An analytical review and performance measures of state-of-art scheduling algorithms in heterogenous computing enviornment

W Ahmad, G Gautam, B Alam, BS Bhati - Archives of Computational …, 2024 - Springer
Task scheduling and resource utilization have always been among the most critical issues
for high performance in heterogeneous computing. The heterogeneity of computation costs …

Modified firefly algorithm for workflow scheduling in cloud-edge environment

N Bacanin, M Zivkovic, T Bezdan… - Neural computing and …, 2022 - Springer
Edge computing is a novel technology, which is closely related to the concept of Internet of
Things. This technology brings computing resources closer to the location where they are …

[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 …

List scheduling algorithm for heterogeneous systems by an optimistic cost table

H Arabnejad, JG Barbosa - IEEE transactions on parallel and …, 2013 - ieeexplore.ieee.org
Efficient application scheduling algorithms are important for obtaining high performance in
heterogeneous computing systems. In this paper, we present a novel list-based scheduling …

A GSA based hybrid algorithm for bi-objective workflow scheduling in cloud computing

A Choudhary, I Gupta, V Singh, PK Jana - Future Generation Computer …, 2018 - Elsevier
Workflow Scheduling in cloud computing has drawn enormous attention due to its wide
application in both scientific and business areas. This is particularly an NP-complete …

A novel directional and non-local-convergent particle swarm optimization based workflow scheduling in cloud–edge environment

Y **e, Y Zhu, Y Wang, Y Cheng, R Xu, AS Sani… - Future Generation …, 2019 - Elsevier
With the increasing popularity of Internet of Things (IoT), edge computing has become the
key driving force to provide computing resources, storage and network services closer to the …

Workflow scheduling in serverless edge computing for the industrial internet of things: A learning approach

R **e, D Gu, Q Tang, T Huang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Serverless edge computing is seen as a promising enabler to execute differentiated
Industrial Internet of Things (IIoT) applications without managing the underlying servers and …

Task scheduling based on deep reinforcement learning in a cloud manufacturing environment

T Dong, F Xue, C **ao, J Li - Concurrency and Computation …, 2020 - Wiley Online Library
Cloud manufacturing promotes the transformation of intelligence for the traditional
manufacturing mode. In a cloud manufacturing environment, the task scheduling plays an …

Reliability-aware multi-objective memetic algorithm for workflow scheduling problem in multi-cloud system

S Qin, D Pi, Z Shao, Y Xu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the development of cloud computing, multi-cloud systems have become common
platforms for hosting and executing workflow applications in recent years. However, the …

Mining valence, arousal, and dominance: possibilities for detecting burnout and productivity?

M Mäntylä, B Adams, G Destefanis… - Proceedings of the 13th …, 2016 - dl.acm.org
Similar to other industries, the software engineering domain is plagued by psychological
diseases such as burnout, which lead developers to lose interest, exhibit lower activity …