Implementation of a Software-Defined Storage Service with Heterogeneous Storage Technologies

Yang, Chao-Tung; Lien, Wei-Hsiang; Shen, Yu-Chuan; Leu, Fang-Yi

doi:10.1109/waina.2015.50

Cited by 11 publications

(3 citation statements)

References 8 publications

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“…GlusterFS is a scalable file-system capable of storing petabytes of data in a distributed way. C. Yang et al [27] compared HDFS, GlusterFS and Ceph performance while writing and reading files. According to their results, the performance of HDFS is superior to the other two platforms.…”

Section: Persistent Storagementioning

confidence: 99%

Parameterization and Performance Analysis of a Scalable, near Real-Time Packet Capturing Platform

Oliveira,

Pedrosa,

Rufino

et al. 2024

Systems

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The rapid evolution of technology has fostered an exponential rise in the number of individuals and devices interconnected via the Internet. This interconnectedness has prompted companies to expand their computing and communication infrastructures significantly to accommodate the escalating demands. However, this proliferation of connectivity has also opened new avenues for cyber threats, emphasizing the critical need for Intrusion Detection Systems (IDSs) to adapt and operate efficiently in this evolving landscape. In response, companies are increasingly seeking IDSs characterized by horizontal, modular, and elastic attributes, capable of dynamically scaling with the fluctuating volume of network data flows deemed essential for effective monitoring and threat detection. Yet, the task extends beyond mere data capture and storage; robust IDSs must integrate sophisticated components for data analysis and anomaly detection, ideally functioning in real-time or near real-time. While Machine Learning (ML) techniques present promising avenues for detecting and mitigating malicious activities, their efficacy hinges on the availability of high-quality training datasets, which in turn poses a significant challenge. This paper proposes a comprehensive solution in the form of an architecture and reference implementation for (near) real-time capture, storage, and analysis of network data within a 1 Gbps network environment. Performance benchmarks provided offer valuable insights for prototype optimization, demonstrating the capability of the proposed IDS architecture to meet objectives even under realistic operational scenarios.

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Section: Persistent Storagementioning

confidence: 99%

Parameterization and Performance Analysis of a Scalable, near Real-Time Packet Capturing Platform

Oliveira,

Pedrosa,

Rufino

et al. 2024

Systems

View full text Add to dashboard Cite

show abstract

“…Accordingly, many research papers and commercial products related to software-defined storage have been proposed. Yang et al [19] proposed an integrated storage service. They used the open source software-OpenStack [20] to build and manage cloud services, and also used software to integrate storage resources, including Hadoop HDFS, Ceph and Swift on Open Stack to achieve an SDS design.…”

Section: Related Workmentioning

confidence: 99%

“…Software users can integrate different storage devices to provide an integrated storage array and to build a virtual storage pool, such that the services provided for users are not limited by the storage devices. Our work primarily follows the concepts in [19], but we improve the system architecture and propose a mechanism to store data efficiently. In addition, we provide a new and more friendly user interface.…”

Section: Related Workmentioning

confidence: 99%

On construction of a cloud storage system with heterogeneous software-defined storage technologies

Yang

Hsu

Chan

et al. 2019

Hum. Cent. Comput. Inf. Sci.

Self Cite

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In the last decade, cloud computing has attracted more and more attentions in both industry and academia [1-8]. It deeply changed people's lives due to its inherent advantages, such as on-demand self-service, resource pooling and rapid resource elasticity, etc.. With the services provided by cloud computing, users can upload their requirements via the Internet to a cloud environment and receive responses following postprocessing in the cloud environment. Among these services, cloud storage service is one of the important and indispensable services [9-12]. Cloud storage makes data storage a service in which data is outsourced to a cloud server maintained by a cloud provider. With the service, data could be stored remotely into the cloud efficiently and safely. Thus, this service attracts many people, especially enterprises, due to that it brings appealing benefits, e.g., avoidance of capital expenditure on hardware and software, relief of the burden for storage management, etc. [13-15].

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Software-Defined Storage Performance Testing Using Mininet

Bagde,

Pawar

2024

Lecture Notes in Electrical Engineering

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Implementation of a Software-Defined Storage Service with Heterogeneous Storage Technologies

Cited by 11 publications

References 8 publications

Parameterization and Performance Analysis of a Scalable, near Real-Time Packet Capturing Platform

Parameterization and Performance Analysis of a Scalable, near Real-Time Packet Capturing Platform

On construction of a cloud storage system with heterogeneous software-defined storage technologies

Software-Defined Storage Performance Testing Using Mininet

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