Time Management and Scheduling

Autor: Paul Schönsleben

Publikováno v: Handbook Integral Logistics Management ISBN: 9783662656242
Integral Logistics Management ISBN: 9781315368320
Integral Logistics Management: Operations and Supply Chain Management in Comprehensive Value-Added Networks, Third Edition

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b11973a82fd75d792060620a13ee1c35
https://doi.org/10.1007/978-3-662-65625-9_13

Modelling and developing conflict-aware scheduling on large-scale data centres

Autor: Songling Fu, Chao Chen, Chang-Tsun Li, Zhangjie Fu, Yongjian Hu, Jiadong Ren, Bo Gao, Bin Wang, Ligang He

Publikováno v: Future Generation Computer Systems

Large-scale data centres are the growing trend for modern computing systems. Since a large-scale data centre has to manage a large number of machines and jobs, deploying multiple independent schedulers (termed as distributed schedulers in literature)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08143e2820b2f63194f88188d4777c16
https://doi.org/10.1016/j.future.2017.07.043

Algorithms for hierarchical and semi-partitioned parallel scheduling

Autor: Gianlorenzo D'Angelo, Vincenzo Bonifaci, Alberto Marchetti-Spaccamela

Publikováno v: Journal of Computer and System Sciences
Journal of Computer and System Sciences, Elsevier, 2021, 120, pp.116-136. ⟨10.1016/j.jcss.2021.03.006⟩
Journal of Computer and System Sciences, 2021, 120, pp.116-136. ⟨10.1016/j.jcss.2021.03.006⟩
Proceedings-IEEE International Parallel and Distributed Processing Symposium (2017): 738–747. doi:10.1109/IPDPS.2017.22
info:cnr-pdr/source/autori:Bonifaci, Vincenzo; D'Angelo, Gianlorenzo; Marchetti-Spaccamela, Alberto/titolo:Algorithms for Hierarchical and Semi-Partitioned Parallel Scheduling/doi:10.1109%2FIPDPS.2017.22/rivista:Proceedings-IEEE International Parallel and Distributed Processing Symposium/anno:2017/pagina_da:738/pagina_a:747/intervallo_pagine:738–747/volume
IPDPS

We propose a model for scheduling jobs in a parallel machine setting that takes into account the cost of migrations by assuming that the processing time of a job may depend on the specific set of machines among which the job is migrated. For the make

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ad0cfdac60c222d4d9fe4c8d03bc012
http://hdl.handle.net/11573/1571248

A Collaborative Multiobjective Fruit Fly Optimization Algorithm for the Resource Constrained Unrelated Parallel Machine Green Scheduling Problem

Autor: Ling Wang, Xiao-long Zheng

Publikováno v: IEEE Transactions on Systems, Man, and Cybernetics: Systems. 48:790-800

Due to the development of the green economy, green manufacturing has been a hot topic. This paper proposes a new problem, i.e., the resource constrained unrelated parallel machine green manufacturing scheduling problem (RCUPMGSP) with the criteria of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::afecaac73e727329429f23ef6f08201c
https://doi.org/10.1109/tsmc.2016.2616347

Schedulability analysis and stack size minimization with preemption thresholds and mixed-criticality scheduling

Autor: Zonghua Gu, Haibo Zeng, Nenggan Zheng, Qingling Zhao

Publikováno v: Journal of Systems Architecture. 83:57-74

Mixed-Criticality Scheduling (MCS) is an effective approach to addressing certification requirements of safety-critical Cyber-Physical Systems that integrate multiple subsystems with different levels of criticality in application domains such as avio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9cc91060e7304473ca50d4753df20f90
https://doi.org/10.1016/j.sysarc.2017.03.007