•  Networked applications that must operate under resource constraints and intermittent network connections,
• Cyber-physical systems with a tight integration among computation, physical devices and interaction with the physical world,
• Open systems with long operation lives able to accept new components, remove existing components, and adapt to new situations,
• Next generation networked interactive applications driven by the availability of devices such as smart phones and tablets,
• New degrees of high performance computing, such as the goal of exa-scale computing systems,
• On-demand Assembled Applications to meet specific needs, from various and heterogeneous components, requiring infrastructure support to that enable the assemblage of trusted (reliable, secure. . . ) systems given high-level policies with goals and constraints.

• broader range of techniques that expand current work on software componentization and design patterns in support of adaptation, examples being: software architecture; design patterns; aspect orientation; control theory;
• current strong trends towards decentralized and diverse environments, including: cloud computing, peer-to-peer platforms; network-centric systems; grid computing; sensor networks, pervasive and mobile applications, possibly backed up by cloud-like infrastructures. In essence, this implies considering domain-specific adaptation approaches (e.g., generalized fault-tolerance in peer-to-peer platforms differs from tighter cloud data center architecture);
• investigate how developing adaptive, flexible and interoperable middleware for heterogeneous execution environments requires practitioners to adopt a multi-level perspective by extending one’s focus beyond ’pure’ middleware, and encompassing the remaining system ’layers’ (e.g., devices, OSs, virtualization technology, networks, applications); Reflection and adaptability may encompass the entire execution stack.
• explore the connections with other techniques and research fields that are related to dynamic adaptation, such as autonomic computing, self-* systems, context-aware computing, and location-based services.

• 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, cloud/grid computing, P2P, Systems-of-Systems, etc.);
• Cross-layer interactions and adaptation mechanisms including network, OS, VM & device level techniques;
• Adaptation and reflection in heterogeneous execution paradigms (e.g., P2P networks, network-centric computing);
• 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: realtime, fault-tolerance, security, trust, privacy...;
• 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 techniques;
• 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 and storing knowledge about 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

•  Paulo Ferreira (chair/main contact) - INESC-ID Lisboa / Technical University of Lisbon, Portugal, paulo.ferreira@inesc-id.pt
•  Luís Veiga (chair) - INESC-ID Lisboa / Technical University of Lisbon, Portugal,  luis.veiga@inesc-id.pt

• Gordon Blair - Lancaster University, UK
• Renato Cerqueira - PUC-Rio, Brazil
• Fábio M. Costa - Federal University of Goiás, Brazil
• Geoff Coulson - Lancaster University, UK
• Fabio Kon - University of Sao Paulo, Brazil
• Nalini Venkatasubramanian - University of California at Irvine, USA

Alexandre    Sztajnberg  UERJ
Anders         Andersen    Tromso Univ.
Carolyn        Talcott        SRI  International
Didier           Donsez        Université Joseph Fourier - Grenoble 1
Edward        Curry           Digital Enterprise Research Institute, Ireland
Fabio            Kon             University of São Paulo
Francisco    Silva            Universidade Federal do Maranho
Francois      Taiani          Université de Rennes 1 / IRISA
Frank           Eliassen        University of Oslo
Gordon       Blair             Lancaster Univ.
Gul              Agha              University of Illinois at Urbana-Champaign
Ian              Wakeman     University of Sussex
Markus       Endler           Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro
Nikolaos     Georgantas  Inria
Paolo          Bellavista      DEIS - University of Bologna
Paul             Grace            University of Southampton
Philippe      Merle             INRIA
Renato       Cerqueira     Computer Science Department, PUC-Rio
Richard       Schantz         BBN Technologies
Romain       Rouvoy          University Lille 1 - Inria
Sonia           Ben Mokhtar CNRS
Thomas       Ledoux            Ecole des Mines de Nantes
Yérom-David  Bromberg    LabRI