18th Workshop on Adaptive and Reflexive Middleware
December 9-13th, 2019, UC Davis, California, USA
Held in conjunction with ACM/IFIP/Usenix Middleware 2019
The Adaptive and Reflective Middleware (ARM) workshop series started together with the ACM/IFIP/USENIX International Middleware Conference, with which it has been co-located every year since this first edition. ARM aims at providing researchers with a leading edge view on the state of the art in reflective and adaptive middleware, and on the challenging problems that remain unsolved. Past editions of the workshop have brought together experts involved in designing and reusing adaptive systems at different system layers, including architectural, OS, virtualization technology, and network layers, as well as in using techniques that are complementary to reflection. The workshop series also seek to provide an exciting environment in which to leverage cooperation among researchers.
Abstract submission: August 21, 2019
Paper submissoin: August 28, 2019
Acceptance notification: October 3, 2019
Camera-ready: October 17, 2019
Workshop: December 9, 2019
Topics of interest include, but are not limited to:
- Design and performance of adaptive and/or reflective middleware platforms
- Experiences with adaptive and reflective technologies in specific domains (e.g., sensor networks, ubiquitous/pervasive computing, mobile computing, smart and connected communities, Internet of Things, cloud/grid computing, P2P, Systems-of-Systems)
- Cross-layer interactions and adaptation mechanisms, including network, OS, VM & device level techniques
- Adaptation and reflection in the presence of heterogeneous execution and programming paradigms
- Application of adaptive and reflective middleware techniques to achieve: reconfigurability and/or adaptability and/or separation of concerns; reuse; and reification of adaptation techniques and strategies
- Incorporating non-functional properties into middleware, including real-time, fault- tolerance, immutability, persistence, security, trust, privacy and so on
- Fundamental developments in the theory and practice of reflection, adaptation and control, as it relates to middleware and its interaction with other layers
- Techniques to improve performance and/or scalability of adaptive and reflective mechanisms
- Evaluation methodologies for adaptive and reflective middleware; guidelines, testbeds and benchmarks
- Approaches to maintain the integrity of adaptive and reflective technologies; convergence of adaptation
- Tool support for adaptive and reflective middleware
- Design and programming abstractions to manage the complexity of adaptive and reflective mechanisms
- Software engineering methodologies for the design and development of adaptive middleware
- Methods for reasoning, storing and dynamically updating knowledge about the services provided by adaptive/reflective middleware
- The role of techniques such as learning in the design of long-lived adaptive middleware
- Methods for asynchronous, distributed, control, coordination/cooperation among components providing middleware services
- Metrics on properties such as cost-of-adaptation, quality-of-adaptation, consistency-of- adaptation, yields
All submissions should be made electronically through: https://arm2019.hotcrp.com
Submitted and accepted papers should be no longer than 6 pages in the standard ACM format for conference proceedings.
At least one author on each accepted paper must hold a full pre-conference registration. Papers will be available in the ACM Digital Library.
We will aim to create better outreach for the papers in ARM by selecting the best papers from the workshop and inviting the authors of those papers to submit an extended and expanded manuscript (40% new material will be required for the extended manuscript) towards a publication in the SpringerNature Journal of Internet Services and Applications (pending).
- Paul Grace, Aston University, UK
- Mohan Kumar, Rochester Institute of Technology, USA
- Marco Netto, IBM Research, Brazil
- Gordon Blair, Lancaster Univ., UK.
- Fabio M Costa, Federal Univ of Goias, Brazil.
- Fabio Kon, Univ. of Sao Paulo, Brazil.
- Renato Cerqueira, IBM Research, Brazil.
- Paulo Ferreira, INESC-ID, Portugal.
- Nalini Venkatasubramanian, Univ. of California, Irvine, USA.
- Francois Taiani, University of Rennes 1, France
- Francoise Sailhan, CNAM, Paris, France
- Frank Eliassen, University of Oslo, Norway
- Gang Huang, Peking University, China
- Jan S. Rellermeyer, TU Delft, The Netherlands
- Kyoungho An, RTI Inc, USA
- Luis Veiga, Universidade de Lisboa /INESC-ID, Portugal
- Nikolaos Georgantas, INRIA, France
- Philippe Merle, INRIA, France
- Thomas Ledoux, IMT Atlantique, France
- Tobias Distler, FAU, Germany
- Yusuf Sarwar, Univ. of MIssouri, Kansas CIty, USA