Amanote Research

Amanote Research

    RegisterSign In

Adaptive File Management for Scientific Workflows on the Azure Cloud

doi 10.1109/bigdata.2013.6691584
Full Text
Open PDF
Abstract

Available in full text

Date

October 1, 2013

Authors
Radu TudoranAlexandra CostanRamin Rezai RadGoetz BrascheGabriel Antoniu
Publisher

IEEE


Related search

Enhanced Resource Provisioning Strategies for Scientific Workflows in Cloud Environment: A Survey

International Journal of Computer Applications
2018English

Design of Energy Aware Scheduling Algorithm for Executing Scientific Workflows in Cloud

International Journal of Engineering and Advanced Technology
EngineeringComputer Science ApplicationsEnvironmental Engineering
2019English

Based on the Cordova Framework the File Browsing App Implementation and Deployed on Azure

DEStech Transactions on Computer Science and Engineering
2017English

Cloud Computing for All-To-All Protein-Protein Docking on Azure HPC

Biophysical Journal
Biophysics
2017English

On How Metadata Enables Enriched File-Based Production Workflows

2009English

Beyond Generic Lifecycles: Reusable Modeling of Custom-Fit Management Workflows for Cloud Applications

2018English

An Adaptive Framework for Utility-Based Optimization of Scientific Applications in the Cloud

Journal of Cloud Computing
Computer NetworksSoftwareCommunications
2014English

Adaptive Management of Student Scientific Research

Education and Pedagogical Sciences
2014English

Classification of Scientific Workflows Based on Reproducibility Analysis

2016English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy