Maria Alejandra Rodriguez

TL;DR: An algorithm based on the meta-heuristic optimization technique, particle swarm optimization (PSO), which aims to minimize the overall workflow execution cost while meeting deadline constraints is presented.

TL;DR: The proposed manifesto addresses the major open challenges in Cloud computing by identifying themajor open challenges, emerging trends, and impact areas, and offers research directions for the next decade, thus helping in the realisation of Future Generation Cloud Computing.

TL;DR: This work identifies challenges and studies existing algorithms from the perspective of the scheduling models they adopt as well as the resource and application model they consider, and a detailed taxonomy that focuses on features particular to clouds is presented.

TL;DR: The proposed manifesto addresses the major open challenges in Cloud computing by identifying themajor open challenges, emerging trends, and impact areas, and offers research directions for the next decade, thus helping in the realisation of Future Generation Cloud Computing.

TL;DR: This is the first approach that explicitly addresses VM sharing in the context of WaaS by modeling the use of containers in the resource provisioning and scheduling heuristics and results demonstrate its responsiveness to environmental uncertainties, its ability to meet deadlines, and its cost-efficiency when compared to a state-of-the-art algorithm.