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Executing Bag of Distributed Tasks on the Cloud: Investigating the Trade-Offs between Performance and Cost

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.future.2011.07.003openalex-snapshot
Cloud brokering mechanisms for optimized placement of virtual machines across multiple providers
inferredcites →https://doi.org/10.1016/j.future.2012.01.007openalex-snapshot
Scheduling strategies for optimal service deployment across multiple clouds
inferredcites →https://doi.org/10.1109/cloud.2012.90openalex-snapshot
A Latency-Aware Co-deployment Mechanism for Cloud-Based Services
inferredcites →https://doi.org/10.1109/cloudcom.2010.32openalex-snapshot
Bag-of-Tasks Scheduling under Budget Constraints
inferredcites →https://doi.org/10.1109/cloudcom.2013.91openalex-snapshot
Location, Location, Location: Data-Intensive Distributed Computing in the Cloud
inferredcites →https://doi.org/10.1109/cts.2014.6867613openalex-snapshot
Nebula: Distributed edge cloud for data-intensive computing
inferredcites →https://doi.org/10.1109/hpdc.2002.1029935openalex-snapshot
Decoupling computation and data scheduling in distributed data-intensive applications
inferredcites →https://doi.org/10.1109/ic2e.2014.34openalex-snapshot
Nebula: Distributed Edge Cloud for Data Intensive Computing
inferredcites →https://doi.org/10.1109/icdcs.2012.74openalex-snapshot
Dynamic Service Placement in Geographically Distributed Clouds
inferredcites →https://doi.org/10.1109/icws.2013.73openalex-snapshot
Optimal Time-Cost Tradeoff of Parallel Service Workflow in Federated Heterogeneous Clouds
inferredcites →https://doi.org/10.1109/ipdpsw.2013.95openalex-snapshot
SAGE: Geo-Distributed Streaming Data Analysis in Clouds
inferredcites →https://doi.org/10.1109/sose.2013.56openalex-snapshot
Scaling Service-Oriented Applications into Geo-distributed Clouds
inferredcites →https://doi.org/10.1109/ucc.2013.82openalex-snapshot
On the Performance-Cost Tradeoff for Workflow Scheduling in Hybrid Clouds
inferredcites →https://doi.org/10.1145/1755913.1755940openalex-snapshot
Delay scheduling
inferredcites →https://doi.org/10.1145/956993.956995openalex-snapshot
PlanetLab

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/cpe.4249openalex-snapshot
Novel efficient particle swarm optimization algorithms for solving QoS‐demanded bag‐of‐tasks scheduling problems with profit maximization on hybrid clouds
inferred← citeshttps://doi.org/10.1016/j.future.2016.06.008openalex-snapshot
A resource provisioning framework for bioinformatics applications in multi-cloud environments
inferred← citeshttps://doi.org/10.1016/j.future.2017.02.004openalex-snapshot
Optimal allocation of virtual machines in multi-cloud environments with reserved and on-demand pricing
inferred← citeshttps://doi.org/10.1016/j.future.2017.11.038openalex-snapshot
A survey and taxonomy of resource optimisation for executing bag-of-task applications on public clouds
inferred← citeshttps://doi.org/10.1016/j.jpdc.2018.07.006openalex-snapshot
An agent-based service adaptation approach in distributed multi-tenant service-based systems
inferred← citeshttps://doi.org/10.1016/j.sysarc.2019.101654openalex-snapshot
Scheduling bag-of-tasks applications on hybrid clouds under due date constraints
inferred← citeshttps://doi.org/10.1109/access.2019.2948468openalex-snapshot
A Novel Firefly Algorithm for Scheduling Bag-of-Tasks Applications Under Budget Constraints on Hybrid Clouds
inferred← citeshttps://doi.org/10.1109/cloud.2015.131openalex-snapshot
Budget Constrained Execution of Multiple Bag-of-Tasks Applications on the Cloud
inferred← citeshttps://doi.org/10.1109/cloudcom.2016.0033openalex-snapshot
Algorithms for Optimising Heterogeneous Cloud Virtual Machine Clusters
inferred← citeshttps://doi.org/10.1109/cloudcom2018.2018.00021openalex-snapshot
Cost-Time Performance of Scaling Applications on the Cloud
inferred← citeshttps://doi.org/10.1109/escience.2016.7870881openalex-snapshot
Albatross: An efficient cloud-enabled task scheduling and execution framework using distributed message queues
inferred← citeshttps://doi.org/10.1109/icatcct44854.2018.9001935openalex-snapshot
Virtual Machine Provisioning and Resource Management Mechanisms for Dynamic Workloads
inferred← citeshttps://doi.org/10.1109/sbac-pad.2019.00033openalex-snapshot
A Bag-of-Tasks Scheduler Tolerant to Temporal Failures in Clouds
inferred← citeshttps://doi.org/10.1109/services.2015.22openalex-snapshot
Task Scheduling on the Cloud with Hard Constraints
inferred← citeshttps://doi.org/10.1145/3339186.3339205openalex-snapshot
A Hibernation Aware Dynamic Scheduler for Cloud Environments
inferred← citeshttps://doi.org/10.37917/ijeee.16.2.11openalex-snapshot
Heuristic and Meta-Heuristic Optimization Models for Task Scheduling in Cloud-Fog Systems: A Review
inferred← citeshttps://doi.org/10.48550/arxiv.1506.00590openalex-snapshot
Executing Bag of Distributed Tasks on Virtually Unlimited Cloud Resources
inferred← citeshttps://doi.org/10.5220/0005403303730380openalex-snapshot
Executing Bag of Distributed Tasks on Virtually Unlimited Cloud Resources
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