A position-aware Merkle tree for dynamic cloud data integrity verification
Sign Up to like & getrecommendations! Published in 2017 at "Soft Computing"
DOI: 10.1007/s00500-015-1918-8
Abstract: In the cloud storage framework, once clients remotely store their data on cloud storage providers, they will lose the physical control over their outsourced data. The risk of unauthorized access to the data increases dramatically.… read more here.
Keywords: aware merkle; storage; position; cloud data ... See more keywords
An alternative approach to public cloud data auditing supporting data dynamics
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DOI: 10.1007/s00500-018-3155-4
Abstract: Public cloud data auditing allows a user to delegate an auditing job to a third party who is responsible for verifying whether a cloud server has faithfully stored a file or not. Proof of retrievability… read more here.
Keywords: supporting data; data dynamics; cloud data; public cloud ... See more keywords
CECT: computationally efficient congestion-avoidance and traffic engineering in software-defined cloud data centers
Sign Up to like & getrecommendations! Published in 2018 at "Cluster Computing"
DOI: 10.1007/s10586-018-2815-6
Abstract: The proliferation of cloud data center applications and network function virtualization (NFV) boosts dynamic and QoS dependent traffic into the data centers network. Currently, lots of network routing protocols are requirement agnostic, while other QoS-aware… read more here.
Keywords: traffic; network; cloud data; congestion ... See more keywords
A meta-heuristic based multi objective optimization for load distribution in cloud data center under varying workloads
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DOI: 10.1007/s10586-020-03071-9
Abstract: Cloud computing has developed as a high-performance computing environment with a huge set of virtualized, abstracted, and flexible resource. It provides service to the user with high-performance. In a large-scale cloud computing environment, the cloud… read more here.
Keywords: cloud computing; multi objective; cloud data; cloud ... See more keywords
An energy-efficient algorithm for virtual machine placement optimization in cloud data centers
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DOI: 10.1007/s10586-020-03096-0
Abstract: Cloud providers offer computing services based on user demands using the Infrastructure as a Service (IaaS) service model. In a cloud data center, it is possible that multiple Virtual Machines (VMs) run on a Physical… read more here.
Keywords: machine; machine placement; virtual machine; cloud data ... See more keywords
A novel parallel classification network for classifying three-dimensional surface with point cloud data
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Intelligent Manufacturing"
DOI: 10.1007/s10845-021-01802-2
Abstract: Surface classification is an effective way to assess the surface quality of parts. During the last decade, the assessment of parts quality has gradually changed from simple geometries to complex three-dimensional (3D) surfaces. Traditional quality… read more here.
Keywords: classification; surface; cloud data; cloud ... See more keywords
An Energy-Efficient Strategy for Virtual Machine Allocation over Cloud Data Centers
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Network and Systems Management"
DOI: 10.1007/s10922-019-09489-w
Abstract: With the increase in the scale of cloud data centers, more attention is being focused on the issue of energy conservation. In order to achieve greener, more efficient computing in cloud data centers, in this… read more here.
Keywords: energy efficient; energy; cloud data; strategy ... See more keywords
An Efficient Scheme of Cloud Data Assured Deletion
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DOI: 10.1007/s11036-019-01497-z
Abstract: With the rapid development of cloud storage technology, cloud data assured deletion has received extensive attention. While ensuring the deletion of cloud data, users have also placed increasing demands on cloud data assured deletion, such… read more here.
Keywords: data assured; cloud data; scheme; deletion ... See more keywords
Multi-objective Virtual Machine Selection in Cloud Data Centers Using Optimized Scheduling
Sign Up to like & getrecommendations! Published in 2021 at "Wireless Personal Communications"
DOI: 10.1007/s11277-020-07807-z
Abstract: In cloud computing, more often times cloud assets are underutilized because of poor allocation of task in virtual machine (VM). There exist inconsistent factors affecting the scheduling tasks to VMs. In this paper, an effective… read more here.
Keywords: virtual machine; selection cloud; cloud data; cloud ... See more keywords
Comparison of the different mathematical methods performed in determining the size distribution of aggregates using LiDAR point cloud data and suggested algorithm
Sign Up to like & getrecommendations! Published in 2019 at "Earth Science Informatics"
DOI: 10.1007/s12145-019-00384-1
Abstract: A number of methods and machines based on these methods have been developed to determine particle size. Image analysis has been used for many years to determine the particle size distribution of materials especially relatively… read more here.
Keywords: particle size; size distribution; cloud data; size ... See more keywords
Comparison of point cloud data and 3D CAD data for on-site dimensional inspection of industrial plant piping systems
Sign Up to like & getrecommendations! Published in 2018 at "Automation in Construction"
DOI: 10.1016/j.autcon.2018.03.008
Abstract: Abstract Inspection is vital in industrial plant construction and management. However, traditional inspection methods that rely on human involvement and paper documentation are becoming untenable as modern industrial plants are becoming larger and more complex… read more here.
Keywords: plant; site dimensional; cloud data; industrial plant ... See more keywords