Modelling and Simulation Environment for Self-Adaptive and Self-Aware Cloud Architectures
This addresses a gap for researchers and practitioners in cloud computing by providing a tool for simulation and testing, though it appears incremental as it builds on existing simulation environments.
The paper tackles the challenge of designing and testing self-adaptive and self-aware cloud architectures by presenting a novel modelling and simulation environment, which was experimentally validated using benchmarks and evaluation use cases.
Cloud-based software systems are increasingly becoming complex and operating in highly dynamic environments. Self-adaptivity and self-awareness have recently emerged to cope with such level of dynamicity and scalability. Meanwhile, designing and testing such systems have poven to be a challenging task, as well as research benchmarking. Despite the influx of research in both self-adaptivity and cloud computing, as well as the various simulations environments proposed so far, there is a general lack of modelling and simulation environments of self-adaptive and self-aware cloud architectures. To aid researchers and practioners in overcoming such challenges, this paper presents a novel modelling and simulation environment for self-adaptive and self-aware cloud architectures. The environment provides significant benefits for designing self-adaptive and self-aware cloud architectures, as well as testing adaptation and awareness mechanisms. The toolkit is also beneficial as a symbiotic simulator during runtime to support adaptation decisions. We experimentally validated and evaluated the implementation using benchmarks and evaluation use cases.