Ron Desmarais

TL;DR: In this paper, the authors present the state-of-the-art and identify research challenges when developing, deploying and managing self-adaptive software systems, focusing on four essential topics of selfadaptation: design space for selfadaptive solutions, software engineering processes, from centralized to decentralized control, and practical run-time verification & validation.

TL;DR: The importance of systematic design is discussed and the dimensions of the self-adaptive system design space are identified, which can serve as a standard lexicon that can aid in describing and evaluating the behavior of existing and new self- Adaptive systems.

TL;DR: A virtual machine resource manager (Cloud Scheduler) for distributed compute clouds that boots and manages the user-customized virtual machines in response to a user's job submission and presents results on its use on both science and commercial clouds.

TL;DR: The usage of the throttled EWT and load balancing strategies combined with external data ranking was found to be very effective in improving efficiency and reducing the job failure rate.

TL;DR: This paper discusses how to build monitoring into Java programs from the ground up with reflection technology to detect normal and exceptional system behavior and proposes to monitor adaptive systems with autonomic elements to enhance their assessment capabilities.