A novel power control framework in virtual resource environments

Hu, Ying

doi:10.1504/ijnvo.2016.079179

Cited by 2 publications

(2 citation statements)

References 18 publications

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“…(1) Features 1) Using the fault tolerance of multiple data copies and similar interchangeable computing nodes, users do not have to worry about virus intrusion and data loss [5].…”

Section: Cloud Computing Technologymentioning

confidence: 99%

“…Starting with the most available server, allocate resources to suit the requirements and costs of the server, and make the availability level consistent, so the server can be used more efficiently [17]. (5) Affinity balance. For the most guaranteed application performance, you will configure the workload that is closest to the swap resources, such as storage devices [18].…”

Section: Cloud Computing Virtual Resource Allocationmentioning

confidence: 99%

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Cloud Computing Virtual Resource Dynamic System Allocation and Application Based on System Architecture

Yan¹

2021

DSA

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Cloud computing is a way to build dynamic systems based on sharing, which can connect large system pools to provide services. The purpose of this paper is to study the layout and application of cloud computing virtual resource allocation dynamic system based on system structure, to ensure the load balance of virtual resource mixing and reduce resource waste. By using the cluster network topology, the resource utilization of dynamic system clusters can be monitored in real-time, and the current overall load status of the cluster can be automatically determined according to the monitoring data. The experiment is divided into two parts: performance test and scene test. The performance test mainly tests the operation time, CPU operation and memory operation. The scenario test uses JMeter simulation to generate a large number of simultaneous application access requests, as well as the loss rate and processing reaction time of these requests on the cloud service platform and performs load balancing test. The experimental results show that the running time of the system is about 22 to 27 ms, the CPU utilization is about 90% to 95%, and the average running memory is about 3.5m. The results show that cloud computing technology can improve the resource scheduling efficiency of large-scale tasks and optimize the load distribution of resources.

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“…(1) Features 1) Using the fault tolerance of multiple data copies and similar interchangeable computing nodes, users do not have to worry about virus intrusion and data loss [5].…”

Section: Cloud Computing Technologymentioning

confidence: 99%

Section: Cloud Computing Virtual Resource Allocationmentioning

confidence: 99%

Cloud Computing Virtual Resource Dynamic System Allocation and Application Based on System Architecture

Yan¹

2021

DSA

View full text Add to dashboard Cite

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Dynamic system allocation and application of cloud computing virtual resources based on system architecture

Chen

2023

Open Computer Science

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Cloud computing is a system development method based on dynamic sharing, which allows a large number of systems to be combined to provide services. The purpose of this work is to study the design and implementation of a dynamic virtual resource allocation system in cloud computing, whose architecture allows load balancing between virtual resource pools and reduces resource wastage. Using the cluster network topology, the resource usage of the dynamic system cluster can be monitored in real time, and the total cluster load can be automatically determined based on the monitoring data. The experiment is divided into two parts. Performance testing and scenario testing. Performance tests examine execution time, processor, and memory performance. In the scenario test, JMeter is used to simulate the occurrence of a large number of concurrent application access requests, the loss rate, and processing time of these requests on the cloud platform, and load balancing tests are performed. The test results show that the system running time is about 22–27 ms, the CPU utilization is about 90–95%, and the RAM is about 3.5 ms. The results show that cloud technology can improve resource scheduling of large tasks and optimize resource load balance.

show abstract

A novel power control framework in virtual resource environments

Cited by 2 publications

References 18 publications

Cloud Computing Virtual Resource Dynamic System Allocation and Application Based on System Architecture

Cloud Computing Virtual Resource Dynamic System Allocation and Application Based on System Architecture

Dynamic system allocation and application of cloud computing virtual resources based on system architecture

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