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Rocketsled: a software library for optimizing high-throughput computational searches

Alexander Russell Dunn, Julien Brenneck, Anubhav Jain
2019 Journal of Physics Materials  
Here, we introduce Rocketsled v2019.2.27, an optimization framework designed to automatically deploy adaptive design workflows in high-throughput.  ...  When considered sequentially, this type of problem is amenable to adaptive design, a search strategy that updates a predictive model as more information becomes available.  ...  The adaptive strategy, also known as an optimization loop, uses a surrogate model (e.g.  ... 
doi:10.1088/2515-7639/ab0c3d fatcat:k54uzh2qrzdrzelwvjqclo7eya

Weighted-adaptive Inertia Strategy for Multi-objective Scheduling in Multi-clouds

Mazen Farid, Rohaya Latip, Masnida Hussin, Nor Asilah Wati Abdul Hamid
2022 Computers Materials & Continua  
Using standard scientific workflows with conflicting objectives, we compare our proposed multi-objective scheduling algorithm using minimum weigh optimization (MOS-MWO) with multi-objective scheduling  ...  MWO produces alternative weight to determine the inertia weight by using an adaptive strategy to provide an appropriate alternative for all optimal solutions.  ...  Thus, this paper introduces a new multi-objective scheduling minimum weight optimization (MOS-MWO) algorithm for scheduling scientific workflow in a multi-cloud environment using the MWO process.  ... 
doi:10.32604/cmc.2022.021410 fatcat:u7s2zplptfcitnwh3zcqubhpyu

DR-SWDF: A Dynamically Reconfigurable Framework for Scientific Workflows Deployment in the Cloud

Khadija Bousselmi, Zaki Brahmi, Mohamed Mohsen Gammoudi
2017 Scalable Computing : Practice and Experience  
They have to customize their management processes to insure the adaptability of the execution environment to the scientific workflows specificities, especially when dealing with large-scale (data, computing  ...  The simulations results run on three examples large-scale scientific workflows show that our proposed framework can achieve better results than the use of a generic purpose approach.  ...  Thus, we modeled the workflows scheduling problem in the Cloud as a multi-objective optimization problem using the following linear representation:    Energy : minimize w 1 P w Quality : maximize w  ... 
doi:10.12694/scpe.v18i2.1289 fatcat:mcku67bp2rdq5lw2ycftyjxuh4

Nature-inspired metaheuristic scheduling algorithms in cloud: a systematic review

S.K. Bothra, S. Singhal
2021 Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki  
Complex huge-scale scientific applications are simplified by workflow to execute in the cloud environment.  ...  Workflow scheduling using a nature-inspired metaheuristic algorithm is a recent central theme in the cloud computing paradigm.  ...  Single-Objective Heterogeneous Independent - CloudSim [30] 2020 Multi-Objective Homogeneous Workflow Scientific WorkflowSim [31] 2020 Multi-Objective Heterogeneous Workflow Scientific  ... 
doi:10.17586/2226-1494-2021-21-4-463-472 fatcat:moapy537krdmnf4a2tvdacuvb4

A Survey on QoS Requirements Based on Particle Swarm Optimization Scheduling Techniques for Workflow Scheduling in Cloud Computing

Mazen Farid, Rohaya Latip, Masnida Hussin, Nor Asilah Wati Abdul Hamid
2020 Symmetry  
In cloud computing, a workflow model is used to represent different scientific and web applications.  ...  This paper surveys scheduling algorithms based on particle swarm optimization (PSO).  ...  The corresponding search string used in the digital library engines is: "(("multi objective" OR "multi-objective") AND ("Particle Swarm Optimization" OR "PSO") AND ("Workflow Scheduling") AND ("Cloud Computing  ... 
doi:10.3390/sym12040551 fatcat:uxmk7b6a3bddhcdexjwkymdnwm

Scheduling Scientific Workflow using Multi-objective Algorithm with Fuzzy Resource Utilization in Multi-cloud Environment

Mazen Farid, Rohaya Latip, Masnida Hussin, Nor Asilah Wati Abdul Hamid
2020 IEEE Access  
INDEX TERMS Multi-objective optimization, multi-cloud environment, reliability, particle swarm optimization, workflow scheduling.  ...  In this respect, this paper proposes a new multi-objective scheduling algorithm with Fuzzy resource utilization (FR-MOS) for scheduling scientific workflow based on particle swarm optimization (PSO) method  ...  The algorithm deploys the particle swarm optimization (PSO) strategy for scheduling real-life scientific workflows in a multi-cloud environment.  ... 
doi:10.1109/access.2020.2970475 fatcat:gvbk3e3gznefditsose5hb4k5m

Resource Provisioning for Scientific Workflow Applications using Aws Cloud

2020 International Journal of Engineering and Advanced Technology  
The role of quality and service performance is crucial aspects in application execution Scientific workflow based applications are both compute and data intensive.  ...  Resource provisioning approaches varies based on the user's requirements and the metric which is used to allocated resources  ...  Scientific workflow is becoming more popular model for scientists. It helps to formalize and structure complex scientific processes. It speeds up many significant scientific discoveries.  ... 
doi:10.35940/ijeat.b4502.029320 fatcat:6635pnpdnnh7fbthn4yews53jy

Bi-Objective CSO for Big Data Scientific Workflows Scheduling in the Cloud: Case of LIGO Workflow

K. Bousselmi, S. Ben Hamida, M. Rukoz
2020 Proceedings of the 15th International Conference on Software Technologies  
The extension consists of adapting the algorithm to solve multi-objective discrete optimization problems.  ...  The performance of the proposed method is then compared to that of the multi-objective Particle Swarm Optimization (PSO) proven to be effective for scientific workflows scheduling.  ...  ., 2017) , the authors designed a multi-swarm multi-objective optimization algorithm (MSMOOA) for workflow scheduling in multi-cloud that optimizes three objectives (makespan, cost and energy consumption  ... 
doi:10.5220/0009827106150624 dblp:conf/icsoft/BousselmiHR20 fatcat:ykv4agkb4vgqbfqrucj6cuy3vq

Multi-objective optimisation in scientific workflow

Hoang Anh Nguyen, Zane van Iperen, Sreekanth Raghunath, David Abramson, Timoleon Kipouros, Sandeep Somasekharan
2017 Procedia Computer Science  
This paper first presents our latest development to incorporate multi-objective optimisation algorithms into scientific workflows.  ...  This paper first presents our latest development to incorporate multi-objective optimisation algorithms into scientific workflows.  ...  [7] added an optimizer component into Taverna workflow engine to support its multi-disciplinary optimisation use case. This optimizer is, however, specific to structural optimisation.  ... 
doi:10.1016/j.procs.2017.05.213 fatcat:cv7s67bdsneyrk3efopogsagny

Multi-Scalar Modelling for Free-form Timber Structures

Paul Poinet, Paul Nicholas, Martin Tamke, Mette Thomsen Ramsgaard
2016 Zenodo  
integrative digital workflow during the geometrical discretization of spatial structures.  ...  A particular focus lies in the segmentation strategy of glue-laminated timber structures that depend on structural requirements and the different types of constraints related to fabrication, transportation  ...  Structural Optimizations If the abstract network relies on a master surface, it is possible to perform multi-objective optimization algorithms allowing the alignment of structural lattices along the principal  ... 
doi:10.5281/zenodo.2611218 fatcat:bwvqktuzujd3pgwhhuthzsi5wa

A Hybrid Algorithm for Multi-Objective Scientific Workflow Scheduling in IaaS Cloud

Yongqiang Gao, Shuyun Zhang, Jiantao Zhou
2019 IEEE Access  
INDEX TERMS Cloud computing, multi-objective optimization, workflow schedule.  ...  In this paper, we propose a new approach for multi-objective workflow scheduling in IaaS clouds offering a limited amount of instances and a flexible combination of instance types, and present a hybrid  ...  The scenario is modeled as a multiobjective optimization problem which aims to optimize the workflow makespan and cost simultaneously and is solved using the hybrid multi-objective optimization algorithm  ... 
doi:10.1109/access.2019.2939294 fatcat:3gnpo6vudbflbpipsxxruwxlfu

Multi-objective planning for workflow execution on Grids

Jia Yu, Michael Kirley, Rajkumar Buyya
2007 2007 8th IEEE/ACM International Conference on Grid Computing  
These optimization objectives may be in conflict. In this paper, we have proposed a workflow execution planning approach using multi-objective evolutionary algorithms (MOEAs).  ...  When optimizing workflow execution on utility Grids, we need to consider multiple Quality of Service (QoS) parameters including service prices and execution time.  ...  MULTI-OBJECTIVE OPTIMIZATION We formalized the workflow planning problem as a multiobjective optimization problem [19] in which a group of conflicting objectives are simultaneously optimized.  ... 
doi:10.1109/grid.2007.4354110 dblp:conf/grid/YuKB07 fatcat:3xmoopkhnvfwzlkn5q7miqxgpi

Simplified Resource Provisioning for Workflows in IaaS Clouds

Amelie Chi Zhou, Bingsheng He
2014 2014 IEEE 6th International Conference on Cloud Computing Technology and Science  
The experimental results demonstrate the effectiveness of our system on monetary cost optimizations and its capability to solve a wide class of optimization problems for scientific workflows.  ...  To address those issues, we propose a flexible and effective optimization system to simplify the resource provisioning for scientific workflows in IaaS clouds.  ...  We have seen many applications with different workflow structures and optimization objectives in the cloud [4] .  ... 
doi:10.1109/cloudcom.2014.129 dblp:conf/cloudcom/ZhouH14 fatcat:ai42uqx4a5hgbkf35pytf5f5qa

Multi-objective Optimization of Clustering-based Scheduling for Multi-workflow On Clouds Considering Fairness [article]

Feng Li, Wen Jun, Tan and Wentong, Cai
2022 arXiv   pre-print
There is a limited research on multi-objective optimization for multi-workflow scheduling.  ...  To address such issues, this paper first defines a new multi-objective optimization model based on makespan, cost, and fairness, and then proposes a global clustering-based multi-workflow scheduling strategy  ...  Multi-objective optimization algorithms are used to obtain balanced values between makespan and cost.  ... 
arXiv:2205.11173v1 fatcat:4b5agshtsfa3th7ug44ebibs74

A Hybrid Metaheuristic for Multi-Objective Scientific Workflow Scheduling in a Cloud Environment

Nazia Anwar, Huifang Deng
2018 Applied Sciences  
SOS is a simply structured, powerful, easy to use, and robust algorithm for solving global optimization problems.  ...  for Multi-objective Optimization (HBMMO).  ...  Algorithm 1 . 1 Hybrid Bio-inspired Metaheuristic for Multi-objective Optimization (HBMMO) for Scientific Workflow Scheduling in the Cloud.  ... 
doi:10.3390/app8040538 fatcat:e7lhwfh32ze35evzwh4loclmse
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