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Heterogeneous Cloud Computing: The Way Forward
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1109/cloud.2014.90openalex-snapshot
GPU Passthrough Performance: A Comparison of KVM, Xen, VMWare ESXi, and LXC for CUDA and OpenCL Applications
inferredcites →https://doi.org/10.1109/isca.2014.6853195openalex-snapshot
A reconfigurable fabric for accelerating large-scale datacenter services
inferredcites →https://doi.org/10.1145/2000064.2000108openalex-snapshot
Dark silicon and the end of multicore scaling
inferredcites →https://doi.org/10.1145/2678373.2665678openalex-snapshot
A reconfigurable fabric for accelerating large-scale datacenter services
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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A collaborative mobile edge computing and user solution for service composition in 5G systems
inferred← citeshttps://doi.org/10.1007/978-3-319-64203-1_29openalex-snapshot
Leveraging Cloud Heterogeneity for Cost-Efficient Execution of Parallel Applications
inferred← citeshttps://doi.org/10.1007/978-3-319-76038-4_1openalex-snapshot
Addressing the Complexity of HPC in the Cloud: Emergence, Self-Organisation, Self-Management, and the Separation of Concerns
inferred← citeshttps://doi.org/10.1007/978-3-319-92792-3_4openalex-snapshot
The Green Computing Continuum: The OPERA Perspective
inferred← citeshttps://doi.org/10.1016/j.comnet.2021.108151openalex-snapshot
Software-defined networks for resource allocation in cloud computing: A survey
inferred← citeshttps://doi.org/10.1016/j.cosrev.2021.100390openalex-snapshot
Energy, performance and cost efficient cloud datacentres: A survey
inferred← citeshttps://doi.org/10.1016/j.future.2017.09.020openalex-snapshot
Next generation cloud computing: New trends and research directions
inferred← citeshttps://doi.org/10.1109/ccpqt66408.2025.11382947openalex-snapshot
Convergence Innovation in Cloud Computing Unified Architectures for Multi-Chip and Multi-Computing Integration
inferred← citeshttps://doi.org/10.1109/cisis.2016.107openalex-snapshot
Workload Management for Power Efficiency in Heterogeneous Data Centers
inferred← citeshttps://doi.org/10.1109/cloud.2017.47openalex-snapshot
A Comparison of System Performance on a Private OpenStack Cloud and Amazon EC2
inferred← citeshttps://doi.org/10.1109/dsd.2016.63openalex-snapshot
OPERA: A Low Power Approach to the Next Generation Cloud Infrastructures
inferred← citeshttps://doi.org/10.1109/ficloud.2018.00011openalex-snapshot
Economic Considerations for Integrating Massively Parallel Heterogeneous Devices into the Cloud
inferred← citeshttps://doi.org/10.1109/hpcc-css-icess.2015.51openalex-snapshot
A Parallelizing Matlab Compiler Framework and Run Time for Heterogeneous Systems
inferred← citeshttps://doi.org/10.1109/igcc.2016.7892627openalex-snapshot
Energy aware software: Issues, approaches and challenges
inferred← citeshttps://doi.org/10.1109/ispa-bdcloud-sustaincom-socialcom48970.2019.00089openalex-snapshot
List Scheduling Algorithm Based on Pre-Scheduling for Heterogeneous Computing
inferred← citeshttps://doi.org/10.1109/ladc48089.2019.8995719openalex-snapshot
Optimizing Resource Availability in Composable Data Center Infrastructures
inferred← citeshttps://doi.org/10.1109/sbac-padw56527.2022.00014openalex-snapshot
Implementing the Broadcast Operation in a Distributed Task-based Runtime
inferred← citeshttps://doi.org/10.1109/tcset55632.2022.9766965openalex-snapshot
State-of-the-Art Architectures for Interoperability of Heterogeneous Clouds
inferred← citeshttps://doi.org/10.1109/tsusc.2016.2623775openalex-snapshot
Energy-Efficient Task Scheduling on Multiple Heterogeneous Computers: Algorithms, Analysis, and Performance Evaluation
inferred← citeshttps://doi.org/10.1109/tsusc.2019.2912000openalex-snapshot
Energy-Aware Self-Adaptation for Application Execution on Heterogeneous Parallel Architectures
inferred← citeshttps://doi.org/10.1145/3147234.3148103openalex-snapshot
Exploiting Price and Performance Tradeoffs in Heterogeneous Clouds
inferred← citeshttps://doi.org/10.1145/3547276.3548444openalex-snapshot
The OpenMP Cluster Programming Model
inferred← citeshttps://doi.org/10.1155/2016/4589723openalex-snapshot
Intelligence in Ecology: How Internet of Things Expands Insights into the Missing CO2Sink
inferred← citeshttps://doi.org/10.1186/s13677-024-00646-4openalex-snapshot
Analysis and prediction of virtual machine boot time on virtualized computing environments
inferred← citeshttps://doi.org/10.22214/ijraset.2020.31953openalex-snapshot
Cloud Migration with Google Cloud Storage and AWS (S3 Service)
inferred← citeshttps://doi.org/10.23919/date.2019.8714929openalex-snapshot
Chip-to-Cloud: an Autonomous and Energy Efficient Platform for Smart Vision Applications
inferred← citeshttps://doi.org/10.3923/aujcs.2017.32.43openalex-snapshot
Pricing Scheme for Heterogeneous Multiserver Cloud Computing System
inferred← citeshttps://doi.org/10.47749/t/unicamp.2022.1249913openalex-snapshot
Implementation and optimization of broadcast communication in the OmpCluster task-based runtime
inferred← citeshttps://doi.org/10.48550/arxiv.1707.07452openalex-snapshot
Next Generation Cloud Computing: New Trends and Research Directions
inferred← citeshttps://doi.org/10.5220/0005921503330338openalex-snapshot
CLOUDLIGHTNING: A Framework for a Self-organising and Self-managing Heterogeneous Cloud
inferred← citeshttps://doi.org/10.5753/sbc.13363.9.2openalex-snapshot
Getting Up and Running with the OpenMP Cluster Programming Model
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