— Reinforcement Learning (RL) provides a promising new approach to systems performance management that differs radically from standard queuing-theoretic approaches making use of ...
Gerald Tesauro, Nicholas K. Jong, Rajarshi Das, Mo...
The goal of autonomic storage allocation is to achieve allocation of storage resources, their performance monitoring, and hotspot elimination by specifying comparatively high-leve...
Murthy V. Devarakonda, David M. Chess, Ian Whalley...
— Distributed software environments are increasingly complex and difficult to manage, as they integrate various legacy software with specific management interfaces. Moreover, t...
Laurent Broto, Daniel Hagimont, Estella Annoni, Be...
Given societies’ massive investment in information technology and the potentially catastrophic consequences of IT failures, it is becoming increasingly critical to understand ho...
In this paper, we present a formal model, named PobSAM (Policy-based Self-Adaptive Model), for modeling self-adaptive systems. In this model, policies are used as a mechanism to d...
Narges Khakpour, Saeed Jalili, Carolyn L. Talcott,...