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A taxonomy of application scheduling tools for high performance cluster computing
2006
Cluster Computing
Preserved Fulltext
Application scheduling plays an important role in high-performance cluster computing. Application scheduling can be classified as job scheduling and task scheduling. ...
After discussing the fundamental scheduling techniques, we propose a framework and taxonomy for the scheduling tools on clusters. ...
Application Requirements Compute-intensive applications highly rely on the task scheduling to realize high-performance computing on clusters. ...
doi:10.1007/s10586-006-9747-2
fatcat:e4cbgqmqfvcw7alfzmaiklza3y
Energy-Aware High Performance Computing: A Taxonomy Study
2011
2011 IEEE 17th International Conference on Parallel and Distributed Systems
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A number of research projects have been carried out in the field of energy-aware high performance computing. ...
To reduce the energy consumption and build a sustainable computer infrastructure now becomes a major goal of the high performance community. ...
Fig. 1 . 1 Taxonomy of energy-aware high performance computing
Fig. 2 . 2 Taxonomy of energy-aware cluster computing
Fig. 3 . 3 Taxonomy of energy-aware data center computing ...
doi:10.1109/icpads.2011.59
dblp:conf/icpads/CaiWKT11
fatcat:2frg66nlyrf6djsbnmnfggs57u
A taxonomy of computer-based simulations and its mapping to parallel and distributed systems simulation tools
2004
Software, Practice & Experience
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Therefore, the aim of this paper is to develop a comprehensive taxonomy for design of computer-based simulations, and apply this taxonomy to categorize and analyze various simulation tools for parallel ...
At the same time, a variety of design principles and approaches for computer-based simulation have evolved. As a result, an increasing number of simulation tools have been designed and developed. ...
ACKNOWLEDGEMENTS The authors would like to acknowledge all researchers of the simulation tools described in this paper and thank them for their outstanding work. ...
doi:10.1002/spe.585
fatcat:b6z6njmvp5gsjcypyzcynoeb24
A taxonomy and survey on autonomic management of applications in grid computing environments
2011
Concurrency and Computation
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Thus, AC provides a holistic approach for the development of systems/applications that can adapt themselves to meet requirements of performance, fault tolerance, reliability, security, Quality of Service ...
To this end, we propose a comprehensive taxonomy that characterizes and classifies different software components and highlevel methods that are required for autonomic management of applications in Grids ...
Scalea is a performance measurement and analysis tool for parallel and distributed high-performance applications. ...
doi:10.1002/cpe.1734
fatcat:rgaqyybmmvdufphqfcr47ymhoe
Scientific workflows management and scheduling in cloud computing: Taxonomy, prospects, and challenges
2021
IEEE Access
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Acknowledgement This work is supposed by Universiti Putra Malaysia and the Ministry of Education Malaysia. ...
High performance computing (HPC) and high throughput computing (HTC) such as cloud and fog computing [25] provide the required processing power for execution of distributed scientific workflows designed ...
PERFORMANCE EVALUATION PLATFORMS This section provides the description of simulation tools commonly used for evaluation of workflow management and scheduling strategies designed in cloud computing for ...
doi:10.1109/access.2021.3070785
fatcat:nbrkndnhzra57lpbhzpyeht3wq
Container-based Cluster Orchestration Systems: A Taxonomy and Future Directions
[article]
2018
arXiv
pre-print
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This has led to the emergence of container orchestration platforms, which are designed to manage the deployment of containerized applications in large-scale clusters. ...
This paper studies these management systems and proposes a taxonomy that identifies different mechanisms that can be used to meet the aforementioned challenges. ...
[18] proposed a taxonomy and performed a survey of grid resource management systems for distributed computing that included the scheduler architecture or organization. ...
arXiv:1807.06193v2
fatcat:4zs4eu4ksrczjdz3xgwbdhfisa
Scheduling in distributed systems: A cloud computing perspective
2018
Computer Science Review
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2019 pre-print arXiv:1901.03270v1 fatcat:2qv2zwbf5fg6ddtz4exj5i2g2e
In this paper we introduce a classification of the scheduling problem in distributed systems by presenting a taxonomy that incorporates recent developments, especially those in cloud computing. ...
The emergence of distributed systems brought new challenges on scheduling in computer systems, including clusters, grids, and more recently clouds. ...
We introduce a taxonomy of scheduling in cloud computing, extending the pre-cloud taxonomy. ...
doi:10.1016/j.cosrev.2018.08.002
fatcat:n4mg735uzzbxrgxvteebf2ez3u
Kubernetes Scheduling: Taxonomy, ongoing issues and challenges
2022
ACM Computing Surveys
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Therefore, we conduct a study of empirical research on Kubernetes scheduling techniques and present a new taxonomy for Kubernetes scheduling. ...
Continuous integration enables the development of microservices-based applications using container virtualization technology. ...
ACKNOWLEDGMENTS The Spanish Ministry of Science and Innovation (ref. RTI2018-098156-B-C52) supported this work. ...
doi:10.1145/3539606
fatcat:c643x3k5nngopmaytxw74h4vwy
Resource Management and Scheduling for Big Data Applications in Cloud Computing Environments
[article]
2018
arXiv
pre-print
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It covers the state-of-art practices and researches done in SLA-based resource management with a specific focus on the job scheduling mechanisms. ...
This chapter presents software architectures of the big data processing platforms. ...
A Taxonomy on Scheduling of Big Data Applications Many types of research have been done in the task and resource scheduling in the cloud computing environment. ...
arXiv:1812.00563v2
fatcat:nidspd4n2vaftdw65pzjiwoxuu
A Survey on Resource Scheduling in Cloud Computing: Issues and Challenges
2016
Journal of Grid Computing
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Resource scheduling in cloud is a challenging job and the scheduling of appropriate resources to cloud workloads depends on the QoS requirements of cloud applications. ...
Methodical analysis of resource scheduling in cloud computing is presented, resource scheduling algorithms and management, its types and benefits with tools, resource scheduling aspects and resource distribution ...
[37] presented VM based resource scheduling technique to evaluate the total price of Gang scheduling with starvation handling and migrations and performance of high performance enterprise applications ...
doi:10.1007/s10723-015-9359-2
fatcat:cyhh4lnslfb6lhfcdif2pydkba
A Survey and Annotated Bibliography of Workflow Scheduling in Computing Infrastructures: Community, Keyword, and Article Reviews – Extended Technical Report
[article]
2020
arXiv
pre-print
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Each part features one or more taxonomies, a view of the community, important and emerging keywords, and directions for future work. ...
Different Quality-of-Service (QoS) requirements and other desires of both users and providers makes workflow scheduling a tough problem, especially since resource providers need to be as efficient as possible ...
ACKNOWLEDGMENTS We thank Erwin van Eyk, Oana Inel, Benno Kruit, and Alexandru Uta for their helpful comments. This work is sponsored by COMMIT and Vidi MagnaData. ...
arXiv:2004.10077v1
fatcat:zv7kkegzkvebnjo64efzzlsb34
Energy-Aware High-Performance Computing: Survey of State-of-the-Art Tools, Techniques, and Environments
2019
Scientific Programming
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The paper presents state of the art of energy-aware high-performance computing (HPC), in particular identification and classification of approaches by system and device types, optimization metrics, and ...
Based on our review, we identified a set of open areas and important up-to-date problems concerning methods and tools for modern HPC systems allowing energy-aware processing. ...
Introduction In today's high-performance computing (HPC) systems, consideration of energy and power plays a more and more important role. ...
doi:10.1155/2019/8348791
fatcat:ib3dvjzg2bhhjnnklb4kaj2eqi
The anatomy of big data computing
2015
Software, Practice & Experience
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Big data computing demands a huge storage and computing for data curation and processing that could be delivered from on-premise or clouds infrastructures. ...
This paper discusses the evolution of big data computing, differences between traditional data warehousing and big data, taxonomy of big data computing and underpinning technologies, integrated platform ...
ACKNOWLEDGEMENTS We thank Rodrigo Calheiros, Nikolay Grozev, Amir Vahid, and Harshit Gupta for their comments and suggestions on improving the quality of the paper. ...
doi:10.1002/spe.2374
fatcat:pe57kzvunrf7blpbm7cpwliysu
The Anatomy of Big Data Computing
[article]
2015
arXiv
pre-print
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Big Data computing demands a huge storage and computing for data curation and processing that could be delivered from on-premise or clouds infrastructures. ...
This paper discusses the evolution of Big Data computing, differences between traditional data warehousing and Big Data, taxonomy of Big Data computing and underpinning technologies, integrated platform ...
Acknowledgements We thank Rodrigo Calheiros, Nikolay Grozev, Amir Vahid, and Harshit Gupta for their comments and suggestions on improving the quality of paper. ...
arXiv:1509.01331v1
fatcat:vqea74fgk5h5jpapwaaplvhuda
GPU PaaS Computation Model in Aneka Cloud Computing Environment
[article]
2018
arXiv
pre-print
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Aneka is emerged as a popular PaaS computing model for the development of Cloud applications using multiple programming models like Thread, Task, and MapReduce in a single container .NET platform. ...
However, the lack of programming models and frameworks to develop cloud-native applications in a seamless manner to utilize both CPU and GPU resources in the cloud has become a bottleneck for rapid application ...
They have built system using Commodity Off-The-Shelf High-Performance Computing Technology: a cluster of GPU servers with InfiniBand interconnection. ...
arXiv:1808.06332v1
fatcat:6jyfwkjhozg55c4nfrjbctmlpi
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