RVLBPNN: A workload forecasting model for smart cloud computing
Given the increasing deployments of Cloud datacentres and the excessive usage of server
resources, their associated energy and environmental implications are also increasing at an …
resources, their associated energy and environmental implications are also increasing at an …
A GRU-based prediction framework for intelligent resource management at cloud data centres in the age of 5G
The increasing deployments of 5G mobile communication system is expected to bring more
processing power and storage supplements to Internet of Things (IoT) and mobile devices. It …
processing power and storage supplements to Internet of Things (IoT) and mobile devices. It …
Latency-based analytic approach to forecast cloud workload trend for sustainable datacenters
Cloud datacenters are turning out to be massive energy consumers and environment
polluters, which necessitate the need for promoting sustainable computing approaches for …
polluters, which necessitate the need for promoting sustainable computing approaches for …
InOt-RePCoN: Forecasting user behavioural trend in large-scale cloud environments
Cloud Computing has emerged as a low cost anywhere anytime computing paradigm. Given
the energy consumption characteristics of the Cloud resources, service providers are under …
the energy consumption characteristics of the Cloud resources, service providers are under …
An approach to optimise resource provision with energy-awareness in datacentres by combating task heterogeneity
J Panneerselvam, L Liu… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Cloud workloads are increasingly heterogeneous such that a single Cloud job may
encompass one to several tasks, and tasks belonging to the same job may behave …
encompass one to several tasks, and tasks belonging to the same job may behave …
Analysis, Modelling and Characterisation of Zombie Servers in Large-Scale Cloud Datacentres
J Panneerselvam, L Liu, J Hardy… - IEEE Access, 2017 - ieeexplore.ieee.org
Cloud datacentres are acknowledged as being massive energy consumers, which may have
significant environment impacts. Service providers have an ethical responsibility to reduce …
significant environment impacts. Service providers have an ethical responsibility to reduce …
An investigation into the impacts of task-level behavioural heterogeneity upon energy efficiency in Cloud datacentres
Cloud datacentre resources and the arriving jobs are addressed to be exhibiting increased
level of heterogeneity. A single Cloud job may encompass one to several number of tasks …
level of heterogeneity. A single Cloud job may encompass one to several number of tasks …
Characterisation of hidden periodicity in large-scale cloud datacentre environments
J Panneerselvam, L Liu… - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
Given the energy consuming characteristics of the Cloud datacentres, reducing the
associated energy implications of the datacentres has become a natural demand for the …
associated energy implications of the datacentres has become a natural demand for the …
An inter-cell resource usage analysis of large-scale datacentre trace logs
In recent years, modern cluster management systems are facing large volumes of workloads
with complex queries. Smart processing of such workloads is essential, which requires a …
with complex queries. Smart processing of such workloads is essential, which requires a …
Workload Prediction and Resource Management for Energy Efficiency in Cloud Data Centres
Y Lu - 2022 - figshare.le.ac.uk
Given the increasing deployments of Cloud datacentres and the excessive usage of server
resources, their associated energy and environmental implications are also increasing at an …
resources, their associated energy and environmental implications are also increasing at an …