Container-based System Research Articles

The Impact of an Automation System Built with Jenkins on the Efficiency of Container-Based System Deployment.

This paper evaluated deployment efficiency by comparing manual deployment with automated deployment through a CI/CD pipeline using Jenkins. This study involved moving from a manual deployment process to an automated system using Jenkins and experimenting with both deployment methods in a real-world environment. The results showed that the automated deployment system significantly reduced the deployment time compared to manual deployment and significantly reduced the error rate. Manual deployment required human intervention at each step, making it time-consuming and prone to mistakes, while automated deployment using Jenkins automated each step to ensure consistency and maximized time efficiency through parallel processing. Automated testing verified the stability of the code before deployment, minimizing errors. This study demonstrates the effectiveness of adopting a CI/CD pipeline and shows that automated systems can provide high efficiency in real-world production environments. It also highlights the importance of security measures to prevent sensitive information leakage during CI/CD, suggesting the use of secrecy management tools and environment variables and limiting access rights. This research will contribute to exploring the applicability of CI/CD pipelines in different environments and, in doing so, validate the universality of automated systems.

Optimal Usage of Resources through Quality Aware Scheduling in Containers based Cloud Computing Environment

For cloud computing, the Quality Aware Scheduling of Containers (QASC) model has been proposed for delay-sensitive tasks. Plan your cloud tasks. Typically, time constraints are met while resources are used effectively. It's a really difficult undertaking. In order to distribute containers more effectively, QASC takes into account a number of performance factors. Containers and their make-span logs, as well as input quality metrics like I/O-intensive workload, startup time, hot standby failure rate, and inter-container dependencies, are collected by the QASC model. A metric coefficient that indicates each container's overall rating is calculated by normalizing and averaging these values to determine it. In order to determine how well scheduling performed, the model also includes a quality coefficient that calculates this metric-coefficient threshold. It's also critical for QASC to be able to determine the remaining energy in each container, which represents its request capacity. In order to optimize cloud resources, energy use is also taken into account by the model. From the cloud-sim simulation, an experimental dataset including 50 containers and 1,200 internet protocol-capable users was employed. For the make-span ratio, round-trip time, and energy consumption analysis, this produced 20,000 data points. The RLSched, DSTS, and ADATSA models were contrasted with the QASC model. The outcomes showed that QASC performed better than these models in a number of crucial areas. Tasks may be managed better with the higher average make-span ratio and lower volatility. Its superior job scheduling and resource use were further demonstrated by its shorter round-trip durations and lower energy usage across loads. The QASC model is an extremely complex scheduling method for container-based systems and a significant advancement in cloud computing research. Its approaches and methods enable for more intelligent energy use as well as high-quality services while also improving system performance, particularly for tasks that are delay-sensitive.

Monintainer: An orchestration-independent extensible container-based monitoring solution for large clusters

Container virtualization has recently gained popularity due to its low performance and resource allocation overhead. The rise of this technology can be attributed to the advancement of cloud computing and the adoption of micro-services architecture. These new approaches offer a more efficient and fine-grained system design through the benefits of containerization, such as isolation, portability, and improved performance. However, container-based systems have created new challenges in monitoring due to their automated flexibility, ephemerality, and the increasing number of containers in a system. So there is a practical need for effective monitoring and performance management tools. This paper analyses the key performance metrics for machine, container and application services, including CPU usage, memory usage, disk usage, and network usage. Furthermore, we review several widespread tools for collecting and monitoring these metrics and present the Monintainer tool. It is a solution designed to monitor entire container-based systems, from applications to their underlying infrastructure, allowing users to better understand their systems’ behavior in run-time. The tool’s results can aid container-based systems’ design, implementation and optimization.

Determinants of Adapted Improved Sanitation in Rural and Urban of Bangladesh and Pakistan

This study focuses on the socioeconomic and demographic determinants of improved sanitation adaptation in South Asia, mainly in Bangladesh and Pakistan. For the purpose of mass population study, cross-sectional datasets were obtained for both Bangladesh and Pakistan. The survey is based on a two-stage stratified sample of households. This study hypothesized the status of sanitation into three categorically distributed dependent variables which are “improved sanitation facility”, “unimproved sanitation facility” and “no sanitation facility”. According to the World Health Organization, these variables are supported to categorize the situation of sanitation by the Joint Monitoring Program categorization of toilet facilities. The “improved sanitation facilities” includes Flush or pour flushed toilets connected to sewers, Flush or pour flushed toilets or latrines connected to pits or septic tanks, and ventilated improved pit (VIP) latrines, Pit latrines with slab, Composting toilets including twin-pit latrines and container-based systems. The “unimproved sanitation facilities” includes Pit latrines without slab, Bucket latrines and Hanging latrines. And the “no facility” category includes open defecation (bush/field/desert/road/beach etc.). Wealth Index of the household, Gender of head of the household, marital status of the respondent, Education of household head, Locality of the household, and Province/ division are the categorical explanatory variables used in this study; family size of the household and age of the head of the household are two numerical explanatory variables that are taken as important demographic factors. Two candidate models were constructed for predicting no facility, unimproved sanitation, and improved sanitation respectively. In the sample, only 1.26% of households of Bangladesh do not have any toilet facility while Pakistan has 10.1% households without any toilet facility. The indicators, all three component models, and two data sets demonstrate agreement in the analysis. There is no discernible upward trend in model performance year after year. All of the comparison results show that the ordinal logistic model outperforms the multinomial regression model. According to the AIC, BIC, and log probability statistics, the highest education of family members is a more relevant element in a household's avoiding status in Pakistan. The indicators, all three component models, and two data sets demonstrate agreement in the analysis. There is no discernible upward trend in model performance year after year. All of the comparison results show that the ordinal logistic model outperforms the multinomial regression model.

Development of a fire detection and suppression system for a smart air cargo container

ABSTRACTThis study investigates and proposes a fire detection and suppression system for a smart air cargo container. A series of smoke spread and fire evolution numerical models are executed to assess the performance of container-based fire detection in various fire scenarios. This is to identify the worst case and optimise the location and threshold setting of fire detection sensors, achieving the shortest detection time. It is found that the fire detection threshold (reduction in light transmission = 12%/ft) for a container-based system can be set at three times the standard activation threshold for a cargo-based fire detection system, which can reduce the number of false alarms by three orders of magnitude. Moreover, effectiveness analysis of passive fire protection for the glass fibre-reinforced polymer-made smart container indicates an allowable leakage size of 0.01m2. The risk of internal overpressure has been found to be negligible for the leakage size required by aircraft pressure equalisation.

An Implementation of High Efficient Smart Street Light Management System for Smart City

Street light are among the most common infrastructure in cities. Street lights and sensors can be combined to generate an interface of data collection. The analysis of massive data serves as an integral element of a smart city. This paper proposes a highly efficient system for the configuration, deployment, and management of smart street lights. The features of fast deployment and high scalability of the container-based system management result in virtual deployment. Additionally, for database design, NoSQL and in-memory databases are integrated to realize flexible data management. In terms of data transmission, this paper designs an asymmetric key and an SSH encrypted tunnel. Moreover, when all the services are connected, it conducts legitimacy validation via a token. Therefore, this system can help meet the demands for data throughput, low-latency, configuration, and realization of a smart city. It boasts high efficiency and security. Besides, it offers a flexible data storage and management service to facilitate the massive data processing of a smart city. With respect to experiments, this paper designs a street lighting simulation system with edge computing devices (consisting of a micro-controller, a sensor, and an IP camera) and a street lighting function. The system collects real-time sensed environmental data, enables live streaming of images, and offers an API for historical data query. This paper utilizes container-based virtualization to deploy all edge computing devices on the server and validates the feasibility of simultaneous operation of multiple container-based services on edge computing devices. This system has high commercial value.

An orchestration framework for monitoring and analysis of container-based logs and systems

Container technology provides a rapid way of running applications and hence draws it attention to recent times. Container applications are smaller in size and much flexible in management compared to traditional virtual machines. Since containers are non-persistence, the complexity of application logs also increases with number of deployments. Even with wide range of log management tools available, it requires a combination of few for providing a complete logging solution. Thus, it requires a framework which could orchestrate and identify the status of each integrated tools for providing smooth functioning across the entire log system. In this paper, we discussed about the implementation of our orchestration framework, configuration details for communication across log systems and case study.

CADEX and beyond: Installation of a new PollyXT site in Dushanbe

During the 18-month Central Asian Dust Experiment we conducted continuous lidar measurements at the Physical Technical Institute of the Academy of Sciences of Tajikistan in Dushanbe between 2015 and 2016. Mineral dust plumes from various source regions have been observed and characterized in terms of their occurrence, and their optical and microphysical properties with the Raman lidar PollyXT. Currently a new container-based lidar system is constructed which will be installed for continuous long-term measurements in Dushanbe.

A comparative study on non-woven fabric and rigid container-based packaging system used in Central Sterile Supply Department: Experience from a cancer research centre in Eastern India

The purpose of packaging materials used in health-care sterilisation processes is to provide a sterile barrier to protect the medical devices from outside contamination and maintaining sterility until it is used. The objective of this study is to inform the Central Sterile Supply Department technicians and infection control practitioners about the two different types of packaging system with their speciality, advantages and disadvantages so that an informed decision could be taken place before the procurement of these systems. The procurement of these systems would depend on the assessment of various factors such as material compatibility with sterilisation processes, safety features, microbial barrier efficacy, environmental impact and cost (initial investment and consumable cost).

トレーサビリティ開始時のコンテナ内の器械の入れ替わり状況と要因の分析

トレーサビリティ開始時のコンテナ内の器械の入れ替わり状況と要因の分析

Container-based operating system virtualization

Hypervisors, popularized by Xen and VMware, are quickly becoming commodity. They are appropriate for many usage scenarios, but there are scenarios that require system virtualization with high degrees of both isolation and efficiency . Examples include HPC clusters, the Grid, hosting centers, and PlanetLab. We present an alternative to hypervisors that is better suited to such scenarios. The approach is a synthesis of prior work on resource containers and security containers applied to general-purpose, time-shared operating systems. Examples of such container-based systems include Solaris 10, Virtuozzo for Linux, and Linux-VServer. As a representative instance of container-based systems, this paper describes the design and implementation of Linux-VServer. In addition, it contrasts the architecture of Linux-VServer with current generations of Xen, and shows how Linux-VServer provides comparable support for isolation and superior system efficiency.