Improving Resource Usages of Containers Through Auto-Tuning Container Resource Parameters

Cai, Lin X.; Qi, Yong; Wei, Wei; Li, Jingwei

doi:10.1109/access.2019.2927279

Cited by 11 publications

(4 citation statements)

References 29 publications

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“…Initially, it started with the VMs which are light. These technologies possessed an isolated OS on which the application can be deployed [10]. Containers have several benefits over VMs [11].…”

Section: Related Workmentioning

confidence: 99%

Queueing Model based Dynamic Scalability for Containerized Cloud

Srivastava¹,

Kumar²

2023

IJACSA

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Cloud computing has become a growing technology and has received wide acceptance in the scientific community and large organizations like government and industry. Due to the highly complex nature of VM virtualization, lightweight containers have gained wide popularity, and techniques to provision the resources to these containers have drawn researchers towards themselves. The models or algorithms that provide dynamic scalability which meets the demand of high performance and QoS utilizing the minimum number of resources for the containerized cloud have been lacking in the literature. The dynamic scalability facilitates the cloud services in offering timely, on-demand, and computing resources having the characteristic of dynamic adjustment to the end users. The manuscript has presented a technique which has exploited the queuing model to perform the dynamic scalability and scale the virtual resources of the containers while reducing the finances and meeting up the user's Service Level Agreement (SLA). The paper aims in improving the usage of virtual resources and satisfy the SLA requirements in terms of response time, drop rate, system throughput, and the number of containers. The work has been simulated using Cloudsim and has been compared with the existing work and the analysis has shown that the proposed work has performed better.

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Section: Related Workmentioning

confidence: 99%

Queueing Model based Dynamic Scalability for Containerized Cloud

Srivastava¹,

Kumar²

2023

IJACSA

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“…Due to the continuous advancement in communication and software technologies, such as the internet of things (IoT) [14,15], cloud computing [16,17], distributed technology [18], Big data [19,20], container technology [21][22][23], and message queue technology [24], a new type of EAP can be designed to solve the above-mentioned problems for the traditional EAP. (1) The tight coupling between the communication and logic models makes the EAP bloated and unstable.…”

Section: Introductionmentioning

confidence: 99%

A New Framework of the EAP System in Semiconductor Manufacturing Internet of Things

Song,

Qiao,

et al. 2023

Electronics

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In modern semiconductor manufacturing, the computer-integrated manufacturing system plays an essential role in automation with plenty of software systems. Among them, the equipment automation program (EAP) is one of the fundamental systems to support the interconnection of various types of equipment. For the traditional EAP, the communication and logic models are tightly coupled. The occurrence of any exception in EAP may make the EAP power down such that no equipment is reachable. Additionally, it can handle a couple of manufacturing tools only. The extension of manufacturing tools in a semiconductor fab makes the investment in EAP unbearable. Thus, fabs are highly desired to solve such problems of the traditional EAP. To do so, this work designs a new framework for a distributed EAP system with new technologies being adopted to enhance the usage and stability of EAP. Additionally, this design philosophy makes the distributed EAP system more compatible and expansible. Further, this EAP system can be upgraded as communication and big data technologies advance. Experiments are carried out to verify the stability of the designed distributed EAP system.

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“…The lightweight, security, and isolation advantages of the Docker have led to a large number of research efforts (Cai et al, 2019). For example, an emergency communication system response to natural disasters has been established using Docker and Rsync utility, making use of the lightweight and rapid deployment characteristics of Docker to reduce the use of system resources (Kumar Pentyala et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

A secure edge power system based on a Docker container

Jiang²,

Wen³

et al. 2022

Front. Energy Res.

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Thanks to the advantages of low latency, high efficiency, and oneself-security, the edge computing (EC) paradigm is expected to widely be applied in a large number of scenarios. However, because EC equipment is closer to a wide variety of terminals in a realistic environment, it is also more vulnerable to terminal attacks. The security of edge computing equipment itself cannot be ignored. Docker is a lightweight container technology that closely fits the existing needs of edge computing for portability, security isolation, and convenience. In this paper, Docker technology is taken as an edge computing security support engine and a security monitoring system based on the Docker container is built. In addition, combined with container monitoring and objective weighting method, a node security judgment method is proposed. Finally, according to the results of the node security judgment, a method for evaluating the security of the unmonitored node is put forward. Consequently, an edge computing security monitoring system based on the Docker container is built, and its performance in the real environment of a smart grid system is implemented to verify the proposed method. The results prove the efficiency and security protection of the novel edge power system.

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Improving Resource Usages of Containers Through Auto-Tuning Container Resource Parameters

Cited by 11 publications

References 29 publications

Queueing Model based Dynamic Scalability for Containerized Cloud

Queueing Model based Dynamic Scalability for Containerized Cloud

A New Framework of the EAP System in Semiconductor Manufacturing Internet of Things

A secure edge power system based on a Docker container

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