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Planning Algorithm for Scientific Workflows: A Cost-Aware and Makespan Approach Based on Locust-Inspired Algorithm

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inferredcites →https://doi.org/10.1002/cpe.6484openalex-extracted
Dynamic energy efficient load balancing strategy for computational grid
inferredcites →https://doi.org/10.1002/spe.2802openalex-extracted
Deep‐Q learning‐based heterogeneous earliest finish time scheduling algorithm for scientific workflows in cloud
inferredcites →https://doi.org/10.1007/978-3-319-56982-6_5openalex-extracted
Workflow Modeling and Simulation Techniques
inferredcites →https://doi.org/10.1007/978-3-642-33030-8_8openalex-extracted
An Improved Min-Min Algorithm in Cloud Computing
inferredcites →https://doi.org/10.1007/978-981-13-0589-4_1openalex-extracted
Meta-Heuristic Techniques Study for Fault Tolerance in Cloud Computing Environment: A Survey Work
inferredcites →https://doi.org/10.1007/s10586-009-0102-2openalex-extracted
Research advances by using interoperable e-science infrastructures
inferredcites →https://doi.org/10.1007/s10586-018-2807-6openalex-extracted
A control theoretical view of cloud elasticity: taxonomy, survey and challenges
inferredcites →https://doi.org/10.1007/s10723-015-9329-8openalex-extracted
A Survey of Data-Intensive Scientific Workflow Management
inferredcites →https://doi.org/10.1007/s11063-021-10637-0openalex-extracted
Mapping and Consolidation of VMs Using Locust-Inspired Algorithms for Green Cloud Computing
inferredcites →https://doi.org/10.1007/s13369-018-3664-6openalex-extracted
Cost-Effective Algorithm for Workflow Scheduling in Cloud Computing Under Deadline Constraint
inferredcites →https://doi.org/10.1016/j.future.2012.05.004openalex-extracted
Deadline-constrained workflow scheduling algorithms for Infrastructure as a Service Clouds
inferredcites →https://doi.org/10.1016/j.future.2014.10.008openalex-extracted
Pegasus, a workflow management system for science automation
inferredcites →https://doi.org/10.1016/j.future.2020.08.036openalex-extracted
A metaheuristic method for joint task scheduling and virtual machine placement in cloud data centers
inferredcites →https://doi.org/10.1016/j.jcss.2009.11.005openalex-extracted
Scaling up workflow-based applications
inferredcites →https://doi.org/10.1016/j.jksuci.2017.10.009openalex-extracted
Cost effective deadline aware scheduling strategy for workflow applications on virtual machines in cloud computing
inferredcites →https://doi.org/10.1016/j.jnca.2013.10.004openalex-extracted
Resource management for Infrastructure as a Service (IaaS) in cloud computing: A survey
inferredcites →https://doi.org/10.1016/j.jnca.2016.01.018openalex-extracted
Towards workflow scheduling in cloud computing: A comprehensive analysis
inferredcites →https://doi.org/10.1016/j.jocs.2016.08.007openalex-extracted
GA-ETI: An enhanced genetic algorithm for the scheduling of scientific workflows in cloud environments
inferredcites →https://doi.org/10.1016/j.jss.2015.11.023openalex-extracted
Cost optimization approaches for scientific workflow scheduling in cloud and grid computing: A review, classifications, and open issues
inferredcites →https://doi.org/10.1016/j.procs.2015.02.119openalex-extracted
Customer Facilitated Cost-based Scheduling (CFCSC) in Cloud
inferredcites →https://doi.org/10.1080/09720529.2019.1576334openalex-extracted
SECURE : Efficient resource scheduling by swarm in cloud computing
inferredcites →https://doi.org/10.1088/0034-4885/72/7/076901openalex-extracted
LIGO: the Laser Interferometer Gravitational-Wave Observatory
inferredcites →https://doi.org/10.1109/access.2018.2839028openalex-extracted
LACE: A Locust-Inspired Scheduling Algorithm to Reduce Energy Consumption in Cloud Datacenters
inferredcites →https://doi.org/10.1109/ccgrid.2012.114openalex-extracted
A Multi-objective Approach for Workflow Scheduling in Heterogeneous Environments
inferredcites →https://doi.org/10.1109/escience.2012.6404430openalex-extracted
WorkflowSim: A toolkit for simulating scientific workflows in distributed environments
inferredcites →https://doi.org/10.1109/icacci.2014.6968517openalex-extracted
Study and analysis of various task scheduling algorithms in the cloud computing environment
inferredcites →https://doi.org/10.1109/icccnt.2015.7395172openalex-extracted
Dynamic combination of improved max-min and ant colony algorithm for load balancing in cloud system
inferredcites →https://doi.org/10.1109/icdcs.2018.00173openalex-extracted
MIN-Max-Min: A Heuristic Scheduling Algorithm for Jobs across Geo-Distributed Datacenters
inferredcites →https://doi.org/10.1109/icws.2007.85openalex-extracted
Enabling Runtime Adaptation ofWorkflows to External Events in Enterprise Environments
inferredcites →https://doi.org/10.1109/iscmi51676.2020.9311584openalex-extracted
Optimising Cloud Servers Utilisation Based on Locust-Inspired Algorithm
inferredcites →https://doi.org/10.1109/sc.2008.5217932openalex-extracted
The cost of doing science on the cloud: The Montage example
inferredcites →https://doi.org/10.1109/tbdata.2016.2638860openalex-extracted
Towards Max-Min Fair Resource Allocation for Stream Big Data Analytics in Shared Clouds
inferredcites →https://doi.org/10.1109/upcon.2017.8251025openalex-extracted
An improved Harmony Search algorithm with group technology model for scheduling workflows in cloud environment
inferredcites →https://doi.org/10.1111/j.1461-0248.2012.01840.xopenalex-extracted
Cannibalism can drive the evolution of behavioural phase polyphenism in locusts
inferredcites →https://doi.org/10.1145/2822332.2822336openalex-extracted
Contemporary challenges for data-intensive scientific workflow management systems
inferredcites →https://doi.org/10.1177/1094342011414743openalex-extracted
Metrics for heterogeneous scientific workflows: A case study of an earthquake science application
inferredcites →https://doi.org/10.1186/s13677-017-0085-0openalex-extracted
A novel hybrid of Shortest job first and round Robin with dynamic variable quantum time task scheduling technique
inferredcites →https://doi.org/10.1186/s13677-020-00161-2openalex-extracted
Pricing cloud IaaS computing services
inferredcites →https://doi.org/10.1186/s13677-020-00219-1openalex-extracted
Multi-objective workflow optimization strategy (MOWOS) for cloud computing
inferredcites →https://doi.org/10.13140/rg.2.2.32333.64480openalex-extracted
XSEDE Cloud Survey Report
inferredcites →https://doi.org/10.1371/journal.pcbi.1004522openalex-extracted
Locust Collective Motion and Its Modeling
inferredcites →https://doi.org/10.3390/s21217308openalex-extracted
Locust Inspired Algorithm for Cloudlet Scheduling in Cloud Computing Environments
inferredcites →https://doi.org/10.3837/tiis.2021.01.003openalex-extracted
A Fault Tolerant Data Management Scheme for Healthcare Internet of Things in Fog Computing
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