REACTION 2013
Colocated with 34th IEEE Real-Time Systems Symposium
Context and aimsThe traditional world of real-time embedded systems undergoes a continuous evolution towards more and more complex hardware and software architectures, where computing is distributed across a network of interconnected and possibly heterogeneous processing units; soft real-time co-exists with hard real-time, and high level software infrastructures and middleware play an increasingly important role in the overall picture. At the same time, the world of high-end parallel and distributed computing systems and applications, in its continuously evolving declinations in the form of High-Performance Computing, GRID Computing, Service-Oriented and recently Cloud Computing, is generally paying more and more attention to issues related to Quality of Service, predictability of the timing behavior, interactivity, and real-time performance.
Providing real-time guarantees in the distributed computing arena raises a number of challenging scientific and engineering problems that span across a variety of research areas, such as: real-time computing, parallel and distributed systems, software engineering and architectures, fault-tolerance, and virtualization. In the recent years, the efforts to integrate non-functional properties, mainly real-time behavior, in the new computing paradigms have shown out the actual complexity of the problem ahead of us, realizing also the evident need for providing reliability, security, and real-time guarantees.
REACTION aims at providing a forum for presentation and discussion of the contributions and ideas of researchers working on real-time systems and distributed systems for the next-generation applications. The goal is to bring together contributions on both practical and theoretical aspects applied to the integration of real-time support in these new computation paradigms emphasizing aspects of real-time support for flexibility and system dynamics
Scope and topicsRelevant research areas for the proposed workshop include, but are not limited to, the challenging issues in the integration of real-time support in emerging applications and increasingly important distributed computing paradigms such as CLOUD and GRID:
- Scheduling and resource management for Quality of Service support and Real-Time operation in distributed systems;
- Real-time service-oriented architectures;
- Real-time middleware;
- Real-time reconfiguration in distributed computing;
- Correct and formal design of distributed real-time systems for specific applications of CPS;
- Scalable computing models and algorithms and massively parallel real-time distributed computing;
- Adaptive real-time support in horizontally scalable cloud systems;
- Real-time and QoS support in big-data, network intensive and massively parallel services;
- Predictable end-to-end execution of distributed applications, including predictability in computing, networking and storage services;
- Operating system support and resource management for dynamic distributed real-time systems and cloud computing applications;
- Real-time assurance in virtualized distributed applications;
- QoS properties for distributed systems;
- Self-healing and survivability of distributed real-time systems;
- Optimization of the network operation and performance;
- Real-time assurance in virtualized network functions;
- End-to-end QoS support and SLA models for distributed cloud applications and services;
- Exploitation of flexible network architectures and software-defined networking for real-time and QoS guarantees;
- Energy-aware resource management and green computing.
Marisol García Valls |
Tommaso Cucinotta |