Tuesday, August 09, 2016

The 15th Workshop on Adaptive and Reflective Middleware (ARM 2016)

Call For Papers

The 15th Workshop on Adaptive and Reflective Middleware (ARM 2016) follows on the success of over a decade of previous editions exploring how reflective approaches and associated techniques can support the life-cycle of adaptive middleware platforms. Such systems must adapt and tailor their behavior and properties to increasing levels of dynamism and unprecedented scales. Adaptation and reflection mechanisms must take into account novel models of computation and new classes of applications such as networked and cloud applications, the Internet of Things and their combination. Applying reflective techniques to open-up the implementation of middleware and related software platforms for interoperability, one-to-many deployment, and adaptability proved particularly successful and influential. Reflection by itself is today considered a baseline. Its combination with other software adaptation techniques has proven beneficial to extend the reach to different layers of the software stack. Further consolidating this approach can allow delivering the flexibility demanded by today’s ever diversifying middleware environments, which require higher and higher degrees of adaptability and resilience.ARM 2016 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. This edition follows the path initiated in recent editions, by bringing 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 will provide an exciting environment in which to leverage cooperation among researchers. 


IMPORTANT DATES


  • Submission deadline: August 26, 2016
  • Notification Due:October 3, 2016
  • Final Version Due: October 17, 2016
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