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Resource provisioning in Science Clouds: Requirements and challenges
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/cpe.1780openalex-snapshot
Cloud computing paradigms for pleasingly parallel biomedical applications
inferredcites →https://doi.org/10.1002/spe.1055openalex-snapshot
Virtualized HPC: a contradiction in terms?
inferredcites →https://doi.org/10.1002/spe.1082openalex-snapshot
Hadoop framework: impact of data organization on performance
inferredcites →https://doi.org/10.1002/spe.2112openalex-snapshot
Implementation and performance evaluation of a distributed conjugate gradient method in a cloud computing environment
inferredcites →https://doi.org/10.1002/spe.2409openalex-snapshot
Architecting cloud‐enabled systems: a systematic survey of challenges and solutions
inferredcites →https://doi.org/10.1002/spe.2418openalex-snapshot
Brain big data processing with massively parallel computing technology: challenges and opportunities
inferredcites →https://doi.org/10.1007/978-3-642-24650-0_32openalex-snapshot
SLA-Based Resource Provisioning for Heterogeneous Workloads in a Virtualized Cloud Datacenter
inferredcites →https://doi.org/10.1007/978-3-642-24650-0_34openalex-snapshot
Provisioning Spot Market Cloud Resources to Create Cost-Effective Virtual Clusters
inferredcites →https://doi.org/10.1007/s10723-012-9227-2openalex-snapshot
A Provenance-based Adaptive Scheduling Heuristic for Parallel Scientific Workflows in Clouds
inferredcites →https://doi.org/10.1007/s10723-013-9255-6openalex-snapshot
Data-Intensive Cloud Computing: Requirements, Expectations, Challenges, and Solutions
inferredcites →https://doi.org/10.1007/s10723-013-9282-3openalex-snapshot
Science in the Cloud: Allocation and Execution of Data-Intensive Scientific Workflows
inferredcites →https://doi.org/10.1016/j.cpc.2009.08.005openalex-snapshot
ROOT — A C++ framework for petabyte data storage, statistical analysis and visualization
inferredcites →https://doi.org/10.1016/j.future.2011.04.017openalex-snapshot
Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing
inferredcites →https://doi.org/10.1016/j.future.2011.05.025openalex-snapshot
Adapting scientific computing problems to clouds using MapReduce
inferredcites →https://doi.org/10.1016/j.future.2011.07.005openalex-snapshot
The Aneka platform and QoS-driven resource provisioning for elastic applications on hybrid Clouds
inferredcites →https://doi.org/10.1016/j.future.2012.05.012openalex-snapshot
VM consolidation: A real case based on OpenStack Cloud
inferredcites →https://doi.org/10.1016/j.future.2012.06.009openalex-snapshot
Performance analysis of HPC applications in the cloud
inferredcites →https://doi.org/10.1016/j.future.2013.12.024openalex-snapshot
CLOUDRB: A framework for scheduling and managing High-Performance Computing (HPC) applications in science cloud
inferredcites →https://doi.org/10.1016/j.future.2015.04.019openalex-snapshot
Taxonomies of workflow scheduling problem and techniques in the cloud
inferredcites →https://doi.org/10.1016/j.jnca.2013.10.004openalex-snapshot
Resource management for Infrastructure as a Service (IaaS) in cloud computing: A survey
inferredcites →https://doi.org/10.1016/j.jpdc.2010.05.005openalex-snapshot
An elasticity model for High Throughput Computing clusters
inferredcites →https://doi.org/10.1016/j.knosys.2015.02.012openalex-snapshot
Resource-efficient workflow scheduling in clouds
inferredcites →https://doi.org/10.1016/j.procs.2015.05.387openalex-snapshot
Towards Understanding Uncertainty in Cloud Computing Resource Provisioning
inferredcites →https://doi.org/10.1088/1742-6596/396/3/032091openalex-snapshot
Integrating PROOF Analysis in Cloud and Batch Clusters
inferredcites →https://doi.org/10.1109/aina.2012.106openalex-snapshot
Reliable Provisioning of Spot Instances for Compute-intensive Applications
inferredcites →https://doi.org/10.1109/cloud.2010.68openalex-snapshot
Maximizing Cloud Providers' Revenues via Energy Aware Allocation Policies
inferredcites →https://doi.org/10.1109/cloud.2012.103openalex-snapshot
A Performance Study on the VM Startup Time in the Cloud
inferredcites →https://doi.org/10.1109/cloudcom.2010.71openalex-snapshot
Recommendations for Virtualization Technologies in High Performance Computing
inferredcites →https://doi.org/10.1109/edocw.2014.61openalex-snapshot
Workflow Scheduling in Cloud Computing: A Survey
inferredcites →https://doi.org/10.1109/escience.2008.160openalex-snapshot
Resource Provisioning Options for Large-Scale Scientific Workflows
inferredcites →https://doi.org/10.1109/escience.2008.167openalex-snapshot
On the Use of Cloud Computing for Scientific Workflows
inferredcites →https://doi.org/10.1109/gce.2008.4738445openalex-snapshot
Cloud Computing and Grid Computing 360-Degree Compared
inferredcites →https://doi.org/10.1109/hpcc.2008.38openalex-snapshot
Scientific Cloud Computing: Early Definition and Experience
inferredcites →https://doi.org/10.1109/icpp.2013.18openalex-snapshot
On Scientific Workflow Scheduling in Clouds under Budget Constraint
inferredcites →https://doi.org/10.1109/mascots.2011.30openalex-snapshot
Cost Minimization for Provisioning Virtual Servers in Amazon Elastic Compute Cloud
inferredcites →https://doi.org/10.1109/mcse.2010.70openalex-snapshot
Scientific Computing in the Cloud
inferredcites →https://doi.org/10.1109/mic.2009.119openalex-snapshot
Virtual Infrastructure Management in Private and Hybrid Clouds
inferredcites →https://doi.org/10.1109/ocs.2011.10openalex-snapshot
Evaluation of HPC Applications on Cloud
inferredcites →https://doi.org/10.1109/tcc.2014.2314655openalex-snapshot
Deadline Based Resource Provisioningand Scheduling Algorithm for Scientific Workflows on Clouds
inferredcites →https://doi.org/10.1109/ucc.2011.25openalex-snapshot
Coasters: Uniform Resource Provisioning and Access for Clouds and Grids
inferredcites →https://doi.org/10.1109/vtdc.2006.9openalex-snapshot
Overhead Matters: A Model for Virtual Resource Management
inferredcites →https://doi.org/10.1140/epjc/s10052-013-2375-0openalex-snapshot
Phenomenology tools on cloud infrastructures using OpenStack
inferredcites →https://doi.org/10.1145/1435452.1435453openalex-snapshot
Performance implications of virtualizing multicore cluster machines
inferredcites →https://doi.org/10.1145/1723028.1723041openalex-snapshot
Resource provisioning for cloud computing
inferredcites →https://doi.org/10.1145/1734160.1734166openalex-snapshot
Scientific workflows and clouds
inferredcites →https://doi.org/10.1145/1996109.1996114openalex-snapshot
Experiences using cloud computing for a scientific workflow application
inferredcites →https://doi.org/10.1145/2378956.2378964openalex-snapshot
What we talk about when we talk about cloud network performance
inferredcites →https://doi.org/10.1145/945445.945462openalex-snapshot
Xen and the art of virtualization
inferredcites →https://doi.org/10.1186/1471-2105-11-s12-s4openalex-snapshot
Galaxy CloudMan: delivering cloud compute clusters
inferredcites →https://doi.org/10.22323/1.210.0034openalex-snapshot
Extending ATLAS Computing to Commercial Clouds and Supercomputers
inferredcites →https://doi.org/10.22323/1.239.0009openalex-snapshot
Multivariate Analysis of Variance for High Energy Physics Software in Virtualized Environments
inferredcites →https://doi.org/10.5194/gmd-8-2067-2015openalex-snapshot
Experiences with distributed computing for meteorological applications: grid computing and cloud computing
inferredcites →https://doi.org/10.6028/nist.sp.800-145openalex-snapshot
The NIST definition of cloud computing
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/spe.2627openalex-snapshot
FAHP approach for autonomic resource provisioning of multitier applications in cloud computing environments
inferred← citeshttps://doi.org/10.1002/spe.2680openalex-snapshot
A thermal‐aware VM consolidation mechanism with outage avoidance
inferred← citeshttps://doi.org/10.1002/spe.2837openalex-snapshot
Autonomic resource provisioning for multilayer cloud applications with K‐nearest neighbor resource scaling and priority‐based resource allocation
inferred← citeshttps://doi.org/10.1007/s10723-021-09587-7openalex-snapshot
Study-based Systematic Mapping Analysis of Cloud Technologies for Leveraging IT Resource and Service Management: The Case Study of the Science Gateway Approach
inferred← citeshttps://doi.org/10.1016/j.compag.2022.107457openalex-snapshot
Machine learning-based cloud computing improved wheat yield simulation in arid regions
inferred← citeshttps://doi.org/10.1016/j.future.2018.12.057openalex-snapshot
An efficient cloud scheduler design supporting preemptible instances
inferred← citeshttps://doi.org/10.1016/j.jss.2020.110522openalex-snapshot
MT-EA4Cloud: A Methodology For testing and optimising energy-aware cloud systems
inferred← citeshttps://doi.org/10.1088/1742-6596/1916/1/012207openalex-snapshot
Secured Cloud Based Health Care Framework with Blockchain
inferred← citeshttps://doi.org/10.1093/bib/bbae222openalex-snapshot
CCPA: cloud-based, self-learning modules for consensus pathway analysis using GO, KEGG and Reactome
inferred← citeshttps://doi.org/10.1093/jalm/jfab075openalex-snapshot
Rise of the Machines: Artificial Intelligence and the Clinical Laboratory
inferred← citeshttps://doi.org/10.1109/access.2020.2964386openalex-snapshot
A Cloud-Based Framework for Machine Learning Workloads and Applications
inferred← citeshttps://doi.org/10.1109/access.2021.3054559openalex-snapshot
An Energy-Aware Combinatorial Virtual Machine Allocation and Placement Model for Green Cloud Computing
inferred← citeshttps://doi.org/10.1109/access.2025.3536637openalex-snapshot
DataLab as a Service: Distributed Computing Framework for Multi-Interactive Analysis Environments
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