An overview of the commercial cloud monitoring tools: research dimensions, design issues, and state-of-the-art
Cloud monitoring activity involves dynamically tracking the Quality of Service (QoS)
parameters related to virtualized resources (eg, VM, storage, network, appliances, etc.), the …
parameters related to virtualized resources (eg, VM, storage, network, appliances, etc.), the …
A survey of load balancing in cloud computing: Challenges and algorithms
K Al Nuaimi, N Mohamed, M Al Nuaimi… - … on network cloud …, 2012 - ieeexplore.ieee.org
Load Balancing is essential for efficient operations indistributed environments. As Cloud
Computing is growingrapidly and clients are demanding more services and betterresults …
Computing is growingrapidly and clients are demanding more services and betterresults …
Quality-of-service in cloud computing: modeling techniques and their applications
Recent years have seen the massive migration of enterprise applications to the cloud. One
of the challenges posed by cloud applications is Quality-of-Service (QoS) management …
of the challenges posed by cloud applications is Quality-of-Service (QoS) management …
G-Hadoop: MapReduce across distributed data centers for data-intensive computing
Recently, the computational requirements for large-scale data-intensive analysis of scientific
data have grown significantly. In High Energy Physics (HEP) for example, the Large Hadron …
data have grown significantly. In High Energy Physics (HEP) for example, the Large Hadron …
Decentralized decision support for intelligent manufacturing in Industry 4.0
M Marques, C Agostinho… - Journal of Ambient …, 2017 - content.iospress.com
Abstract “Industry 4.0” is recognized as the future of industrial production in which concepts
as Smart Factory and Decentralized Decision Making are fundamental. This paper proposes …
as Smart Factory and Decentralized Decision Making are fundamental. This paper proposes …
Social cloud computing: A vision for socially motivated resource sharing
Online relationships in social networks are often based on real world relationships and can
therefore be used to infer a level of trust between users. We propose leveraging these …
therefore be used to infer a level of trust between users. We propose leveraging these …
An energy-efficient dynamic resource management approach based on clustering and meta-heuristic algorithms in cloud computing IaaS platforms: Energy efficient …
M Askarizade Haghighi, M Maeen… - Wireless Personal …, 2019 - Springer
Cloud computing as an emerging technology, has revolutionized the information technology
industry by elastic on-demand provisioning and De-provisioning of computing resources …
industry by elastic on-demand provisioning and De-provisioning of computing resources …
Evaluating weighted round robin load balancing for cloud web services
Weighted round robin load balancing is a common routing policy offered in cloud load
balancers. However, there is a lack of effective mechanisms to decide the weights assigned …
balancers. However, there is a lack of effective mechanisms to decide the weights assigned …
Dual time-scale distributed capacity allocation and load redirect algorithms for cloud systems
D Ardagna, S Casolari, M Colajanni… - Journal of Parallel and …, 2012 - Elsevier
Resource management remains one of the main issues of cloud computing providers
because system resources have to be continuously allocated to handle workload …
because system resources have to be continuously allocated to handle workload …
An efficient green control algorithm in cloud computing for cost optimization
Cloud computing is a new paradigm for delivering remote computing resources through a
network. However, achieving an energy-efficiency control and simultaneously satisfying a …
network. However, achieving an energy-efficiency control and simultaneously satisfying a …