Add to ORKGInternational audienceIn this short paper (see [4] for the extended version), we propose a general solution based on multi-objective scheduling to execute SWfs in a multisite cloud with the following main contributions: the design of a multi-objective cost model, SSVP VM provisioning approach, ActGreedy scheduling algorithm and an extensive experimental evaluation
Basic science is becoming ever more computationally intensive, increasing the need for large-scale c...
Workflow scheduling with minimum cost is one of the most challenging problems for the users who need...
This paper presents a cost optimization model for scheduling scientific workflows on IaaS clouds suc...
Clouds appear as appropriate infrastructures for executing Scientific Workflows (SWfs). A cloud is t...
International audienceClouds appear as appropriate infrastructures for executing Scientific Workflow...
International audienceThe current solutions for the parallel execution of scientific workflows are a...
Providing resources and services from multiple clouds is becoming an increasingly promising paradigm...
Scientific Workflows (SWfs) allow scientists to easily express multi-step computational activities, ...
Scientific workflows have become a prevailing means of achieving significant scientific advances at ...
International audienceLarge-scale, data-intensive scientific applications are often expressed as sci...
Distributed computing, such as cloud computing, provides promising platforms to execute multiple wor...
Les in silico expérimentations scientifiques à grande échelle contiennent généralement plusieurs act...
International audienceRecently, some Scientific Workflow Management Systems (SWfMSs) with provenance...
International audienceScientific workflows allow scientists to conduct experiments that manipulate d...
International audienceRecently, some Scientific Workflow Management Systems (SWfMSs) with provenance...
Basic science is becoming ever more computationally intensive, increasing the need for large-scale c...
Workflow scheduling with minimum cost is one of the most challenging problems for the users who need...
This paper presents a cost optimization model for scheduling scientific workflows on IaaS clouds suc...
Clouds appear as appropriate infrastructures for executing Scientific Workflows (SWfs). A cloud is t...
International audienceClouds appear as appropriate infrastructures for executing Scientific Workflow...
International audienceThe current solutions for the parallel execution of scientific workflows are a...
Providing resources and services from multiple clouds is becoming an increasingly promising paradigm...
Scientific Workflows (SWfs) allow scientists to easily express multi-step computational activities, ...
Scientific workflows have become a prevailing means of achieving significant scientific advances at ...
International audienceLarge-scale, data-intensive scientific applications are often expressed as sci...
Distributed computing, such as cloud computing, provides promising platforms to execute multiple wor...
Les in silico expérimentations scientifiques à grande échelle contiennent généralement plusieurs act...
International audienceRecently, some Scientific Workflow Management Systems (SWfMSs) with provenance...
International audienceScientific workflows allow scientists to conduct experiments that manipulate d...
International audienceRecently, some Scientific Workflow Management Systems (SWfMSs) with provenance...
Basic science is becoming ever more computationally intensive, increasing the need for large-scale c...
Workflow scheduling with minimum cost is one of the most challenging problems for the users who need...
This paper presents a cost optimization model for scheduling scientific workflows on IaaS clouds suc...