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Automatic cloud instance provisioning with quality and efficiency
(2021)
A distinctive feature of cloud computing is that it enables customers to dynamically summon server instances. Service providers facing uncertain demand patterns may exploit this feature by setting automatic provisioning ...
Dynamic Scheduling based on Particle Swarm Optimization for Cloud-based Scientific Experiments
(Centro Latinoamericano de Estudios en Informática, 2014)
Managing Qos Constraints In A P2p-cloud Video On Demand System
(IEEENew York, 2016)
Implementação de tolerância a falhas em simuladores de nuvem
(Universidade Estadual Paulista (Unesp), 2022-01-11)
Cloud computing has conquer great prominence over the years and it has become increasin gly indispensable for many people, even those who do not actively work on creating cloud systems. A major challenge when creating a ...
Study of collision probability considering a non-uniform cloud of space debris
(2019-01-01)
The present paper aims to study the cumulative collision probability of a target that crosses a cloud of particles that has the orbital parameters of each individual element modified by a close approach with the Earth. ...
Modeling and simulation framework for quality estimation of web applications through architecture evaluation
(Springer, 2020-02-10)
The explosive growth of the cloud computing industry in recent years has paying attention to problems related to software services quality. Given that quality models serve as frameworks for quality evaluation, this paper ...
ACO-based dynamic job scheduling of parametric computational mechanics studies on Cloud Computing infrastructures
(IOS Press, 2013)
Parameter Sweep Experiments (PSEs) allow scientists to perform simulations by running the same code with different input data, which typically results in many CPU-intensive jobs and thus computing environments such as ...
Balancing throughput and response time in online scientific Clouds via Ant Colony Optimization (SP2013/2013/00006)
(Elsevier, 2015-06)
The Cloud Computing paradigm focuses on the provisioning of reliable and scalable infrastructures (Clouds) delivering execution and storage services. The paradigm, with its promise of virtually infinite resources, seems ...
An NSGA-III-Based Multi-objective Intelligent Autoscaler for Executing Engineering Applications in Cloud Infrastructures
(Springer, 2020)
Parameter Sweep Experiments (PSEs) are commonplace to perform computer modelling and simulation at large in the context of industrial, engineering and scientific applications. PSEs require numerous computational resources ...
A Bat Bio-inspired Mechanism for Resource Allocation in Vehicular Clouds
(2021-01-01)
The growth of vehicles in cities brings significant socioeconomic problems and new challenges. With that growth, the amount of information generated by vehicles and their devices also increments and can improve the network ...