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Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22983
Abstract: Task scheduling and load balancing problem of heterogeneous computing environment (HCE) is getting more and more attention these days and has become a research hotspot in this field. The task scheduling and load balancing problem…
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Keywords:
problem;
scheduling load;
task;
load balancing ... See more keywords
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Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04022-1
Abstract: The current task scheduling is separated from the virtual machine (VM) allocation, which, to some extent, wastes resources or degrades application performance. The scheduling algorithm influences the demand of VMs in terms of service-level agreement,…
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Keywords:
task;
workload;
task scheduling;
allocation task ... See more keywords
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Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04118-8
Abstract: Cloud computing is a computing model that fully utilizes the resources on the Internet to maximize the utilization of resources. Due to a large number of users and tasks, it is important to achieve efficient…
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Keywords:
heft;
task scheduling;
cloud computing;
machine learning ... See more keywords
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Published in 2021 at "Cluster Computing"
DOI: 10.1007/s10586-020-03177-0
Abstract: Applying the load balancing technique to allocate requests that dynamically enter the cloud environment is contributive in maintaining the system stability, reducing the response time, and increasing the resource productivity. One of the main challenges…
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Keywords:
load balancing;
cloud computing;
load;
task scheduling ... See more keywords
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Published in 2018 at "Wireless Personal Communications"
DOI: 10.1007/s11277-018-5816-0
Abstract: Cloud Computing is a gathering of physical and virtualized assets gave to the clients according to request and pay per uses bases via internet. Basically, the task scheduling and resource allocation two features are considered…
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Keywords:
task scheduling;
cloud computing;
harmony search;
search ... See more keywords
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Published in 2021 at "Wireless Personal Communications"
DOI: 10.1007/s11277-021-09018-6
Abstract: Task Scheduling is one of the important aspects in Cloud Computing. The Primary Objective of the task scheduling is to effectively map tasks on to the corresponding VMs by minimizing makespan and maximizing utilization of…
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Keywords:
algorithm;
task;
energy;
cloud computing ... See more keywords
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Published in 2019 at "Journal of Computer Science and Technology"
DOI: 10.1007/s11390-019-1962-4
Abstract: Processor specialization has become the development trend of modern processor industry. It is quite possible that this will still be the main-stream in the next decades of semiconductor era. As the diversity of heterogeneous systems…
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Keywords:
task;
heterogeneous systems;
grained parallel;
fine grained ... See more keywords
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Published in 2019 at "Journal of Shanghai Jiaotong University (science)"
DOI: 10.1007/s12204-019-2073-7
Abstract: It is important to evaluate function behaviors and performance features of task scheduling algorithm in the multi-processor system. A novel dynamic measurement method (DMM) was proposed to measure the task scheduling algorithm’s correctness and dependability.…
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Keywords:
multi processor;
processor system;
task scheduling;
scheduling algorithm ... See more keywords
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Published in 2020 at "Engineering Science and Technology, an International Journal"
DOI: 10.1016/j.jestch.2019.03.009
Abstract: Abstract Reducing energy consumption in cloud data centers is one of the prime issue in the cloud community. It reduces energy related costs and increases lifespan of high performance computing resources deployed in cloud data…
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Keywords:
genetic algorithm;
cloud data;
energy;
data centers ... See more keywords
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Published in 2021 at "Sustainable Cities and Society"
DOI: 10.1016/j.scs.2021.102945
Abstract: Abstract In the recent years, important key factor for urban planning is to analyze the sustainability and its functionality towards smart cities. Presently, many researchers employ the conservative machine learning based analysis but those are…
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Keywords:
health;
smart cities;
deep learning;
scheduling algorithm ... See more keywords
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Published in 2018 at "Enterprise Information Systems"
DOI: 10.1080/17517575.2017.1364428
Abstract: ABSTRACT Cloud manufacturing (CMfg) has emerged as a new manufacturing paradigm that provides ubiquitous, on-demand manufacturing services to customers through network and CMfg platforms. In CMfg system, task scheduling as an important means of finding…
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Keywords:
manufacturing tasks;
cmfg;
cloud manufacturing;
task scheduling ... See more keywords