DOMINOS 2019 - 2nd Workshop on Decentralized Orchestration and Management of Distributed Heterogeneous Things (DOMINOS2019)
Topics/Call fo Papers
The Internet of Things (IoT) emerges as a major architectural paradigm for achieving machine-to-machine (M2M) communication. It is estimated that by 2025 there will be more than 75 billion internetworked IoT devices.
The fundamental principle behind IoT is the concept of a “resource” (or a “thing”), that serves as an abstraction of a basic unit that interacts with its environment, and is capable of providing services, data, and control
elements to other internetworked resources. Many IoT scenarios can be characterized by lots of (small) traffic, lots of entities, strong heterogeneity in links and device capabilities, strong distribution,
and highly sensitive data. Individual nodes have limited compute resources and on-device storage (e.g., consider Raspberry Pi single board computers). Their connectivity is often constrained by factors such as the presence of NATs and firewalls, power constraints, and intermittent network access. Although we already see the benefits provided by special purpose IoT devices the true potential will only be realised when we can
use large numbers of distributed devices as part of a much larger federated service. Management paradigms that foster such a development are fog and edge computing.
Managing IoT-based systems requires enabling the orchestration of things by managing resources that provide a) a hardware interface connecting the IT world with the real world, and b) software services including gateways to Internet data sources, reasoning on IoT data, and running orchestration applications. Key management challenges involve provisioning, configuration, deployment, and management of federated Internet-scale systems.
Though being an evolution from classical management, managing IoT things is still disruptive as classical assumptions about connectivity, compute resources, or usage patterns do not hold anymore. Management patterns that are tailored for Decentralized Orchestration and Management of Distributed Heterogeneous Things are still missing. In the DOMINOS workshop, we want to address the challenges that emerge from establishing management
of the IoT top-down: coming from the application side of IoT development and management. Topics of interest include:
Scope: Fog / Edge Computing
Programming Challenges
Testbeds
Programming Models for implementing IoT Systems/ IoT Software Engineering Patterns
Code generation
Abstract Interfaces for Things
Programmability of Things
Usability of the Programming Methodologies
Evolution of traditional cluster management software for non-data center environments
Intent Policy Based Programming
System Models
Cloud Architectures
Edge and Fog Architectures
Software Defined Networking
Network Function Virtualization
Novel Topologies
Resource management
Managing Internet of things devices and gateways
Access arbitration to IoT sensors and actuators
Managing sensors
Data Management in IoT Systems
Semantic Modeling of IoT Systems
Information models/ Domain Specific Languages
Service Management
Modular Management
Autonomous Management including MAPE-K
IoT runtime environments
Service Discovery
Building Blocks
Machine Learning
Self-Adapting Systems
Intelligent Monitoring of highly heterogeneous infrastructures
Reasoning and Orchestration
Security and Privacy
Data and device security
Privacy protection methodologies.
Trust management
Validation and Verification of data and functionality
Resilience, Survivability, and Dependability
Heterogeneity of Things
Protocols (COAP, MQTT, HTTP, BACNet, …)
Technologies (wired, wireless, shared and exclusive media, …)
Convergence and Integration
Things
Platforms
IoT specific Testbeds
Ensuring reproducibility
Autoconfiguration and update
Testbed experience reports
Application Verticals
Smart industry (Industry 4.0)
Smart cities
Smart power grid
Healthcare
Smart mobility (transportation)
Focus areas
Sustainability
Safety
Security
And other aspects that are relevant to implement IoT scenarios.
Paper Registration: December 9, 2018
Paper Submission Deadline: December 15, 2018
Acceptance Notification: January 25, 2019
Camera-Ready Papers: February 8, 2019
Workshop Date: April 12, 2019
The fundamental principle behind IoT is the concept of a “resource” (or a “thing”), that serves as an abstraction of a basic unit that interacts with its environment, and is capable of providing services, data, and control
elements to other internetworked resources. Many IoT scenarios can be characterized by lots of (small) traffic, lots of entities, strong heterogeneity in links and device capabilities, strong distribution,
and highly sensitive data. Individual nodes have limited compute resources and on-device storage (e.g., consider Raspberry Pi single board computers). Their connectivity is often constrained by factors such as the presence of NATs and firewalls, power constraints, and intermittent network access. Although we already see the benefits provided by special purpose IoT devices the true potential will only be realised when we can
use large numbers of distributed devices as part of a much larger federated service. Management paradigms that foster such a development are fog and edge computing.
Managing IoT-based systems requires enabling the orchestration of things by managing resources that provide a) a hardware interface connecting the IT world with the real world, and b) software services including gateways to Internet data sources, reasoning on IoT data, and running orchestration applications. Key management challenges involve provisioning, configuration, deployment, and management of federated Internet-scale systems.
Though being an evolution from classical management, managing IoT things is still disruptive as classical assumptions about connectivity, compute resources, or usage patterns do not hold anymore. Management patterns that are tailored for Decentralized Orchestration and Management of Distributed Heterogeneous Things are still missing. In the DOMINOS workshop, we want to address the challenges that emerge from establishing management
of the IoT top-down: coming from the application side of IoT development and management. Topics of interest include:
Scope: Fog / Edge Computing
Programming Challenges
Testbeds
Programming Models for implementing IoT Systems/ IoT Software Engineering Patterns
Code generation
Abstract Interfaces for Things
Programmability of Things
Usability of the Programming Methodologies
Evolution of traditional cluster management software for non-data center environments
Intent Policy Based Programming
System Models
Cloud Architectures
Edge and Fog Architectures
Software Defined Networking
Network Function Virtualization
Novel Topologies
Resource management
Managing Internet of things devices and gateways
Access arbitration to IoT sensors and actuators
Managing sensors
Data Management in IoT Systems
Semantic Modeling of IoT Systems
Information models/ Domain Specific Languages
Service Management
Modular Management
Autonomous Management including MAPE-K
IoT runtime environments
Service Discovery
Building Blocks
Machine Learning
Self-Adapting Systems
Intelligent Monitoring of highly heterogeneous infrastructures
Reasoning and Orchestration
Security and Privacy
Data and device security
Privacy protection methodologies.
Trust management
Validation and Verification of data and functionality
Resilience, Survivability, and Dependability
Heterogeneity of Things
Protocols (COAP, MQTT, HTTP, BACNet, …)
Technologies (wired, wireless, shared and exclusive media, …)
Convergence and Integration
Things
Platforms
IoT specific Testbeds
Ensuring reproducibility
Autoconfiguration and update
Testbed experience reports
Application Verticals
Smart industry (Industry 4.0)
Smart cities
Smart power grid
Healthcare
Smart mobility (transportation)
Focus areas
Sustainability
Safety
Security
And other aspects that are relevant to implement IoT scenarios.
Paper Registration: December 9, 2018
Paper Submission Deadline: December 15, 2018
Acceptance Notification: January 25, 2019
Camera-Ready Papers: February 8, 2019
Workshop Date: April 12, 2019
Other CFPs
- Thirty-seventh International Conference on Machine Learning
- 2019 3rd International Symposium on Intelligent Unmanned Systems and Artificial Intelligence(SIUSAI 2019)
- 2019 3rd International Conference on Vision, Image and Signal Processing (ICVISP 2019)
- 2019 2nd International Symposium on Computers and Communications(ISoCC 2019)
- 2019 2nd International Conference on Bioinformatics and Neurosciences(ICoBN 2019)
Last modified: 2018-10-13 23:54:23