Hybrid clouds brokering: business opportunities, QoS and energy-saving issues

A Quarati, A Clematis, A Galizia… - … Modelling Practice and …, 2013‏ - Elsevier
Hybrid Clouds couple the scalability offered by public Clouds with the greater control
supplied by private ones. A (hybrid) Cloud broker acting as an intermediary between users …

Delivering cloud services with QoS requirements: Business opportunities, architectural solutions and energy-saving aspects

A Quarati, A Clematis, D D'Agostino - Future Generation Computer Systems, 2016‏ - Elsevier
The flexible and pay-as-you-go computing capabilities offered by Cloud infrastructures are
nowadays very attractive, and widely adopted by many organizations and enterprises. In …

A three-phase energy-saving strategy for cloud storage systems

S Long, Y Zhao, W Chen - Journal of Systems and Software, 2014‏ - Elsevier
In the running process of cloud data center, the idle data nodes will generate a large amount
of unnecessary energy consumption. Furthermore, the resource misallocation will also …

Formal process algebraic modeling, verification, and analysis of an abstract Fuzzy Inference Cloud Service

A Rezaee, AM Rahmani, A Movaghar… - The Journal of …, 2014‏ - Springer
In cloud computing, services play key roles. Services are well defined and autonomous
components. Nowadays, the demand of using Fuzzy inference as a service is increasing in …

Algorithms for minimizing resource consumption over multiple machines with a common due window

JY Wang - Ieee Access, 2019‏ - ieeexplore.ieee.org
Scheduling on multiple machines has attracted considerable attention recently. However,
most of traditional studies focused only on commercial cost and customer satisfaction. In fact …

DeepScheduling: grid computing job scheduler based on deep reinforcement learning

LC Casagrande, GP Koslovski, CC Miers… - … : Proceedings of the 34th …, 2020‏ - Springer
Grid systems are large-scale platforms which consume a considerable amount of energy.
Several efficient resource/power management strategies were proposed by the specialized …

Moea-based brokering for hybrid clouds

A Quarati, D D'Agostino - 2017 International Conference on …, 2017‏ - ieeexplore.ieee.org
Hybrid Clouds couple the scalability of public Clouds with the greater control supplied by
private ones. Hybrid Cloud Brokers support customers in selecting the most suitable …

Don't hurry be green: scheduling servers shutdown in grid computing with deep reinforcement learning

LC Casagrande, GP Koslovski… - … Journal of Grid …, 2022‏ - inderscienceonline.com
Grid computing platforms dissipate massive amounts of energy. Energy efficiency, therefore,
is an essential requirement that directly affects its sustainability. Resource management …

A comparative study of energy-aware scheduling algorithms for computational grids

S Teodoro, AB do Carmo, DC Adornes… - Journal of Systems and …, 2016‏ - Elsevier
Abstract Recent advances in High Performance Computing (HPC) have required the
attention of scientific community regarding aspects that do not concern only performance. In …

Improving energy-efficiency of large-scale workflows in heterogeneous systems

P **ao, Z Hao - International Journal of Computational …, 2016‏ - inderscienceonline.com
With the rapid growth of grid computing, more and more data-intensive applications have
been deployed in grid environments, which in turn increase the energy consumption in high …