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An efficient cloud scheduler design supporting preemptible instances

  • Published:2019-06 Issue: Volume:95 Page:68-78
  • ISSN:0167-739X
  • Container-title:Future Generation Computer Systems
  • language:en
  • Short-container-title:Future Generation Computer Systems

Author:

López García ÁlvaroORCID,Fernández del Castillo Enol,Campos Plasencia Isabel

Funder

European Commission Horizon 2020

EGI-ENGAGE

Ministry of Economy and Competitiveness

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference43 articles.

1. On the use of cloud computing for scientific workflows;Hoffa,2008

2. Performance analysis of cloud computing services for many-tasks scientific computing;Iosup;IEEE Trans. Parallel Distrib. Syst.,2011

3. Experiences using cloud computing for a scientific workflow application;Vöckler;Condor,2011

4. Resource provisioning in science clouds: Requirements and challenges;López García,2017

5. Resource provisioning options for large-scale scientific workflows;Juve,2008

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1. Digital Twin-driven Dynamic Scheduling Cloud Platform for Disassembly Workshop;Lecture Notes in Mechanical Engineering;2024

2. Ensuring Application Continuity with Fault Tolerance Techniques;High Performance Computing in Clouds;2023

3. CoSpot;Proceedings of the 13th Symposium on Cloud Computing;2022-11-07

4. A Novel Technique for Job Scheduling Algorithm in Real- Time Virtual Cloud Environment;2021 Sixth International Conference on Fog and Mobile Edge Computing (FMEC);2021-12-06

5. QoS-DPSO: QoS-aware Task Scheduling for Cloud Computing System;Journal of Network and Systems Management;2020-10-14
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