Scientific workflows management and scheduling in cloud computing: taxonomy, prospects, and challenges

Z Ahmad, AI Jehangiri, MA Ala'anzy, M Othman… - IEEE …, 2021 - ieeexplore.ieee.org
Cloud computing provides solutions to a large number of organizations in terms of hosting
systems and services. The services provided by cloud computing are broadly used for …

Characterizing and profiling scientific workflows

G Juve, A Chervenak, E Deelman, S Bharathi… - Future generation …, 2013 - Elsevier
Researchers working on the planning, scheduling, and execution of scientific workflows
need access to a wide variety of scientific workflows to evaluate the performance of their …

Characterization of scientific workflows

S Bharathi, A Chervenak, E Deelman… - 2008 third workshop …, 2008 - ieeexplore.ieee.org
Researchers working on the planning, scheduling and execution of scientific workflows
need access to a wide variety of scientific workflows to evaluate the performance of their …

[PDF][PDF] Optimized Min-Min task scheduling algorithm for scientific workflows in a cloud environment

SS Murad, R Badeel, N Salih, A Alsandi… - J. Theor. Appl. Inf …, 2022 - researchgate.net
Resource allocation and cloudlets scheduling are fundamental problems in a cloud
computing environment. The scheduled cloudlets must be executed efficiently by using the …

Scientific workflows and clouds

G Juve, E Deelman - XRDS: Crossroads, The ACM Magazine for …, 2010 - dl.acm.org
In recent years, empirical science has been evolving from physical experimentation to
computation-based research. In astronomy, researchers seldom spend time at a telescope …

An intelligent regressive ensemble approach for predicting resource usage in cloud computing

G Kaur, A Bala, I Chana - Journal of Parallel and Distributed Computing, 2019 - Elsevier
Cloud Computing has become prime infrastructure for scientists to deploy scientific
applications as it offers parallel and distributed environment for large-scale computations …

Statistical prediction of task execution times through analytic benchmarking for scheduling in a heterogeneous environment

MA Iverson, F Ozguner, LC Potter - … Computing Workshop (HCW …, 1999 - ieeexplore.ieee.org
In this paper a method for estimating task execution times is presented, in order to facilitate
dynamic scheduling in a heterogeneous metacomputing environment. Execution time is …

Focalb: Fog computing architecture of load balancing for scientific workflow applications

M Kaur, R Aron - Journal of Grid Computing, 2021 - Springer
Fog computing has a broad scope in real-time applications. It appears in the middle of
Internet of Things (IoT) users and the cloud layer. The main applications of fog computing …

An energy-efficiency Optimized LEACH-C for wireless sensor networks

S Shi, X Liu, X Gu - 7th international conference on …, 2012 - ieeexplore.ieee.org
LEACH-C is a cluster algorithm in which cluster heads are randomly selected from the
nodes with energy above the average, and the simulated annealing algorithm is utilized to …

Workflows and extensions to the Kepler scientific workflow system to support environmental sensor data access and analysis

D Barseghian, I Altintas, MB Jones, D Crawl… - Ecological …, 2010 - Elsevier
Environmental sensor networks are now commonly being deployed within environmental
observatories and as components of smaller-scale ecological and environmental …