Call for Chapters - Big Data and Internet of Things: A Roadmap for Smart Environments
Important dates
- 2-page Proposal Submission Extended Deadline: 22 May 2013
- Notification of Proposal Acceptance: 31 May 2013
- Full Chapter Submission: 30 August 2013
- Notification of Full Chapter Acceptance: 4 October 2013
- Revised Chaper Submission: 15 November 2013
- Final Notification of Acceptance: 29 November 2013
- Final Material Submission: 10 January 2014
A book edited by:
- Nik Bessis, University of Derby, United Kingdom
- Ciprian Dobre, University Politehnica of Bucharest, Romania
To be published in the "Studies in Computational Intelligence" book series, Springer (2014)
Introduction
Data-intensive computing is now starting to be considered as the basis for a new, fourth paradigm for science. Two factors are encouraging this trend. First, vast amounts of data are becoming available in more and more application areas. Second, the infrastructures allowing to persistently store these data for sharing and processing are becoming a reality. This allows unifying knowledge acquired through the three past paradigms for scientific research (theory, experiments and simulations) with vast amounts of multidisciplinary data. The technical and scientific issues related to this context have been designated as the "Big Data" challenges and have been identified as highly strategic by major research agencies.
Objective
This book is intended as a comprehensive presentation of on-going investigations and analysis of current challenges and advances related to Big Data management by focusing on a particular class of applications: context-aware data-intensive applications and services. A representative application category is that of Smart Environments (i.e. Smart Cities), which covers a wide range of needs related to public safety, water and energy management, smart buildings, government and agency administration, transportation, health and education. This application class is the subject of many R&D activities and a priority for several government strategic plans for the forthcoming years. Context-aware data intensive applications have specific requirements including but not limited to real-time data processing, data access patterns (frequent, periodic, ad-hoc, inter-related, location, device etc.), QoS, intelligent queries, etc.
During the last years, large storage infrastructures are continuously improve in response to increasing demands of the data intensive applications. Many works address issues related to data intensive scientific applications and Web applications in Cloud environments. Other applications with high demands for Big Data services are context-aware. Some of their requirements are similar to those of scientific and Web applications. Other needs are shared with mobile computing applications (such as battery life and limited bandwidth) and are due to the presence of mobile devices (sensors, mobile phones) in context-aware applications. The context is discussed in few works on cloud computing. For example, authors are currently interested in analyzing the dynamic request allocation and scheduling for context aware applications in geographically distributed data centers. But, to our knowledge, treating the specific issues and requirements of context-awareness for Big Data storage is practically missing in actual works.
Topics
Chapters should be written in a manner readable for both specialists and non-specialists. Chapters should be related to inter-cooperative emerging technologies towards an integrated collective intelligence approach.
Recommended topic areas include, but are not limited to:
Big Data and Internet of Things advances and challenges with impact on Cloud Computing
- Analysis of the various aspects for Big Data storage services
- Context-aware data intensive applications; Context modelling and context management
- Event-driven architectures and services
- Cloud data storage solutions for context-aware data intensive applications
Self-aware Internet of Things
- Software engineering for self-adaptive Internet of things
- Automated tools for development, deployment and supervision of IoT devices and services
- Self-matchmaking of IoT & Internet of services; Modelling environmental context and user behaviour
- Semantic IoT and self-adaptation to context; Autonomous IoT clouds. Self-provisioning of IoT services
- Control theory in IoT, and decision making mechanisms
- Event-Condition-Action rules and prediction models applied to the IoT
- Performance monitoring, diagnostics and self-healing in IoT
- Autonomic security and dependency management; Robust and trustable IoT systems
- Self-organizing network protocols and ad-hoc routing mechanisms
- Autonomic experience in IoT applications such as smart home, transport, healthcare, retailer
- Autonomicity and self-management in M2M communication systems and networks
- Modeling, measurement, and simulation of multi-networks of autonomic IoT applications, such as energy sensing and management, vehicle control, mobile devices, and emergency management
Internet of Things and the smart city vision
- Spatial, temporal, and contextual city data representation, reasoning, search, exploration, services, analysis, and optimization
- City data life cycles, including de-noising, cleansing, anonymization and privacy protection, fusion, interpretation, lifting, aggregation, and correlation; Ubiquitous and pervasive city systems
- Scalable processing of distributed, networked, dynamic, or heterogeneous city data
- Social aspects of information systems, such as citizens as sensors, urban dynamics, and citizen participation in public life and decision-making
- Innovative applications in public safety, government, commerce, transportation, among others
Foundations and Principles of Technologies for Big Data and IoT (emphasis on smart environments):
- Pervasive Computing and Computational Technologies for Big Data and IoT
- Internet of Things, Architecture, Components, RFID, NFC, Sensors and Actuator Technologies
- Inter-operability and Inter-cooperative Protocols, Standards and Technologies, Multi-agents
- Concurrency and Synchronisation, Wireless and Mobile Communications, Protocols and Standards
- Data/Text Mining, Data Clustering, Graph Partitioning, Collective Decision Making
- Multi-objective Optimisation Techniques in Dynamic Computational Environments
Advanced Modelling of Emerging e-Infrastructures for Big Data and IoT (emphasis on smart environments):
- Social Networks Analysis, Formal Concept Analysis, Temporal Analysis, Topic Maps
- Ad-Hoc Networks, RF Modelling, Object and Context Representation, Ontology Management
- Enabling Technologies; Service Architectures, Discovery, Retrieval, Scheduling, Allocation, Monitoring
- Mobility Management, Traffic Models, Process Workflow, Resource and Device Management
- Data Centres, Real-time and (Historical) Data Management, Data Growth, Storage, Implications
- Context-Aware Infrastructures and Services, Smart Objects, Positioning Location-Based Services
Advanced Applications of Big Data and IoT (emphasis on smart environments):
- Applications, Services and Business Models, Strategies, Interaction Paradigms i.e. Smart Cities
- Middleware, Languages, Components, Programs and Portals
- Performance, Scalability, Robustness, Reliability Verification, Validation, Benchmarking
- Concepts and/or Frameworks of Applicable Future Technologies, Implications and Trends
Submission Information
Academics, researchers and practitioners are invited to submit by 10 May 2013, a 2-page manuscript proposal detailing the background, motivations and structure of their proposed chapter. Authors of accepted proposals will be notified by 31 May 2013 and will be given instructions and guidelines for chapter preparation. Full chapters will be due on 30 August 2013 and should be of around 8,000 words in length and/or 25 pages long. All chapters will be reviewed on a double-blind basis. The book is to be published in the "Studies in Computational Intelligence" book series, Springer (http://www.springer.com/series/7092). This publication is anticipated to be released in 2014.
Important dates
- 2-page Proposal Submission Deadline: 10 May 2013
- Notification of Proposal Acceptance: 31 May 2013
- Full Chapter Submission: 30 August 2013
- Notification of Full Chapter Acceptance: 4 October 2013
- Revised Chaper Submission: 15 November 2013
- Final Notification of Acceptance: 29 November 2013
- Final Material Submission: 10 January 2014
