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Soft Computing: Theories and Applications
This book focuses on soft computing and how it can be applied to solve real-world problems arising in various domains, ranging from medicine and healthcare, to supply chain management, image processing and cryptanalysis. It gathers high-quality papers presented at the International Conference on Soft Computing: Theories and Applications (SoCTA 2019), organized by the National Institute of Technology Patna, India. Offering valuable insights into soft computing for teachers and researchers alike, the book will inspire further research in this dynamic field.
Peer-to-Peer Systems II
In very short time, peer-to-peer computing has evolved from an attractive new paradigm into an exciting and vibrant research field bringing together researchers from systems, networking, and theory. This book constitutes the thoroughly refereed post-proceedings of the Second International Workshop on Peer-to-Peer Systems, IPTPS 2003, held in Berkeley, CA, USA in February 2003. The 27 revised papers presented together with an introductory summary of the discussions at the workshop were carefully selected during two rounds of reviewing and revision from initially 166 submissions. The papers are organized in topical sections on experience with P2P; theory and algorithms, P2P in a broader perspective; incentive and fairness; new DHT designs; naming, indexing, and searching; file sharing; and networking and applications.
Data-Intensive Workflow Management
Workflows may be defined as abstractions used to model the coherent flow of activities in the context of an in silico scientific experiment. They are employed in many domains of science such as bioinformatics, astronomy, and engineering. Such workflows usually present a considerable number of activities and activations (i.e., tasks associated with activities) and may need a long time for execution. Due to the continuous need to store and process data efficiently (making them data-intensive workflows), high-performance computing environments allied to parallelization techniques are used to run these workflows. At the beginning of the 2010s, cloud technologies emerged as a promising environmen...
Path-policy Compliant Networking and a Platform for Heterogeneous IaaS Management
The dissertation is divided into two parts, each of which can stand independently of the other: ICING and Expedient. The ICING project aims to build a network architecture that empowers the end-points of a communication by giving them control over the path used for the communication. The challenge is providing this control without violating the policies of the providers carrying the communication's traffic and ensuring that the path is followed. ICING consists of a number of sub-projects: ICING-PVM, ICING-ON, and ICING-L3. Expedient is an answer to the following question: How can users manage resources across a federated set of Infrastructure-as-a-Service (IaaS) providers? These resources ma...
Large Scale and Big Data
Large Scale and Big Data: Processing and Management provides readers with a central source of reference on the data management techniques currently available for large-scale data processing. Presenting chapters written by leading researchers, academics, and practitioners, it addresses the fundamental challenges associated with Big Data processing t
High-Performance Big Data Computing
An in-depth overview of an emerging field that brings together high-performance computing, big data processing, and deep lLearning. Over the last decade, the exponential explosion of data known as big data has changed the way we understand and harness the power of data. The emerging field of high-performance big data computing, which brings together high-performance computing (HPC), big data processing, and deep learning, aims to meet the challenges posed by large-scale data processing. This book offers an in-depth overview of high-performance big data computing and the associated technical issues, approaches, and solutions. The book covers basic concepts and necessary background knowledge, ...
Software Defined Networks
Software Defined Networks: A Comprehensive Approach, Second Edition provides in-depth coverage of the technologies collectively known as Software Defined Networking (SDN). The book shows how to explain to business decision-makers the benefits and risks in shifting parts of a network to the SDN model, when to integrate SDN technologies in a network, and how to develop or acquire SDN applications. In addition, the book emphasizes the parts of the technology that encourage opening up the network, providing treatment for alternative approaches to SDN that expand the definition of SDN as networking vendors adopt traits of SDN to their existing solutions. Since the first edition was published, the...
Integration of Wireless Sensor Networks in Pervasive Computing Scenarios
Using wireless sensor networks as part of pervasive computing scenarios is a difficult problem. It involves providing functionality and node behavior required by pervasive computing applications given the very limited capabilities and the constraints of wireless sensor nodes. The goal of this work is to investigate the problem of integrating wireless sensor nodes and wireless sensor networks in pervasive computing scenarios and to develop solutions that facilitate such an integration. Based on an analysis of both research areas, of their specific properties and requirements as well as the similarities and differences of the two fields, we identify and discuss a set of five fundamental problem areas that complicate the integration of sensor networks and pervasive computing: communication, network setup and configuration, user experience, security and flexibility and adaptability. In the main part of this work, we then introduce a total of six solution approaches that deal with different aspects of the identified problem areas.
Complex Networks
In the last decade we have seen the emergence of a new inter-disciplinary field concentrating on the understanding large networks which are dynamic, large, open, and have a structure that borders order and randomness. The field of Complex Networks has helped us better understand many complex phenomena such as spread of decease, protein interaction, social relationships, to name but a few. The field of Complex Networks has received a major boost caused by the widespread availability of huge network data resources in the last years. One of the most surprising findings is that real networks behave very distinct from traditional assumptions of network theory. Traditionally, real networks were su...
Heterogeneous Network Quality of Service Systems
Heterogeneous Network Quality of Service Systems will be especially useful for networking professionals and researchers, advanced level students, and other information technology professionals whose work relate to the Internet.
