Policy Based Autonomic Data Governance

Author: Seraphin Calo
Editor: Springer
ISBN: 9783030172763
File Size: 55,15 MB
Format: PDF
Read: 3950
Download

Advances in artificial intelligence, sensor computing, robotics, and mobile systems are making autonomous systems a reality. At the same time, the influence of edge computing is leading to more distributed architectures incorporating more autonomous elements. The flow of information is critical in such environments, but the real time, distributed nature of the system components complicates the data protection mechanisms. Policy-based management has proven useful in simplifying the complexity of management in domains like networking, security, and storage; it is expected that many of those benefits would carry over to the task of managing big data and autonomous systems. This book aims at providing an overview of recent work and identifying challenges related to the design of policy-based approaches for managing big data and autonomous systems. An important new direction explored in the book is to make the major elements of the system self-describing and self-managing. This would lead to architectures where policy mechanisms are tightly coupled with the system elements. In such integrated architectures, we need new models for information assurance, traceability of information, and better provenance on information flows. In addition when dealing with devices with actuation capabilities and, thus, being able to make changes to physical spaces, safety is critical. With an emphasis on policy-based mechanisms for governance of data security and privacy, and for safety assurance, the papers in this volume follow three broad themes: foundational principles and use-cases for the autonomous generation of policies; safe autonomy; policies and autonomy in federated environments.

Policy Based Autonomic Data Governance

Author: Seraphin Calo
Editor: Springer
ISBN: 3030172775
File Size: 17,32 MB
Format: PDF, ePub, Docs
Read: 8513
Download

Advances in artificial intelligence, sensor computing, robotics, and mobile systems are making autonomous systems a reality. At the same time, the influence of edge computing is leading to more distributed architectures incorporating more autonomous elements. The flow of information is critical in such environments, but the real time, distributed nature of the system components complicates the data protection mechanisms. Policy-based management has proven useful in simplifying the complexity of management in domains like networking, security, and storage; it is expected that many of those benefits would carry over to the task of managing big data and autonomous systems. This book aims at providing an overview of recent work and identifying challenges related to the design of policy-based approaches for managing big data and autonomous systems. An important new direction explored in the book is to make the major elements of the system self-describing and self-managing. This would lead to architectures where policy mechanisms are tightly coupled with the system elements. In such integrated architectures, we need new models for information assurance, traceability of information, and better provenance on information flows. In addition when dealing with devices with actuation capabilities and, thus, being able to make changes to physical spaces, safety is critical. With an emphasis on policy-based mechanisms for governance of data security and privacy, and for safety assurance, the papers in this volume follow three broad themes: foundational principles and use-cases for the autonomous generation of policies; safe autonomy; policies and autonomy in federated environments.

Federated Ai For Real World Business Scenarios

Author: Dinesh C. Verma
Editor: CRC Press
ISBN: 1000462528
File Size: 18,26 MB
Format: PDF, Mobi
Read: 7519
Download

This book provides an overview of Federated Learning and how it can be used to build real-world AI-enabled applications. Real-world AI applications frequently have training data distributed in many different locations, with data at different sites having different properties and different formats. In many cases, data movement is not permitted due to security concerns, bandwidth, cost or regulatory restriction. Under these conditions, techniques of federated learning can enable creation of practical applications. Creating practical applications requires implementation of the cycle of learning from data, inferring from data, and acting based on the inference. This book will be the first one to cover all stages of the Learn-Infer-Act cycle, and presents a set of patterns to apply federation to all stages. Another distinct feature of the book is the use of real-world applications with an approach that discusses all aspects that need to be considered in an operational system, including handling of data issues during federation, maintaining compliance with enterprise security policies, and simplifying the logistics of federated AI in enterprise contexts. The book considers federation from a manner agnostic to the actual AI models, allowing the concepts to be applied to all varieties of AI models. This book is probably the first one to cover the space of enterprise AI-based applications in a holistic manner.

Advances In Knowledge Discovery And Data Mining

Author: Hady W. Lauw
Editor: Springer Nature
ISBN: 3030474364
File Size: 25,71 MB
Format: PDF, ePub, Mobi
Read: 7985
Download


Transactions On Large Scale Data And Knowledge Centered Systems Xliii

Author: Abdelkader Hameurlain
Editor: Springer Nature
ISBN: 3662621991
File Size: 79,88 MB
Format: PDF
Read: 589
Download


Autonomic Network Management Principles

Author: Nazim Agoulmine
Editor: Academic Press
ISBN: 9780123821911
File Size: 62,43 MB
Format: PDF, ePub, Mobi
Read: 3542
Download

Autonomic networking aims to solve the mounting problems created by increasingly complex networks, by enabling devices and service-providers to decide, preferably without human intervention, what to do at any given moment, and ultimately to create self-managing networks that can interface with each other, adapting their behavior to provide the best service to the end-user in all situations. This book gives both an understanding and an assessment of the principles, methods and architectures in autonomous network management, as well as lessons learned from, the ongoing initiatives in the field. It includes contributions from industry groups at Orange Labs, Motorola, Ericsson, the ANA EU Project and leading universities. These groups all provide chapters examining the international research projects to which they are contributing, such as the EU Autonomic Network Architecture Project and Ambient Networks EU Project, reviewing current developments and demonstrating how autonomic management principles are used to define new architectures, models, protocols, and mechanisms for future network equipment. Provides reviews of cutting-edge approaches to the management of complex telecommunications, sensors, etc. networks based on new autonomic approaches. This enables engineers to use new autonomic techniques to solve complex distributed problems that are not possible or easy to solve with existing techniques. Discussion of FOCALE, a semantically rich network architecture for coordinating the behavior of heterogeneous and distributed computing resources. This provides vital information, since the data model holds much of the power in an autonomic system, giving the theory behind the practice, which will enable engineers to create their own solutions to network management problems. Real case studies from the groups in industry and academia who work with this technology. These allow engineers to see how autonomic networking is implemented in a variety of scenarios, giving them a solid grounding in applications and helping them generate their own solutions to real-world problems.

Artificial Intelligence For Sustainable Development Theory Practice And Future Applications

Author: Aboul Ella Hassanien
Editor: Springer Nature
ISBN: 3030519201
File Size: 52,73 MB
Format: PDF, ePub
Read: 2800
Download

This book highlights the latest advances in the field of artificial intelligence and related technologies, with a special focus on sustainable development and environmentally friendly artificial intelligence applications. Discussing theory, applications and research, it covers all aspects of artificial intelligence in the context of sustainable development.

Responsible Ai And Analytics For An Ethical And Inclusive Digitized Society

Author: Denis Dennehy
Editor: Springer Nature
ISBN: 3030854477
File Size: 55,87 MB
Format: PDF, ePub, Docs
Read: 7361
Download


Applied Ontology Engineering In Cloud Services Networks And Management Systems

Author: J. MARTIN SERRANO
Editor: Springer Science & Business Media
ISBN: 1461422361
File Size: 68,14 MB
Format: PDF, ePub, Mobi
Read: 1964
Download

Metadata standards in today’s ICT sector are proliferating at unprecedented levels, while automated information management systems collect and process exponentially increasing quantities of data. With interoperability and knowledge exchange identified as a core challenge in the sector, this book examines the role ontology engineering can play in providing solutions to the problems of information interoperability and linked data. At the same time as introducing basic concepts of ontology engineering, the book discusses methodological approaches to formal representation of data and information models, thus facilitating information interoperability between heterogeneous, complex and distributed communication systems. In doing so, the text advocates the advantages of using ontology engineering in telecommunications systems. In addition, it offers a wealth of guidance and best-practice techniques for instances in which ontology engineering is applied in cloud services, computer networks and management systems. Engineering and computer science professionals (infrastructure architects, software developers, service designers, infrastructure operators, engineers, etc.) are today confronted as never before with the challenge of convergence in software solutions and technology. This book will help them respond creatively to what is sure to be a period of rapid development.

Autonomic And Trusted Computing

Author: Juan González Nieto
Editor: Springer
ISBN: 3642027040
File Size: 38,56 MB
Format: PDF, Docs
Read: 4683
Download

This book constitutes the refereed procedings of the 6th International Conference on Autonomic and Trusted Computing, ATC 2009, held in Brisbane, Australia, in July 2009, co-located with UIC 2009, the 6th International Conference on Ubiquitous Intelligence and Computing. The 17 revised full papers presented together with one invited paper and one keynote talk were carefully reviewed and selected from 52 submissions. The regular papers are organized in topical sections on organic and autonomic computing, trusted computing, wireless sensor networks, and trust.

Large Scale Management Of Distributed Systems

Author: Radu State
Editor: Springer Science & Business Media
ISBN: 3540476598
File Size: 48,61 MB
Format: PDF, ePub, Mobi
Read: 795
Download

th This volume presents the proceedings of the 17 IFIP/IEEE International Workshop on Distributed Systems: Operations and Management (DSOM 2006), which was held rd th in Dublin, Ireland during October 23 to 25 , 2006. In line with its reputation as one of the pre-eminent fora for the discussion and debate of advances of distributed systems management, the 2006 iteration of DSOM brought together an international audience of researchers and practitioners from both industry and academia. th DSOM 2006 was the 17 in a series of annual workshops, and it followed the footsteps of highly successful previous meetings, the most recent of which were held in Barcelona, Spain (DSOM 2005), Davis, USA (DSOM 2004), Heidelberg, Germany (DSOM 2003), Montreal, Canada (DSOM 2002) and Nancy, France (DSOM 2001). The goal of the DSOM workshops is to bring together researchers in the areas of networks, systems and services management, from both industry and academia, to discuss recent advances and foster future growth in these ?elds. In contrast to the larger management symposia, such as Integrated Management (IM) and Network Operations and Management (NOMS), the DSOM workshops are organised as sing- track programmes in order to stimulate interaction among participants. Following the excellent experiences from the previous year, DSOM was for the th

Autonomic Networking

Author: Dominique Ga∞iti
Editor: Springer Science & Business Media
ISBN: 3540458913
File Size: 29,82 MB
Format: PDF, ePub, Docs
Read: 6939
Download

This book constitutes the refereed proceedings of the First International IFIP TC6 Conference on Autonomic Networking, AN 2006, held in Paris, France in September 2006. The conference groups four past events: SMARTNET focused on tools for the autonomy; INTELLCOMM on autonomic management and services, IWAN on active networks, and WAC on autonomic communications. The 24 revised full papers presented were carefully reviewed and selected from numerous submissions for inclusion in the book. The papers are organized in topical sections on autonomic networks, self-configuration, autonomic platform and services, autonomic management and discovery policy-based management, ad hoc, sensor and ambient autonomic networks, and autonomic control of mobile networks.

Modelling Autonomic Communication Environments

Author: Rob Brennan
Editor: Springer
ISBN: 3642168361
File Size: 65,84 MB
Format: PDF, ePub, Mobi
Read: 8607
Download

Wearedelightedtopresenttheproceedingsofthe5thInternationalWorkshopon Modeling Autonomic Communication Environments (MACE 2010). This wo- shopwasheldaspartofthe6thInternationalConferenceonNetworkandService Management (CNSM 2010), formerly known as and building on the success of the MANWEEK conference series. This year we met just a hundred yards away from Niagara Falls in Canada, a very exciting location. MACE started as an experiment and over the past years has created a small yet very active community that convened again this year to discuss and ev- uate new advances, innovative ideas, and solid developments. The main focus of MACE, combining modeling with communications, is certainly a hard topic that requires a lot of discussion, thus the work presented at the workshop is - trinsically debatable and might not be as practiced as in other well-established workshops, but this was the nature of MACE from the beginning. New ideas, sometimes more,sometimes less rougharoundthe edges (and someof them even inside) are submitted and provoke extensive discussions. The ?eld in which we areworkingreliesonthesediscussions,orevenadventures,andwehavethis year again strongly motivated and supported a variety of novel work in the technical program. This year, the submissions, while being closely related to the main themes, brought some new areas into the workshop. We still see architectural design and theapplicationofautonomicprinciplestonetworksandservices,butwealsonow have submissions looking into previously unexplored areas such as Home Area Networks,multimedia streaming,virtualization,federation,anduserexperience. This portrays a maturity in the domain, which has by now gone through several cycles, and improves its outputs by applying the lessons learned.

Smart Data

Author: James A. George
Editor: John Wiley & Sons
ISBN: 9780470583043
File Size: 40,65 MB
Format: PDF, Docs
Read: 6183
Download

The authors advocate attention to smart data strategy as an organizing element of enterprise performance optimization. They believe that “smart data” as a corporate priority could revolutionize government or commercial enterprise performance much like “six sigma” or “total quality” as organizing paradigms have done in the past. This revolution has not yet taken place because data historically resides in the province of the information resources organization. Solutions that render data smart are articulated in “technoid” terms versus the language of the board room. While books such as Adaptive Information by Pollock and Hodgson ably describe the current state of the art, their necessarily technical tone is not conducive to corporate or agency wide qualitative change.

Data Governance High Impact Strategies What You Need To Know

Author: Kevin Roebuck
Editor: Tebbo
ISBN: 9781743048122
File Size: 15,15 MB
Format: PDF, ePub, Docs
Read: 9440
Download

Data governance is an emerging discipline with an evolving definition. The discipline embodies a convergence of data quality, data management, data policies, business process management, and risk management surrounding the handling of data in an organization. Through data governance, organizations are looking to exercise positive control over the processes and methods used by their data stewards and data custodians to handle data. Data governance is a set of processes that ensures that important data assets are formally managed throughout the enterprise. Data governance ensures that data can be trusted and that people can be made accountable for any adverse event that happens because of low data quality. It is about putting people in charge of fixing and preventing issues with data so that the enterprise can become more efficient. Data governance also describes an evolutionary process for a company, altering the company's way of thinking and setting up the processes to handle information so that it may be utilized by the entire organization. It's about using technology when necessary in many forms to help aid the process. When companies desire, or are required, to gain control of their data, they empower their people, set up processes and get help from technology to do it. This book is your ultimate resource for Data Governance. Here you will find the most up-to-date information, analysis, background and everything you need to know. In easy to read chapters, with extensive references and links to get you to know all there is to know about Data Governance right away, covering: Data governance, Corporate Governance of ICT, Corporate governance of information technology, AS 8015, Autonomic Networking, Chief web officer, COBIT, Information technology controls, Data custodian, Data steward, Data visualization, Governance Interoperability Framework, IBM Tivoli Unified Process (ITUP), ISO/IEC 38500, Ministry of Communications and Information Technology (Egypt), Project governance, Public ROI, Risk IT, SOA governance, TickIT, Total cost of ownership, Val IT, Web content lifecycle, Website governance This book explains in-depth the real drivers and workings of Data Governance. It reduces the risk of your technology, time and resources investment decisions by enabling you to compare your understanding of Data Governance with the objectivity of experienced professionals.

Infonomics For Distributed Business And Decision Making Environments Creating Information System Ecology

Author: Pankowska, Malgorzata
Editor: IGI Global
ISBN: 1605668915
File Size: 70,54 MB
Format: PDF, Kindle
Read: 9581
Download

Provides a greater understanding of issues, challenges, trends, and technologies effecting the overall utilization and management of information in modern organizations around the world.

Autonomic Computing In Cloud Resource Management In Industry 4 0

Author: Tanupriya Choudhury
Editor: Springer Nature
ISBN: 3030717569
File Size: 27,40 MB
Format: PDF
Read: 3117
Download

This book describes the next generation of industry—Industry 4.0—and how it holds the promise of increased flexibility in manufacturing, along with automation, better quality, and improved productivity. The authors discuss how it thus enables companies to cope with the challenges of producing increasingly individualized products with a short lead-time to market and higher quality. The authors posit that intelligent cloud services and resource sharing play an important role in Industry 4.0 anticipated Fourth Industrial Revolution. This book serves the different issues and challenges in cloud resource management CRM techniques with proper propped solution for IT organizations. The book features chapters based on the characteristics of autonomic computing with its applicability in CRM. Each chapter features the techniques and analysis of each mechanism to make better resource management in cloud.

Data Privacy Management And Autonomous Spontaneous Security

Author: Joaquin Garcia-Alfaro
Editor: Springer
ISBN: 364219348X
File Size: 65,63 MB
Format: PDF, ePub
Read: 8362
Download

This book constitutes the thoroughly refereed joint post proceedings of two international workshops, the 5th International Workshop on Data Privacy Management, DPM 2010, and the 3rd International Workshop on Autonomous and Spontaneous Security, SETOP 2010, collocated with the ESORICS 2010 symposium in Athens, Greece, in September 2010. The 9 revised full papers for DPM 2010 presented together with two keynote talks are accompanied by 7 revised full papers of SETOP 2010; all papers were carefully reviewed and selected for inclusion in the book. The DPM 2010 papers cover topics such as how to translate the high-level business goals into system-level privacy policies, administration of privacy-sensitive data, privacy data integration and engineering, privacy access control mechanisms, information-oriented security, and query execution on privacy-sensitive data for partial answers. The SETOP 2010 papers address several specific aspects of the previously cited topics, as for instance the autonomic administration of security policies, secure P2P storage, RFID authentication, anonymity in reputation systems, etc.

Data Governance

Author: Michael Johnson
Editor: Tebbo
ISBN: 9781743042038
File Size: 76,94 MB
Format: PDF, ePub, Docs
Read: 5295
Download

Data governance is an emerging discipline with an evolving definition. The discipline embodies a convergence of data quality, data management, data policies, business process management, and risk management surrounding the handling of data in an organization. Through data governance, organizations are looking to exercise positive control over the processes and methods used by their data stewards and data custodians to handle data. Data governance is a set of processes that ensures that important data assets are formally managed throughout the enterprise. Data governance ensures that data can be trusted and that people can be made accountable for any adverse event that happens because of low data quality. It is about putting people in charge of fixing and preventing issues with data so that the enterprise can become more efficient. Data governance also describes an evolutionary process for a company, altering the company's way of thinking and setting up the processes to handle information so that it may be utilized by the entire organization. It's about using technology when necessary in many forms to help aid the process. When companies desire, or are required, to gain control of their data, they empower their people, set up processes and get help from technology to do it. There are some commonly cited vendor definitions for data governance. Data governance is a quality control discipline for assessing, managing, using, improving, monitoring, maintaining, and protecting organizational information. It is a system of decision rights and accountabilities for information-related processes, executed according to agreed-upon models which describe who can take what actions with what information, and when, under what circumstances, using what methods. This book is your ultimate resource for Data Governance. Here you will find the most up-to-date information, analysis, background and everything you need to know. In easy to read chapters, with extensive references and links to get you to know all there is to know about Data Governance right away, covering: , COBIT, Information Systems Audit and Control Association, Data governance, Health Insurance Portability and Accountability Act, Information Quality Management, Information Technology Infrastructure Library, Information security management system, Corporate governance of information technology, Risk IT, Val IT, ISO/IEC 20000, ISO/IEC 27000, ACL (software company), Code audit, David Coderre, Computer Aided Audit Tools, Computer forensics, Computer fraud, Computer Fraud and Abuse Act, Continuous controls monitoring, Datacenter star audit, Enterprise risk management, History of information technology auditing, Host protected area, Information security audit, Information technology audit, Information technology audit process, Mobile device forensics, National Information Infrastructure Protection Act, SekChek Classic, SekChek Local, Statement on Auditing Standards No. 99: Consideration of Fraud, Corporate Governance of ICT, AS 8015, Autonomic Networking, Certified in the Governance of Enterprise IT, Chief web officer, Information technology controls, Data custodian, Data steward, Data visualization, Governance Interoperability Framework, IBM Tivoli Unified Process (ITUP), ISO/IEC 38500, Ministry of Communications and Information Technology (Egypt), Project governance, Public ROI, SOA Governance, TickIT, Total cost of ownership, Web content lifecycle, Website governance, Privacy...and much more This book explains in-depth the real drivers and workings of Data Governance. It reduces the risk of your technology, time and resources investment decisions by enabling you to compare your understanding of Data Governance with the objectivity of experienced IT professionals.

Home Networking

Author: Khaldoun Al Agha
Editor: Springer
ISBN: 0387772162
File Size: 29,55 MB
Format: PDF, ePub, Mobi
Read: 1279
Download

The Home Networking Conference 2007 provided an international technical forum for experts from industry and academia everywhere in the world to exchange ideas and present results of ongoing researches in home networking. The IFIP series publishes state-of-the-art results in the sciences and technologies of information and communication. Proceedings and post-proceedings of referred international conferences in computer science and interdisciplinary fields are featured.