Software systems dealing with distributed applications in changing environments normally
require human supervision to continue operation in all conditions. These (re-) configuring …

The increasing heterogeneity, dynamism and interconnectivity in software applications,
services and networks led to complex, unmanageable and insecure systems. Co** with …

Self-adaptive systems tend to be reactive and myopic, adapting in response to changes
without anticipating what the subsequent adaptation needs will be. Adapting reactively can …

Rainbow is a framework for engineering a system with run-time, self-adaptive capabilities to
monitor, detect, decide, and act on opportunities for system improvement. We applied …

Autonomic network management is a promising approach to reduce the cost and the
complexity of managing network infrastructures. It attempts to lead the human administrator …

Despite the vast body of work on self-adaption, no systematic study has been performed on
the claims associated with self-adaptation and the evidence that exists for these claims. As …

The evolution of networks and Internet has introduced highly scalable and available
services making operational environments more complex. The increasing complexity, cost …

With the exponential growth of communication and information technologies, adaptation has
gained a significant attention as it becomes a key feature of service-based systems, allowing …

GPGPU (General-purpose computing on graphics processing units) has several difficulties
when used in cloud environment, such as narrow bandwidth, higher cost, and lower security …

Autonomic computing was the term coined by IBM in 2001. The term autonomic computing
was used to define the self-adaptable nature of the human body. According to IBM, the same …