech recognition on mobile devices and over communication networks. This book brings together academ

Security technology convergence, which refers to the incorporation of computing, networking, and communications technologies into electronic physical security systems, was first introduced in the 1970

Second-generation Internet-based services including mobile computing, social networking, podcasts, blogs, wikis, and interactive whiteboards have emerged as a major trend in information communication

This book presents the proceedings of the Distributed Ada '89 Symposium held at the University of Southampton in December. The objective of the symposium was to provide a platform for developers and users with experience in the areas of distributed and parallel environments to reveal the advantages and difficulties encountered. The impact of Ada-9X and other enhancements to the language were also explored.

This book contains a selection of refereed and revised papers from three special tracks: Ad-hoc and Wireless Sensor Networks, Intelligent Distributed Computing and, Business Intelligence and Big Data

Large-scale data analysis ("Big Data") is suddenly of crucial importance to virtually every enterprise. Mobile and social technologies are generating massive datasets, and distributed cloud computing

Grids are a crucial enabling technology for scientific and industrial development. Peer-to-peer computing, grid, distributed storage technologies, emerging web service technologies, and other types o

This book gathers a wealth of research contributions on recent advances in intelligent and distributed computing, and which present both architectural and algorithmic findings in these fields. A major

From its earliest days, the Fortran programming language has been designed with computing efficiency in mind. The latest standard, Fortran 2008, incorporates a host of modern features, including object-orientation, array operations, user-defined types, and provisions for parallel computing. This tutorial guide shows Fortran programmers how to apply these features in twenty-first-century style: modular, concise, object-oriented, and resource-efficient, using multiple processors. It offers practical real-world examples of interfacing to C, memory management, graphics and GUIs, and parallel computing using MPI, OpenMP, and coarrays. The author also analyzes several numerical algorithms and their implementations and illustrates the use of several open source libraries. Full source code for the examples is available on the book's website.

From its earliest days, the Fortran programming language has been designed with computing efficiency in mind. The latest standard, Fortran 2008, incorporates a host of modern features, including object-orientation, array operations, user-defined types, and provisions for parallel computing. This tutorial guide shows Fortran programmers how to apply these features in twenty-first-century style: modular, concise, object-oriented, and resource-efficient, using multiple processors. It offers practical real-world examples of interfacing to C, memory management, graphics and GUIs, and parallel computing using MPI, OpenMP, and coarrays. The author also analyzes several numerical algorithms and their implementations and illustrates the use of several open source libraries. Full source code for the examples is available on the book's website.

This book presents an integrated collection of representative approaches for scaling up machine learning and data mining methods on parallel and distributed computing platforms. Demand for parallelizing learning algorithms is highly task-specific: in some settings it is driven by the enormous dataset sizes, in others by model complexity or by real-time performance requirements. Making task-appropriate algorithm and platform choices for large-scale machine learning requires understanding the benefits, trade-offs and constraints of the available options. Solutions presented in the book cover a range of parallelization platforms from FPGAs and GPUs to multi-core systems and commodity clusters, concurrent programming frameworks including CUDA, MPI, MapReduce and DryadLINQ, and learning settings (supervised, unsupervised, semi-supervised and online learning). Extensive coverage of parallelization of boosted trees, SVMs, spectral clustering, belief propagation and other popular learning algo

This book presents an integrated collection of representative approaches for scaling up machine learning and data mining methods on parallel and distributed computing platforms. Demand for parallelizing learning algorithms is highly task-specific: in some settings it is driven by the enormous dataset sizes, in others by model complexity or by real-time performance requirements. Making task-appropriate algorithm and platform choices for large-scale machine learning requires understanding the benefits, trade-offs and constraints of the available options. Solutions presented in the book cover a range of parallelization platforms from FPGAs and GPUs to multi-core systems and commodity clusters, concurrent programming frameworks including CUDA, MPI, MapReduce and DryadLINQ, and learning settings (supervised, unsupervised, semi-supervised and online learning). Extensive coverage of parallelization of boosted trees, SVMs, spectral clustering, belief propagation and other popular learning algo

Large scale network-centric distributed systems continues to grow as one of the most important topics in computing and communication and many interdisciplinary areas. Dealing with both wired and wirel

Mobile devices, such as smart phones, have achieved computing and networking capabilities comparable to traditional personal computers. Their successful consumerization has also become a source of pai

This book constitutes the refereed proceedings of the First International Conference on Security Aspects in Information Technology, High-Performance Computing and Networking held in Haldia, India, in

@ is For Activism examines the transformation of politics through digital media, including digital television, online social networking and mobile computing. Joss Hands maps out how political relation

Planning of actions based on decision theory is a hot topic for many disciplines. Seemingly unlimited computing power, networking, integration and collaboration have meanwhile attracted the attention

This book takes a holistic view on mobile and distributed computing systems. It presents innovative solutions at all system layers. These range from hardware over vertical and horizontal infrastructur

The Handbook of Peer-to-Peer Networking is a comprehensive and unified repository of the various models, applications, methodologies, trends, and challenges of peer-to-peer computing, making it the s

This book provides readers with an overview of Cloud Computing, starting with historical background on mainframe computers and early networking protocols, leading to current concerns such as hardware

Since the 1990s Grid Computing has emerged as a paradigm for accessing and managing distributed, heterogeneous and geographically spread resources, promising that we will be able to access computer po

The energy consumption issue in distributed computing systems raises various monetary, environmental and system performance concerns. Electricity consumption in the US doubled from 2000 to 2005. From

'Trust' is used in a variety of ways in computing literature, and social trust is emerging as an important computational problem. In open, distributed systems, like the web, people and organizations

This book contains a selection of refereed and revised papers of the Intelligent Distributed Computing Track originally presented at the third International Symposium on Intelligent Informatics (ISI-2

This book constitutes the refereed proceedings of the International Standard Conference on Trustworthy Distributed Computing and Services, ISCTCS 2013, held in Beijing, China, in November 2013. The 49

The deployment of communications networks and distributed computing systems requires the use of open, standards-based, integrated management systems. During the last five years, the overall industry e

Creating scientific workflow applications is a very challenging task due to the complexity of the distributed computing environments involved, the complex control and data flow requirements of scienti

This book represents the combined peer-reviewed proceedings of the Fourth International Symposium on Intelligent Distributed Computing -- IDC 2010 and of the Second International Workshop on Multi-Age

In 1992 we initiated a research project on large scale distributed computing systems (LSDCS). It was a collaborative project involving research institutes and universities in Bologna, Grenoble, Lausan

Cloud computing, a key trend in networking, shows that availability and fault tolerance issues can directly impact on millions of end-users. Now diffused among end-user devices in mobile and wired net

This collection of papers presents an overview of the field and applications of social computing (such as social networking and social media). It is divided into four main sections that reflect the pe

This is a business dictionary of 29,019 defined technology terms -- covering the latest in telecommunications, computing, the Internet, The Internet of Things, networking and social media. It is a com

* Ubiquitous computing refers to computers embedded in everyday devices communicating with each other over ad-hoc wireless networks* Focuses on two very hot topics: ad-hoc wireless networking and secu

Heterogeneous Computing with OpenCL teaches OpenCL and parallel programming for complex systems that may include a variety of device architectures: multi-core CPUs, GPUs, and fully-integrated Accelera

This invaluable text/reference investigates the state of the art in approaches to building, monitoring, managing, and governing smart cities. A particular focus is placed on the distributed computing