CloudStreamMedia: A Cloud Assistant Global Video on Demand Leasing Scheme

E-eco: Performance-aware energy-efficient cloud data center orchestration

“…This dynamicity is supported by the elasticity of the virtualization layer, which provides an optimal setting for applications while maintaining a low utilization rate most of the time, but which might quickly require a larger set of resources supporting new customer requests. This behavior is particularly observed in applications such as video streaming (Deng et al, 2013), MapReduce (Malewicz, 2011), and E-Commerce applications (Wee and Liu, 2010). Fig.…”

“…A better understanding of the overheads among the transitions of the energy saving states enables the development of more efficient strategies optimized for different computing scenarios. Our previous work (Deng et al, 2013) presents an energy-efficient strategy for HPC clusters and served as a starting point for this proposal, now focused on cloud data centers. Therefore, based on the previously performed evaluations, we propose the energy-aware transitions graph presented in Fig.…”

An optimization approach to capacity evaluation and investment decision of hybrid cloud: a corporate customer’s perspective

“…While these reactive approaches are an effective way to improve system availability, optimize costs, and reduce latency, it exhibits a mismatch between resource demands and service provisions, which could lead to under or over provisioning [23]. Hence, predictive resource scaling approaches have been proposed to overcome the limitations of the reactive approaches most often used [24][25][26].…”