High-performance docker integration scheme based on OpenStack

Yang, Sijie; Wang, Xiaofeng; Wang, Xiaoxue; An, Lun; Guizhu, Zhang

doi:10.1007/s11280-020-00789-9

Cited by 8 publications

(4 citation statements)

References 29 publications

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“…For Docker containers, a resource aware approach was built for scheduling in presence of heterogeneous clusters in [40]. Other significant contributions found in the literature include container scheduling [41], Docker integration scheme [42], proactive auto scaling [43], virtualization [44], FPGA virtualization [45], container based scheduling [46], container based scheduling strategy in Kubernetes [48] and container management service for high performance computing [49].…”

Section: Related Workmentioning

confidence: 99%

Contention-aware Greedy Heuristic Method and Learning based Method for Load Balancing through Scheduling for Containers in Cloud Computing Environments

Gogineni,

2024

Preprint

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Containerization became indispensable in distributed environments for packaging software and dependencies in a lightweight executable container. In the era of big data and availability of cloud infrastructure, it is more so as distributed applications are more resource and data-intensive. Such High Performance Computing (HPC) applications are deployed in containerized services. However, data-intensive nature of those applications lead to poor performance unless scheduler considers it. In this paper, not only load balancing of containers but also performance of underlying applications is considered. Towards this end, a scheduling algorithm with unified optimization considering load balancing and also application performance is proposed. This algorithm, named Contention-aware Greedy Heuristic Scheduling and Load Balancing for Containers (CGHSLBC), helps in improving performance of containerization in distributed environments. Problems associated with containerization in terms of balancing load and also application performance are NP-hard. CGHSLBC has heuristics to deal with such issues. Empirical study has revealed that CGHSLBC better application performance besides balancing load of containerized services in cloud infrastructure. We also proposed a learning based methodology to schedule and balance load for containers. It is based on Deep Reinforcement Learning (DRL) where state change is continuously monitored while making well informed scheduling decisions. An algorithm named Reinforcement Learning based Dynamic Scheduling (RLbDS) is proposed and empirical study has revealed that it shows better performance over state of the art methods.

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Section: Related Workmentioning

confidence: 99%

Contention-aware Greedy Heuristic Method and Learning based Method for Load Balancing through Scheduling for Containers in Cloud Computing Environments

Gogineni,

2024

Preprint

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“…Fresh possibilities for providing a safe, controlled execution environment arise from the capacity to openly manage a guest program's execution. Usually, the virtual machine is the target of all guest program actions, which are then converted and applied to the host applications [25].…”

Section: Improved Securitymentioning

confidence: 99%

Survey on Virtualization Technique and Its Role in Cloud Computing Environment

2024

ART

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Nowadays, cloud computing and virtualization are two major study areas. Unlike in the past, virtualization is being used by a growing variety of organizations for power reduction, testing and development, disaster recovery, server consolidation, dynamic load balancing, improved system reliability, and security. It also offers high availability for critical applications and expedites their deployment and migration. Through cloud computing, information technology resources can be provided to end users as services via the Internet. Virtualization is one of these crucial cloud computing core technologies. We provide a thorough overview of virtualization in this paper.

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“…What is more, network emulation has been studied along with virtualization and attack emulation for replicating realistic scenarios and for security evaluation purposes [45]. Moreover, the benefits of virtualization and Dockers have also been considered by analyzing their capabilities for network virtualization [46,47]. The networking functionalities of containerization technology in the content of lightweight virtualization instances have been under research [30,48].…”

Section: Related Workmentioning

confidence: 99%

PocketCTF: A Fully Featured Approach for Hosting Portable Attack and Defense Cybersecurity Exercises

et al. 2021

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Capture the flag (CTF) challenges are broadly used for engaging trainees in the technical aspects of cybersecurity, maintaining hands-on lab exercises, and integrating gamification elements. However, deploying the appropriate digital environment for conducting cybersecurity exercises can be challenging and typically requires a lot of effort and system resources by educators. In this paper, we present PocketCTF, an extensible and fully independent CTF platform, open to educators to run realistic virtual labs to host cybersecurity exercises in their classrooms. PocketCTF is based on containerization technologies to minimize the deployment effort and to utilize less system resources. A proof-of-concept implementation demonstrates the feasibility of deploying CTF challenges that allows the trainees to engage not only in offensive security but also in defensive tasks that have to be conducted during cybersecurity incidents. When using PocketCTF, educators can deploy hands-on labs, spending less time on the deployment and without necessarily having the advanced technical background to deploy complex labs and scenarios.

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High-performance docker integration scheme based on OpenStack

Cited by 8 publications

References 29 publications

Contention-aware Greedy Heuristic Method and Learning based Method for Load Balancing through Scheduling for Containers in Cloud Computing Environments

Contention-aware Greedy Heuristic Method and Learning based Method for Load Balancing through Scheduling for Containers in Cloud Computing Environments

Survey on Virtualization Technique and Its Role in Cloud Computing Environment

PocketCTF: A Fully Featured Approach for Hosting Portable Attack and Defense Cybersecurity Exercises

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