DDDQN‐TS: A task scheduling and load balancing method based on optimized deep reinforcement learning in heterogeneous computing environment
Sign Up to like & getrecommendations! 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… read more here.
Keywords: problem; scheduling load; task; load balancing ... See more keywords
Workload-driven coordination between virtual machine allocation and task scheduling
Sign Up to like & getrecommendations! 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,… read more here.
Keywords: task; workload; task scheduling; allocation task ... See more keywords
QL-HEFT: a novel machine learning scheduling scheme base on cloud computing environment
Sign Up to like & getrecommendations! 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… read more here.
Keywords: heft; task scheduling; cloud computing; machine learning ... See more keywords
A systematic literature review for load balancing and task scheduling techniques in cloud computing
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DOI: 10.1007/s10462-024-10925-w
Abstract: Cloud computing is an emerging technology composed of several key components that work together to create a seamless network of interconnected devices. These interconnected devices, such as sensors, routers, smartphones, and smart appliances, are the… read more here.
Keywords: task scheduling; cloud computing; balancing task; load balancing ... See more keywords
Autonomic task scheduling algorithm for dynamic workloads through a load balancing technique for the cloud-computing environment
Sign Up to like & getrecommendations! 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… read more here.
Keywords: load balancing; cloud computing; load; task scheduling ... See more keywords
A Hybrid Approach for Task Scheduling Using the Cuckoo and Harmony Search in Cloud Computing Environment
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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… read more here.
Keywords: task scheduling; cloud computing; harmony search; search ... See more keywords
Prioritized Energy Efficient Task Scheduling Algorithm in Cloud Computing Using Whale Optimization Algorithm
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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… read more here.
Keywords: algorithm; task; energy; cloud computing ... See more keywords
Degree-of-Node Task Scheduling of Fine-Grained Parallel Programs on Heterogeneous Systems
Sign Up to like & getrecommendations! 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… read more here.
Keywords: task; heterogeneous systems; grained parallel; fine grained ... See more keywords
Extended water wave optimization (EWWO) technique: a proposed approach for task scheduling in IoMT and healthcare applications
Sign Up to like & getrecommendations! Published in 2024 at "Evolutionary Intelligence"
DOI: 10.1007/s12065-024-00947-2
Abstract: The Internet of Medical Things (IoMT) is a version of the Internet of Things. It is getting the attention of researchers because it can be used in a wide range of smart healthcare systems. One… read more here.
Keywords: task scheduling; ewwo; healthcare; cloud ... See more keywords
Dynamic Measurement of Task Scheduling Algorithm in Multi-Processor System
Sign Up to like & getrecommendations! 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.… read more here.
Keywords: multi processor; processor system; task scheduling; scheduling algorithm ... See more keywords
HIGA: Harmony-inspired genetic algorithm for rack-aware energy-efficient task scheduling in cloud data centers
Sign Up to like & getrecommendations! 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… read more here.
Keywords: genetic algorithm; cloud data; energy; data centers ... See more keywords