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Multi-objective Scheduling of BPEL Workflows in Geographically Distributed Clouds
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1006/jpdc.1997.1392openalex-snapshot
Task Matching and Scheduling in Heterogeneous Computing Environments Using a Genetic-Algorithm-Based Approach
inferredcites →https://doi.org/10.1006/jpdc.2000.1714openalex-snapshot
A Comparison of Eleven Static Heuristics for Mapping a Class of Independent Tasks onto Heterogeneous Distributed Computing Systems
inferredcites →https://doi.org/10.1007/978-3-540-69262-1openalex-snapshot
Grid Computing : Experiment Management, Tool Integration, and Scientific Workflows
inferredcites →https://doi.org/10.1007/s10723-005-9015-3openalex-snapshot
Grid Service Orchestration Using the Business Process Execution Language (BPEL)
inferredcites →https://doi.org/10.1109/2.294850openalex-snapshot
Genetic-algorithm programming environments
inferredcites →https://doi.org/10.1109/4235.797969openalex-snapshot
Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach
inferredcites →https://doi.org/10.1109/4235.996017openalex-snapshot
A fast and elitist multiobjective genetic algorithm: NSGA-II
inferredcites →https://doi.org/10.1109/88.218176openalex-snapshot
Parallax: a tool for parallel program scheduling
inferredcites →https://doi.org/10.1109/ccgrid.2006.44openalex-snapshot
Evaluation of BPEL to Scientific Workflows
inferredcites →https://doi.org/10.1109/ccgrid.2009.14openalex-snapshot
Reliability-Oriented Genetic Algorithm for Workflow Applications Using Max-Min Strategy
inferredcites →https://doi.org/10.1109/ccgrid.2009.30openalex-snapshot
On-Demand Resource Provisioning for BPEL Workflows Using Amazon's Elastic Compute Cloud
inferredcites →https://doi.org/10.1109/ccgrid.2009.93openalex-snapshot
The Eucalyptus Open-Source Cloud-Computing System
inferredcites →https://doi.org/10.1109/cec.1999.781913openalex-snapshot
The Pareto archived evolution strategy: a new baseline algorithm for Pareto multiobjective optimisation
inferredcites →https://doi.org/10.1109/cloud.2010.40openalex-snapshot
Data Flow Driven Scheduling of BPEL Workflows Using Cloud Resources
inferredcites →https://doi.org/10.1109/gce.2008.4738445openalex-snapshot
Cloud Computing and Grid Computing 360-Degree Compared
inferredcites →https://doi.org/10.1109/grid.2007.4354110openalex-snapshot
Multi-objective planning for workflow execution on Grids
inferredcites →https://doi.org/10.1109/icppw.2009.18openalex-snapshot
Load Balancing Concurrent BPEL Processes by Dynamic Selection of Web Service Endpoints
inferredcites →https://doi.org/10.1145/1851276.1851278openalex-snapshot
Topology-aware resource allocation for data-intensive workloads
inferredcites →https://doi.org/10.1145/1925861.1925881openalex-snapshot
Topology-aware resource allocation for data-intensive workloads
inferredcites →https://doi.org/10.1145/344588.344618openalex-snapshot
Static scheduling algorithms for allocating directed task graphs to multiprocessors
inferredcites →https://doi.org/10.14778/1920841.1920902openalex-snapshot
Runtime measurements in the cloud
inferredcites →https://doi.org/10.18452/2498openalex-snapshot
Business Process Execution Language for Web services
inferredcites →https://doi.org/10.3929/ethz-a-004284029openalex-snapshot
SPEA2: Improving the strength pareto evolutionary algorithm
inferredcites →https://doi.org/10.3929/ethz-a-004288833openalex-snapshot
An evolutionary algorithm for multiobjective optimization: the strength Pareto approach
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Scaling Service-Oriented Applications into Geo-distributed Clouds
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Multi-Objective Evolutionary Search for Optimal Robotic Process Automation Architectures
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Cloud Services Orchestration: A Comparative Study of Existing Approaches
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Execution Time Estimation for Workflow Scheduling
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