OP-MLB: an online VM prediction-based multi-objective load balancing framework for resource management at cloud data center
The elasticity of cloud resources allows cloud clients to expand and shrink their demand for
resources dynamically over time. However, fluctuations in the resource demands and pre …
resources dynamically over time. However, fluctuations in the resource demands and pre …
A metaheuristic method for joint task scheduling and virtual machine placement in cloud data centers
D Alboaneen, H Tianfield, Y Zhang… - Future Generation …, 2021 - Elsevier
The virtual machine (VM) allocation problem is one of the main issues in cloud data centers.
This article proposes a new metaheuristic method to optimize joint task scheduling and VM …
This article proposes a new metaheuristic method to optimize joint task scheduling and VM …
Performance anomaly detection and bottleneck identification
O Ibidunmoye, F Hernández-Rodriguez… - ACM Computing Surveys …, 2015 - dl.acm.org
In order to meet stringent performance requirements, system administrators must effectively
detect undesirable performance behaviours, identify potential root causes, and take …
detect undesirable performance behaviours, identify potential root causes, and take …
Resource scheduling for infrastructure as a service (IaaS) in cloud computing: Challenges and opportunities
SHH Madni, MS Abd Latiff, Y Coulibaly - Journal of Network and …, 2016 - Elsevier
Resource scheduling assigns the precise and accurate task to CPU, network, and storage.
The aim behind this is the extreme usage of resources. However, well organized scheduling …
The aim behind this is the extreme usage of resources. However, well organized scheduling …
Resource management in cloud and cloud-influenced technologies for internet of things applications
R Jeyaraj, A Balasubramaniam, AK MA… - ACM Computing …, 2023 - dl.acm.org
The trend of adopting Internet of Things (IoT) in healthcare, smart cities, Industry 4.0, and so
on is increasing by means of cloud computing, which provides on-demand storage and …
on is increasing by means of cloud computing, which provides on-demand storage and …
Task scheduling, resource provisioning, and load balancing on scientific workflows using parallel SARSA reinforcement learning agents and genetic algorithm
Cloud computing is one of the most popular distributed environments, in which, multiple
powerful and heterogeneous resources are used by different user applications. Task …
powerful and heterogeneous resources are used by different user applications. Task …
Software-defined networks for resource allocation in cloud computing: A survey
Cloud computing has a shared set of resources, including physical servers, networks,
storage, and user applications. Resource allocation is a critical issue for cloud computing …
storage, and user applications. Resource allocation is a critical issue for cloud computing …
Recent advancements in resource allocation techniques for cloud computing environment: a systematic review
There are two actors in cloud computing environment cloud providers and cloud users. On
one hand cloud providers hold enormous computing resources in the cloud large data …
one hand cloud providers hold enormous computing resources in the cloud large data …
Resource management in cloud computing: Taxonomy, prospects, and challenges
Cloud computing has emerged as a popular computing paradigm for hosting large
computing systems and services. Recently, significant research is carried out on Resource …
computing systems and services. Recently, significant research is carried out on Resource …
Optimizing resource allocation for virtualized network functions in a cloud center using genetic algorithms
W Rankothge, F Le, A Russo… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
With the introduction of network function virtualization technology, migrating entire enterprise
data centers into the cloud has become a possibility. However, for a cloud service provider …
data centers into the cloud has become a possibility. However, for a cloud service provider …