Mining And Control Of Network Traffic By Computational Intelligence

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Mining and Control of Network Traffic by Computational Intelligence

Federico Montesino Pouzols,Diego R. Lopez,Joaquim Barros
Mining and Control of Network Traffic by Computational Intelligence Book PDF

Author : Federico Montesino Pouzols,Diego R. Lopez,Joaquim Barros
Publisher : Springer
Page : 309 pages
File Size : 43,7 Mb
Release : 2011-02-05
Category : Technology & Engineering
ISBN : 9783642180842

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Mining and Control of Network Traffic by Computational Intelligence by Federico Montesino Pouzols,Diego R. Lopez,Joaquim Barros Pdf

As other complex systems in social and natural sciences as well as in engineering, the Internet is hard to understand from a technical point of view. Packet switched networks defy analytical modeling. The Internet is an outstanding and challenging case because of its fast development, unparalleled heterogeneity and the inherent lack of measurement and monitoring mechanisms in its core conception. This monograph deals with applications of computational intelligence methods, with an emphasis on fuzzy techniques, to a number of current issues in measurement, analysis and control of traffic in the Internet. First, the core building blocks of Internet Science and other related networking aspects are introduced. Then, data mining and control problems are addressed. In the first class two issues are considered: predictive modeling of traffic load as well as summarization of traffic flow measurements. The second class, control, includes active queue management schemes for Internet routers as well as window based end-to-end rate and congestion control. The practical hardware implementation of some of the fuzzy inference systems proposed here is also addressed. While some theoretical developments are described, we favor extensive evaluation of models using real-world data by simulation and experiments.

Mining and Control of Network Traffic by Computational Intelligence

Federico Montesino Pouzols,Diego R. Lopez,Joaquim Barros
Mining and Control of Network Traffic by Computational Intelligence Book PDF

Author : Federico Montesino Pouzols,Diego R. Lopez,Joaquim Barros
Publisher : Springer Science & Business Media
Page : 322 pages
File Size : 51,7 Mb
Release : 2011-02-10
Category : Computers
ISBN : 9783642180835

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Mining and Control of Network Traffic by Computational Intelligence by Federico Montesino Pouzols,Diego R. Lopez,Joaquim Barros Pdf

As other complex systems in social and natural sciences as well as in engineering, the Internet is hard to understand from a technical point of view. Packet switched networks defy analytical modeling. The Internet is an outstanding and challenging case because of its fast development, unparalleled heterogeneity and the inherent lack of measurement and monitoring mechanisms in its core conception. This monograph deals with applications of computational intelligence methods, with an emphasis on fuzzy techniques, to a number of current issues in measurement, analysis and control of traffic in the Internet. First, the core building blocks of Internet Science and other related networking aspects are introduced. Then, data mining and control problems are addressed. In the first class two issues are considered: predictive modeling of traffic load as well as summarization of traffic flow measurements. The second class, control, includes active queue management schemes for Internet routers as well as window based end-to-end rate and congestion control. The practical hardware implementation of some of the fuzzy inference systems proposed here is also addressed. While some theoretical developments are described, we favor extensive evaluation of models using real-world data by simulation and experiments.

Next Generation Data Technologies for Collective Computational Intelligence

Nik Bessis,Fatos Xhafa
Next Generation Data Technologies for Collective Computational Intelligence Book PDF

Author : Nik Bessis,Fatos Xhafa
Publisher : Springer Science & Business Media
Page : 637 pages
File Size : 51,8 Mb
Release : 2011-04-28
Category : Computers
ISBN : 9783642203435

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Next Generation Data Technologies for Collective Computational Intelligence by Nik Bessis,Fatos Xhafa Pdf

This book focuses on next generation data technologies in support of collective and computational intelligence. The book brings various next generation data technologies together to capture, integrate, analyze, mine, annotate and visualize distributed data – made available from various community users – in a meaningful and collaborative for the organization manner. A unique perspective on collective computational intelligence is offered by embracing both theory and strategies fundamentals such as data clustering, graph partitioning, collaborative decision making, self-adaptive ant colony, swarm and evolutionary agents. It also covers emerging and next generation technologies in support of collective computational intelligence such as Web 2.0 social networks, semantic web for data annotation, knowledge representation and inference, data privacy and security, and enabling distributed and collaborative paradigms such as P2P, Grid and Cloud Computing due to the geographically dispersed and distributed nature of the data. The book aims to cover in a comprehensive manner the combinatorial effort of utilizing and integrating various next generations collaborative and distributed data technologies for computational intelligence in various scenarios. The book also distinguishes itself by assessing whether utilization and integration of next generation data technologies can assist in the identification of new opportunities, which may also be strategically fit for purpose.

Meta-Learning in Computational Intelligence

Norbert Jankowski,Włodzisław Duch,Krzysztof Grąbczewski
Meta Learning in Computational Intelligence Book PDF

Author : Norbert Jankowski,Włodzisław Duch,Krzysztof Grąbczewski
Publisher : Springer Science & Business Media
Page : 362 pages
File Size : 50,7 Mb
Release : 2011-06-10
Category : Computers
ISBN : 9783642209796

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Meta-Learning in Computational Intelligence by Norbert Jankowski,Włodzisław Duch,Krzysztof Grąbczewski Pdf

Computational Intelligence (CI) community has developed hundreds of algorithms for intelligent data analysis, but still many hard problems in computer vision, signal processing or text and multimedia understanding, problems that require deep learning techniques, are open. Modern data mining packages contain numerous modules for data acquisition, pre-processing, feature selection and construction, instance selection, classification, association and approximation methods, optimization techniques, pattern discovery, clusterization, visualization and post-processing. A large data mining package allows for billions of ways in which these modules can be combined. No human expert can claim to explore and understand all possibilities in the knowledge discovery process. This is where algorithms that learn how to learnl come to rescue. Operating in the space of all available data transformations and optimization techniques these algorithms use meta-knowledge about learning processes automatically extracted from experience of solving diverse problems. Inferences about transformations useful in different contexts help to construct learning algorithms that can uncover various aspects of knowledge hidden in the data. Meta-learning shifts the focus of the whole CI field from individual learning algorithms to the higher level of learning how to learn. This book defines and reveals new theoretical and practical trends in meta-learning, inspiring the readers to further research in this exciting field.

Computational Intelligence

Kurosh Madani,António Dourado Correia,Agostinho Rosa,Joaquim Filipe
Computational Intelligence Book PDF

Author : Kurosh Madani,António Dourado Correia,Agostinho Rosa,Joaquim Filipe
Publisher : Springer Science & Business Media
Page : 290 pages
File Size : 42,5 Mb
Release : 2011-04-08
Category : Computers
ISBN : 9783642202056

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Computational Intelligence by Kurosh Madani,António Dourado Correia,Agostinho Rosa,Joaquim Filipe Pdf

The present book includes a set of selected extended papers from the first International Joint Conference on Computational Intelligence (IJCCI 2009), held in Madeira, Portugal, from 5 to 7 October 2009. The conference was composed by three co-located conferences: The International Conference on Fuzzy Computation (ICFC), the International Conference on Evolutionary Computation (ICEC), and the International Conference on Neural Computation (ICNC). Recent progresses in scientific developments and applications in these three areas are reported in this book. IJCCI received 231 submissions, from 35 countries, in all continents. After a double blind paper review performed by the Program Committee, only 21 submissions were accepted as full papers and thus selected for oral presentation, leading to a full paper acceptance ratio of 9%. Additional papers were accepted as short papers and posters. A further selection was made after the Conference, based also on the assessment of presentation quality and audience interest, so that this book includes the extended and revised versions of the very best papers of IJCCI 2009. Commitment to high quality standards is a major concern of IJCCI that will be maintained in the next editions, considering not only the stringent paper acceptance ratios but also the quality of the program committee, keynote lectures, participation level and logistics.

Resource Management of Mobile Cloud Computing Networks and Environments

Mastorakis, George
Resource Management of Mobile Cloud Computing Networks and Environments Book PDF

Author : Mastorakis, George
Publisher : IGI Global
Page : 432 pages
File Size : 46,9 Mb
Release : 2015-03-31
Category : Computers
ISBN : 9781466682269

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Resource Management of Mobile Cloud Computing Networks and Environments by Mastorakis, George Pdf

As more and more of our data is stored remotely, accessing that data wherever and whenever it is needed is a critical concern. More concerning is managing the databanks and storage space necessary to enable cloud systems. Resource Management of Mobile Cloud Computing Networks and Environments reports on the latest advances in the development of computationally intensive and cloud-based applications. Covering a wide range of problems, solutions, and perspectives, this book is a scholarly resource for specialists and end-users alike making use of the latest cloud technologies.

Service-Oriented Computing – ICSOC 2020 Workshops

Hakim Hacid,Fatma Outay,Hye-young Paik,Amira Alloum,Marinella Petrocchi,Mohamed Reda Bouadjenek,Amin Beheshti,Xumin Liu,Abderrahmane Maaradji
Service Oriented Computing ICSOC 2020 Workshops Book PDF

Author : Hakim Hacid,Fatma Outay,Hye-young Paik,Amira Alloum,Marinella Petrocchi,Mohamed Reda Bouadjenek,Amin Beheshti,Xumin Liu,Abderrahmane Maaradji
Publisher : Springer Nature
Page : 660 pages
File Size : 48,8 Mb
Release : 2021-05-29
Category : Computers
ISBN : 9783030763527

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Service-Oriented Computing – ICSOC 2020 Workshops by Hakim Hacid,Fatma Outay,Hye-young Paik,Amira Alloum,Marinella Petrocchi,Mohamed Reda Bouadjenek,Amin Beheshti,Xumin Liu,Abderrahmane Maaradji Pdf

This book constitutes revised and selected papers from the scientific satellite events held in conjunction with the18th International Conference on Service-Oriented Computing, ICSOC 2020. The conference was held virtually during December 14-17, 2020. A total of 125 submissions were received for the satellite events. The volume includes 9 papers from the PhD Symposium Track, 4 papers from the Demonstration Track, and 45 papers from the following workshops: International Workshop on Artificial Intelligence for IT Operations (AIOps) International Workshop on Cyber Forensics and Threat Investigations Challenges in Emerging Infrastructures (CFTIC 2020) 2nd Workshop on Smart Data Integration and Processing (STRAPS 2020) International Workshop on AI-enabled Process Automation (AI-PA 2020) International Workshop on Artificial Intelligence in the IoT Security Services (AI-IOTS 2020)

Reasoning in Event-Based Distributed Systems

Sven Helmer,Alexandra Poulovassilis,Fatos Xhafa
Reasoning in Event Based Distributed Systems Book PDF

Author : Sven Helmer,Alexandra Poulovassilis,Fatos Xhafa
Publisher : Springer Science & Business Media
Page : 318 pages
File Size : 40,9 Mb
Release : 2011-06-17
Category : Computers
ISBN : 9783642197239

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Reasoning in Event-Based Distributed Systems by Sven Helmer,Alexandra Poulovassilis,Fatos Xhafa Pdf

With the rapid expansion of the Internet over the last 20 years, event-based distributed systems are playing an increasingly important role in a broad range of application domains, including enterprise management, environmental monitoring, information dissemination, finance, pervasive systems, autonomic computing, collaborative working and learning, and geo-spatial systems. Many different architectures, languages and technologies are being used for implementing event-based distributed systems, and much of the development has been undertaken independently by different communities. However, a common factor is an ever-increasing complexity. Users and developers expect that such systems are able not only to handle large volumes of simple events but also to detect complex patterns of events that may be spatially distributed and may span significant periods of time. Intelligent and logic-based approaches provide sound foundations for addressing many of the research challenges faced and this book covers a broad range of recent advances, contributed by leading experts in the field. It presents a comprehensive view of reasoning in event-based distributed systems, bringing together reviews of the state-of-the art, new research contributions, and an extensive set of references. It will serve as a valuable resource for students, faculty and researchers as well as industry practitioners responsible for new systems development.

Multimedia Analysis, Processing and Communications

Lin Weisi,Dacheng Tao,Janusz Kacprzyk,Zhu Li,Ebroul Izquierdo,Haohong Wang
Multimedia Analysis Processing and Communications Book PDF

Author : Lin Weisi,Dacheng Tao,Janusz Kacprzyk,Zhu Li,Ebroul Izquierdo,Haohong Wang
Publisher : Springer
Page : 764 pages
File Size : 53,9 Mb
Release : 2011-04-11
Category : Technology & Engineering
ISBN : 9783642195518

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Multimedia Analysis, Processing and Communications by Lin Weisi,Dacheng Tao,Janusz Kacprzyk,Zhu Li,Ebroul Izquierdo,Haohong Wang Pdf

This book has brought 24 groups of experts and active researchers around the world together in image processing and analysis, video processing and analysis, and communications related processing, to present their newest research results, exchange latest experiences and insights, and explore future directions in these important and rapidly evolving areas. It aims at increasing the synergy between academic and industry professionals working in the related field. It focuses on the state-of-the-art research in various essential areas related to emerging technologies, standards and applications on analysis, processing, computing, and communication of multimedia information. The target audience of this book is researchers and engineers as well as graduate students working in various disciplines linked to multimedia analysis, processing and communications, e.g., computer vision, pattern recognition, information technology, image processing, and artificial intelligence. The book is also meant to a broader audience including practicing professionals working in image/video applications such as image processing, video surveillance, multimedia indexing and retrieval, and so on. We hope that the researchers, engineers, students and other professionals who read this book would find it informative, useful and inspirational toward their own work in one way or another.

Geocomputation, Sustainability and Environmental Planning

Beniamino Murgante,Giuseppe Borruso,Alessandra Lapucci
Geocomputation Sustainability and Environmental Planning Book PDF

Author : Beniamino Murgante,Giuseppe Borruso,Alessandra Lapucci
Publisher : Springer Science & Business Media
Page : 272 pages
File Size : 54,9 Mb
Release : 2011-03-23
Category : Mathematics
ISBN : 9783642197321

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Geocomputation, Sustainability and Environmental Planning by Beniamino Murgante,Giuseppe Borruso,Alessandra Lapucci Pdf

The experience developed by Ian McHarg represents the first attempt to base environmental planning on more objective methods. In particular, he supposed that the real world can be considered as a layer cake and each layer represents a sectoral analysis. This metaphor represents the fundamental of overlay mapping. At the beginning, these principles have been applied only by hand, just considering the degree of darkness, produced by layer transparency, as a negative impact. In the following years, this craftmade approach, has been adopted for data organization in Geographical Information Systems producing analyses with a high level of quality and rigour. Nowadays, great part of studies in environmental planning field have been developed using GIS. The next step relative to the simple use of geographic information in supporting environmental planning is the adoption of spatial simulation models, which can predict the evolution of phenomena. As the use of spatial information has definitely improved the quality of data sets on which basing decision-making process, the use of Geostatistics, spatial simulation and, more generally, geocomputation methods allows the possibility of basing the decision-making process on predicted future scenarios. It is very strange that a discipline such as planning which programs the territory for the future years in great part of cases is not based on simulation models. Sectoral analyses, often based on surveys, are not enough to highlight dynamics of an area. Better knowing urban and environmental changes occurred in the past, it is possible to provide better simulations to predict possible tendencies. The aim of this book is to provide an overview of the main methods and techniques adopted in the field of environmental geocomputation in order to produce a more sustainable development.

Modeling Intention in Email

Vitor R. Carvalho
Modeling Intention in Email Book PDF

Author : Vitor R. Carvalho
Publisher : Springer Science & Business Media
Page : 111 pages
File Size : 46,8 Mb
Release : 2011-11-06
Category : Computers
ISBN : 9783642199554

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Modeling Intention in Email by Vitor R. Carvalho Pdf

Everyday more than half of American adult internet users read or write email messages at least once. The prevalence of email has significantly impacted the working world, functioning as a great asset on many levels, yet at times, a costly liability. In an effort to improve various aspects of work-related communication, this work applies sophisticated machine learning techniques to a large body of email data. Several effective models are proposed that can aid with the prioritization of incoming messages, help with coordination of shared tasks, improve tracking of deadlines, and prevent disastrous information leaks. Carvalho presents many data-driven techniques that can positively impact work-related email communication and offers robust models that may be successfully applied to future machine learning tasks.

Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning

Nur Zincir-Heywood,Marco Mellia,Yixin Diao
Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning Book PDF

Author : Nur Zincir-Heywood,Marco Mellia,Yixin Diao
Publisher : John Wiley & Sons
Page : 402 pages
File Size : 42,9 Mb
Release : 2021-09-03
Category : Technology & Engineering
ISBN : 9781119675518

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Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning by Nur Zincir-Heywood,Marco Mellia,Yixin Diao Pdf

COMMUNICATION NETWORKS AND SERVICE MANAGEMENT IN THE ERA OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING Discover the impact that new technologies are having on communication systems with this up-to-date and one-stop resource Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning delivers a comprehensive overview of the impact of artificial intelligence (AI) and machine learning (ML) on service and network management. Beginning with a fulsome description of ML and AI, the book moves on to discuss management models, architectures, and frameworks. The authors also explore how AI and ML can be used in service management functions like the generation of workload profiles, service provisioning, and more. The book includes a handpicked selection of applications and case studies, as well as a treatment of emerging technologies the authors predict could have a significant impact on network and service management in the future. Statistical analysis and data mining are also discussed, particularly with respect to how they allow for an improvement of the management and security of IT systems and networks. Readers will also enjoy topics like: A thorough introduction to network and service management, machine learning, and artificial intelligence An exploration of artificial intelligence and machine learning for management models, including autonomic management, policy-based management, intent based management, and network virtualization-based management Discussions of AI and ML for architectures and frameworks, including cloud systems, software defined networks, 5G and 6G networks, and Edge/Fog networks An examination of AI and ML for service management, including the automatic generation of workload profiles using unsupervised learning Perfect for information and communications technology educators, Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning will also earn a place in the libraries of engineers and professionals who seek a structured reference on how the emergence of artificial intelligence and machine learning techniques is affecting service and network management.

Technology-Enhanced Systems and Tools for Collaborative Learning Scaffolding

Thanasis Daradoumis,Santi Caballé,Angel A. Juan,Fatos Xhafa
Technology Enhanced Systems and Tools for Collaborative Learning Scaffolding Book PDF

Author : Thanasis Daradoumis,Santi Caballé,Angel A. Juan,Fatos Xhafa
Publisher : Springer
Page : 312 pages
File Size : 42,8 Mb
Release : 2011-04-01
Category : Technology & Engineering
ISBN : 9783642198144

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Technology-Enhanced Systems and Tools for Collaborative Learning Scaffolding by Thanasis Daradoumis,Santi Caballé,Angel A. Juan,Fatos Xhafa Pdf

Technology-Enhanced Systems and Tools for Collaborative Learning Scaffolding is a major research theme in CSCL and CSCW research community. This book presents up-to-date research approaches for developing technology-enhanced systems and tools to support functional online collaborative learning and work settings. It comprises a variety of research topics that span from the study of frameworks and infrastructures that foster collaborative learning and work through the application of different methods (distributed e-learning repositories, content creation and customization, social networks, collaborative ontologies building, and educational games) to the use of personalization and adaptation techniques to support the development of more powerful e-collaboration settings, including methodologies and tools for analyzing students' interactions with the aim to increase students' collaborative behaviors, performance and group organization. Researchers will find in this book the latest trends in these research topics, which gives them the opportunity to deepen further on the above issues and to extend their knowledge to other areas. Academics will find practical insights on how to use conceptual and experimental approaches in their daily tasks. Developers from CSCL community can be inspired and put in practice the proposed models and evaluate them for the specific purposes of their own work and context.

Big Data and Computational Intelligence in Networking

Yulei Wu,Fei Hu,Geyong Min,Albert Y. Zomaya
Big Data and Computational Intelligence in Networking Book PDF

Author : Yulei Wu,Fei Hu,Geyong Min,Albert Y. Zomaya
Publisher : CRC Press
Page : 539 pages
File Size : 43,7 Mb
Release : 2017-12-14
Category : Computers
ISBN : 9781351651721

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Big Data and Computational Intelligence in Networking by Yulei Wu,Fei Hu,Geyong Min,Albert Y. Zomaya Pdf

This book presents state-of-the-art solutions to the theoretical and practical challenges stemming from the leverage of big data and its computational intelligence in supporting smart network operation, management, and optimization. In particular, the technical focus covers the comprehensive understanding of network big data, efficient collection and management of network big data, distributed and scalable online analytics for network big data, and emerging applications of network big data for computational intelligence.

Complex-Valued Neural Networks with Multi-Valued Neurons

Igor Aizenberg
Complex Valued Neural Networks with Multi Valued Neurons Book PDF

Author : Igor Aizenberg
Publisher : Springer
Page : 262 pages
File Size : 55,9 Mb
Release : 2011-06-24
Category : Technology & Engineering
ISBN : 9783642203534

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Complex-Valued Neural Networks with Multi-Valued Neurons by Igor Aizenberg Pdf

Complex-Valued Neural Networks have higher functionality, learn faster and generalize better than their real-valued counterparts. This book is devoted to the Multi-Valued Neuron (MVN) and MVN-based neural networks. It contains a comprehensive observation of MVN theory, its learning, and applications. MVN is a complex-valued neuron whose inputs and output are located on the unit circle. Its activation function is a function only of argument (phase) of the weighted sum. MVN derivative-free learning is based on the error-correction rule. A single MVN can learn those input/output mappings that are non-linearly separable in the real domain. Such classical non-linearly separable problems as XOR and Parity n are the simplest that can be learned by a single MVN. Another important advantage of MVN is a proper treatment of the phase information. These properties of MVN become even more remarkable when this neuron is used as a basic one in neural networks. The Multilayer Neural Network based on Multi-Valued Neurons (MLMVN) is an MVN-based feedforward neural network. Its backpropagation learning algorithm is derivative-free and based on the error-correction rule. It does not suffer from the local minima phenomenon. MLMVN outperforms many other machine learning techniques in terms of learning speed, network complexity and generalization capability when solving both benchmark and real-world classification and prediction problems. Another interesting application of MVN is its use as a basic neuron in multi-state associative memories. The book is addressed to those readers who develop theoretical fundamentals of neural networks and use neural networks for solving various real-world problems. It should also be very suitable for Ph.D. and graduate students pursuing their degrees in computational intelligence.