Cargando…
MF-Storm: a maximum flow-based job scheduler for stream processing engines on computational clusters to increase throughput
BACKGROUND: A scheduling algorithm tries to schedule multiple computational tasks on a cluster of multiple computing nodes to maximize throughput with optimal utilization of computational and communicational resources. A Stream Processing Engine (SPE) is deployed to run streaming applications (compu...
Autores principales: | Muhammad, Asif, Abdul Qadir, Muhammad |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9575846/ https://www.ncbi.nlm.nih.gov/pubmed/36262141 http://dx.doi.org/10.7717/peerj-cs.1077 |
Ejemplares similares
-
A fault-intrusion-tolerant system and deadline-aware algorithm for scheduling scientific workflow in the cloud
por: Farid, Mazen, et al.
Publicado: (2021) -
An efficient approach for low latency processing in stream data
por: Bhatt, Nirav, et al.
Publicado: (2021) -
Comparative analysis of scheduling algorithms for radio resource allocation in future communication networks
por: Ashfaq, Khuram, et al.
Publicado: (2021) -
A task scheduling algorithm with deadline constraints for distributed clouds in smart cities
por: Zhou, Jincheng, et al.
Publicado: (2023) -
Classification of the drifting data streams using heterogeneous diversified dynamic class-weighted ensemble
por: Sarnovsky, Martin, et al.
Publicado: (2021)