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Design and implementation of task scheduling strategies for massive remote sensing data processing across multiple data centers
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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A taxonomy and survey on autonomic management of applications in grid computing environments
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Towards building a multi‐datacenter infrastructure for massive remote sensing image processing
inferredcites →https://doi.org/10.1002/cpe.710openalex-snapshot
GridSim: a toolkit for the modeling and simulation of distributed resource management and scheduling for Grid computing
inferredcites →https://doi.org/10.1006/jpdc.1997.1411openalex-snapshot
Allocating Independent Tasks to Parallel Processors: An Experimental Study
inferredcites →https://doi.org/10.1007/3-540-44444-0_20openalex-snapshot
Adaptive Scheduling for Master-Worker Applications on the Computational Grid
inferredcites →https://doi.org/10.1007/978-3-540-27866-5_33openalex-snapshot
A Scheduling Algorithm for Running Bag-of-Tasks Data Mining Applications on the Grid
inferredcites →https://doi.org/10.1007/s11227-010-0426-yopenalex-snapshot
Coordinated load management in Peer-to-Peer coupled federated grid systems
inferredcites →https://doi.org/10.1016/j.advengsoft.2011.05.007openalex-snapshot
Towards building a cloud for scientific applications
inferredcites →https://doi.org/10.1016/j.compeleceng.2011.01.004openalex-snapshot
Virtual workflow system for distributed collaborative scientific applications on Grids
inferredcites →https://doi.org/10.1016/j.future.2008.09.006openalex-snapshot
A new paradigm: Data-aware scheduling in grid computing
inferredcites →https://doi.org/10.1016/j.future.2012.09.001openalex-snapshot
G-Hadoop: MapReduce across distributed data centers for data-intensive computing
inferredcites →https://doi.org/10.1016/j.sysarc.2004.10.008openalex-snapshot
Scheduling tasks sharing files on heterogeneous master–slave platforms
inferredcites →https://doi.org/10.1109/71.780863openalex-snapshot
Hypergraph-partitioning-based decomposition for parallel sparse-matrix vector multiplication
inferredcites →https://doi.org/10.1109/71.993206openalex-snapshot
Performance-effective and low-complexity task scheduling for heterogeneous computing
inferredcites →https://doi.org/10.1109/ccgrid.2005.1558643openalex-snapshot
A hypergraph partitioning based approach for scheduling of tasks with batch-shared I/O
inferredcites →https://doi.org/10.1109/clustr.2005.347038openalex-snapshot
A Case for Cooperative and Incentive-Based Coupling of Distributed Clusters
inferredcites →https://doi.org/10.1109/clustr.2006.311875openalex-snapshot
SLA-Based Coordinated Superscheduling Scheme for Computational Grids
inferredcites →https://doi.org/10.1109/glocom.2010.5683969openalex-snapshot
Scheduling Grid Applications on Clouds
inferredcites →https://doi.org/10.1109/hcw.1999.765123openalex-snapshot
A unified resource scheduling framework for heterogeneous computing environments
inferredcites →https://doi.org/10.1109/hcw.2000.843743openalex-snapshot
Task execution time modeling for heterogeneous computing systems
inferredcites →https://doi.org/10.1109/hcw.2000.843757openalex-snapshot
Heuristics for scheduling parameter sweep applications in grid environments
inferredcites →https://doi.org/10.1109/icpads.2011.134openalex-snapshot
Task Scheduling of Massive Spatial Data Processing across Distributed Data Centers: What's New?
inferredcites →https://doi.org/10.1109/icpp.2006.30openalex-snapshot
Data Sharing Pattern Aware Scheduling on Grids
inferredcites →https://doi.org/10.1109/mcse.2011.20openalex-snapshot
Massively Parallel Neural Signal Processing on a Many-Core Platform
inferredcites →https://doi.org/10.1109/tpds.2006.105openalex-snapshot
Iterative-Improvement-Based Heuristics for Adaptive Scheduling of Tasks Sharing Files on Heterogeneous Master-Slave Environments
inferredcites →https://doi.org/10.1145/1341811.1341833openalex-snapshot
Distributed data management with PetaShare
inferredcites →https://doi.org/10.1145/1987816.1987826openalex-snapshot
An exact algorithm for energy-efficient acceleration of task trees on CPU/GPU architectures
inferredcites →https://doi.org/10.1145/24039.24041openalex-snapshot
The program dependence graph and its use in optimization
inferredcites →https://doi.org/10.1145/73141.74845openalex-snapshot
Determining average program execution times and their variance
inferredcites →https://doi.org/10.1186/1869-0238-4-1openalex-snapshot
A data infrastructure reference model with applications: towards realization of a ScienceTube vision with a data replication service
inferredcites →https://doi.org/10.1186/1869-0238-4-2openalex-snapshot
MediaWise cloud content orchestrator
inferredcites →https://doi.org/10.1504/ijahuc.2012.048261openalex-snapshot
Resource management of distributed virtual machines
inferredcites →https://doi.org/10.48550/arxiv.cs/0605057openalex-snapshot
SLA-Based Coordinated Superscheduling Scheme and Performance for Computational Grids
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Key based data analytics across data centers considering bi-level resource provision in cloud computing
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Evaluating hedge fund downside risk using a multi-objective neural network
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From Task Graphs to Concrete Actions: A New Task Mapping Algorithm for the Future Internet of Things
inferred← citeshttps://doi.org/10.1145/3584748.3584751openalex-snapshot
Research on Conceptual Model of the Remote Sensing Big Data Workflow
inferred← citeshttps://doi.org/10.1177/1687814018814955openalex-snapshot
A novel large-scale task processing approach for big data across multi-domain
inferred← citeshttps://doi.org/10.1360/n972014-00907openalex-snapshot
Processing of earth observation big data: Challenges and countermeasures
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A NOVEL REGIONAL ECOLOGICAL ASSESSMENT TECHNOLOGY BASED ON IMPROVED ELECTRE METHOD
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Virtualized Resources Scheduling in Multi-Tenant and Multi-Data Centers Based on Artificial Intelligence Algorithm: A Review
inferred← citeshttps://doi.org/10.32604/cmes.2023.024871openalex-snapshot
Remote Sensing Data Processing Process Scheduling Based on Reinforcement Learning in Cloud Environment
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Automatically Expanding User-Management System for Massive Users in the Cloud Platform
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Streaming Remote Sensing Data Processing for the Future Smart Cities
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Streaming Remote Sensing Data Processing for the Future Smart Cities
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