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Recent advances in Scalable Workflow Enactment Engines and Technologies
2015
Future generations computer systems
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Peter Sloot, the Editor in Chief of FGCS, for giving us the opportunity to compose this special issue, and to the Elsevier staff for their support throughout production. ...
Acknowledgments The guest editors are grateful to all the authors for their submissions and perseverance in revising the manuscripts. ...
Firstly, ''Optimizing Virtual Machine Allocation for Parallel Scientific Workflows http://dx.doi.org/10.1016/j.future.2015.01.003 0167-739X/© 2015 Published by Elsevier B.V. ...
doi:10.1016/j.future.2015.01.003
fatcat:brr6ff22ynal7arddf6dzsabva
Kepler + CometCloud: Dynamic Scientific Workflow Execution on Federated Cloud Resources
2016
Procedia Computer Science
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In this paper we propose an approach that allows users to build and run scientific workflows on top of a federation of multiple clouds and traditional resources (e.g., clusters). ...
Nowadays, cloud computing is gaining traction as an on-demand and elastic computing resource for executing scientific workflows [9] . ...
Acknowledgments:The research presented in this work is supported in part by National Science Foundation (NSF) via grants numbers ACI 1339036, ACI 1310283, ACI 1441376. ...
doi:10.1016/j.procs.2016.05.363
fatcat:ntdd7b2g4jcutihx6nvzjebdaq
Enhanced Resource Provisioning Strategies for Scientific Workflows in Cloud Environment: A Survey
2018
International Journal of Computer Applications
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The on-demand provisioning and resource availability in cloud computing make it ideal for executing scientific workflow applications. To ensure better performance, there is a need for auto-scaling. ...
This survey presents the existing auto-scaling techniques and metaheuristics approaches for VM placements of cloud workflows. ...
The IWD is a population based algorithm proposed by Shah-Hosseini in 2007 for solving combinatorial problems. The IWD algorithm mimics the dynamics of river system and the ...
doi:10.5120/ijca2018917097
fatcat:sbdiqpmbxvd6njvdg6xwyeu7iu
Developing A Web-Based Workflow Management System In Cloud Computing Platforms
2015
Zenodo
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In this paper, we aim at the development of workflow management system for cloud computing platforms based on our previous research on the dynamic allocation of the cloud computing resources and its workflow ...
In order to enable the combination of many tasks running on the cloud platform in sequence, we designed a mechanism and developed an execution engine for workflow management on clouds. ...
For example: how to build the cloud virtualization environment? Currently we adopt the Kernel-based Virtual Machine. ...
doi:10.5281/zenodo.1105713
fatcat:gz6aztyzuzdh3pp3ajdg5gapdu
Federating Advanced Cyberinfrastructures with Autonomic Capabilities
[chapter]
2014
Cloud Computing for Data-Intensive Applications
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Clouds are also rapidly joining high performance computing system, clusters and grids as viable platforms for scientific exploration and discovery. ...
In this chapter, we present a federation model to support the dynamic federation of resources and autonomic management mechanisms that coordinate multiple workflows to use resources based on objectives ...
More importantly, these results provide justification for a federated architecture where all machines can run simulations in parallel. ...
doi:10.1007/978-1-4939-1905-5_9
fatcat:eyuo5q37enaofehsubefabd7ky
Evaluating I/O aware network management for scientific workflows on networked clouds
2013
Proceedings of the Third International Workshop on Network-Aware Data Management - NDM '13
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The application was deployed on a virtualized HTCondor environment provisioned dynamically from the ExoGENI networked cloud testbed, and managed by the Pegasus workflow manager. ...
ExoGENI orchestrates a federation of independent cloud sites located around the world along with backbone circuit providers. ...
What sets ExoGENI apart from most cloud systems is its ability to allocate bandwidth-provisioned dedicated layer-2 private networks between compute resources (virtual and physical machines) residing on ...
doi:10.1145/2534695.2534698
dblp:conf/sc/MandalRBXCRD13
fatcat:b4egdprs6nb7xme4codm2k4qou
2021 Index IEEE Transactions on Parallel and Distributed Systems Vol. 32
2022
IEEE Transactions on Parallel and Distributed Systems
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Chen, L., +, TPDS Dec. 2021 3066-3080
IPPTS: An Efficient Algorithm for Scientific Workflow Scheduling in Het-
erogeneous Computing Systems. ...
., +, TPDS Feb. 2021 281-294 Recent Advances of Resource Allocation in Network Function Virtualization. ...
doi:10.1109/tpds.2021.3107121
fatcat:e7bh2xssazdrjcpgn64mqh4hb4
Optimizing Workflow Scheduling using Max-Min Algorithm in Cloud Environment
2015
International Journal of Computer Applications
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With the advent of Cloud Computing as a new model of service provisioning in distributed systems, a new direction comes in light for executing scientific applications such as Workflows by deploying resources ...
In this research paper, Max-Min algorithm is implemented for scheduling of workflow tasks that is focalized on the consideration of dependent and independent tasks and process independent tasks in parallel ...
Allocate Resources: To all these workflows, basic resources are allocated .These resources include virtual machines, broker, cloudlets and datacenters. ...
doi:10.5120/ijca2015905456
fatcat:tgp2by5zefex5bcva7q7cmssfq
Guest Editorial: Special Section on Advances of Utility and Cloud Computing Technologies and Services
2020
IEEE Transactions on Cloud Computing
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, service migration and composition, federated clouds, and trustworthy issues. ...
More specifically, main topics are multi-cloud storage services, elasticity in cloud computing, Service-Oriented Architecture, cloud data access control system, cloud pricing model, resource scheduling ...
Cost and Handling Run-Time Failures" proposes a novel workflow management framework call DoFCF (Deploy on Federated Cloud Framework) that can dynamically partition scientific workflows across federated ...
doi:10.1109/tcc.2019.2936075
fatcat:beym2rfy2zeldk22wbgpa6g7ju
2020 Index IEEE Transactions on Cloud Computing Vol. 8
2021
IEEE Transactions on Cloud Computing
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-March 2020 207-219 Statistical Model Checking-Based Evaluation and Optimization for Cloud Workflow Resource Allocation. ...
-Dec. 2020 1040-1053
Statistical Model Checking-Based Evaluation and Optimization for Cloud
Workflow Resource Allocation. ...
Frequency control Performance-Based Pricing in Multi-Core Geo-Distributed Cloud Computing. Lucanin, D., +, TCC Oct.-Dec. 2020 ...
doi:10.1109/tcc.2021.3055041
fatcat:nppinqsievad3gr42ppehwp7yi
Bi-criteria Workflow Tasks Allocation and Scheduling in Cloud Computing Environments
2012
2012 IEEE Fifth International Conference on Cloud Computing
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Although there are few efficient algorithms in the literature for scientific workflow tasks allocation and scheduling for heterogeneous resources such as those proposed in grid computing context, they ...
However, despite the proven benefits of using Cloud to run scientific workflows, users lack guidance for choosing between multiple offering while taking into account several objectives which are often ...
Resource allocation phase In this phase the selection of an "optimal" virtual machine for each task is decided. ...
doi:10.1109/cloud.2012.83
dblp:conf/IEEEcloud/BessaiYOGN12
fatcat:5rc4gjxapnhvbnhhawuhk7vu6a
Serverless Workflows for Containerised Applications in the Cloud Continuum
2021
Journal of Grid Computing
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Faces are blurred for enhanced anonymity in the on-premises Cloud and detection via Deep Learning models is performed in AWS Lambda for this data-driven containerised workflow. ...
AbstractThis paper introduces an open-source platform to support serverless computing for scientific data-processing workflow-based applications across the Cloud continuum (i.e. simultaneously involving ...
Acknowledgements The authors would like to thank the European Union for the project "Artificial Intelligence in Secure PRIvacy-preserving computing coNTinuum" (AI-SPRINT), with code 101016577, funded under ...
doi:10.1007/s10723-021-09570-2
pmid:34276264
pmcid:PMC8276028
fatcat:cytjpmirobgl7en2hugk65prgu
Evaluating storage systems for scientific data in the cloud
2014
Proceedings of the 5th ACM workshop on Scientific cloud computing - ScienceCloud '14
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Infrastructure-as-a-Service (IaaS) clouds are an appealing resource for scientific computing. ...
However, the bare-bones presentation of raw Linux virtual machines leaves much to the application developer. ...
We thank Gail Pieper for proofreading help. We thank Amazon for AWS Amazon research grant award. Some work by DSK was supported by the National Science Foundation, while working at the Foundation. ...
doi:10.1145/2608029.2608034
dblp:conf/hpdc/MaheshwariWYKRZW14
fatcat:3rtqegs4rrbdxorejqj72hb76a
Multi-Dependency and Time Based Resource Scheduling Algorithm for Scientific Applications in Cloud Computing
2021
Electronics
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Workflow scheduling is one of the significant issues for scientific applications among virtual machine migration, database management, security, performance, fault tolerance, server consolidation, etc. ...
The scientific applications, such as CyberShake, Montage, Epigenomics, Inspiral, and SIPHT, are represented in terms of the workflow. ...
A novel multi-objective workflow scheduling approach in IaaS clouds [42] is proposed to optimize the cost and workflow's makespan for real-world scientific applications. ...
doi:10.3390/electronics10111320
fatcat:g5z4xyvjnngwpalsun7aogfre4
Cloud resource management: towards efficient execution of large-scale scientific applications and workflows on complex infrastructures
2017
Journal of Cloud Computing: Advances, Systems and Applications
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One of the key enablers of this conjunction of cloud computing and scientific workflows is resource management. ...
In parallel, as science relies on the analysis of very large data sets, data management and processing must be performed in a scalable and automated way. ...
In parallel, the cloud user monitors and controls the deployment of its applications on the virtual infrastructure. ...
doi:10.1186/s13677-017-0081-4
fatcat:oy36rd3zerc2rfx7rhpdqxvkte
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