• Title/Summary/Keyword: Cloud Network

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Cloud Radio Access Network: Virtualizing Wireless Access for Dense Heterogeneous Systems

  • Simeone, Osvaldo;Maeder, Andreas;Peng, Mugen;Sahin, Onur;Yu, Wei
    • Journal of Communications and Networks
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    • v.18 no.2
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    • pp.135-149
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    • 2016
  • Cloud radio access network (C-RAN) refers to the virtualization of base station functionalities by means of cloud computing. This results in a novel cellular architecture in which low-cost wireless access points, known as radio units or remote radio heads, are centrally managed by a reconfigurable centralized "cloud", or central, unit. C-RAN allows operators to reduce the capital and operating expenses needed to deploy and maintain dense heterogeneous networks. This critical advantage, along with spectral efficiency, statistical multiplexing and load balancing gains, make C-RAN well positioned to be one of the key technologies in the development of 5G systems. In this paper, a succinct overview is presented regarding the state of the art on the research on C-RAN with emphasis on fronthaul compression, baseband processing, medium access control, resource allocation, system-level considerations and standardization efforts.

A study on Cloud Security based on Network Virtualization (네트워크 가상화 기반 클라우드 보안 구성에 관한 연구)

  • Sang-Beom Hong;Sung-Cheol Kim;Mi-Hwa Lee
    • Convergence Security Journal
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    • v.23 no.5
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    • pp.21-27
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    • 2023
  • In the cloud computing environment, servers and applications can be set up within minutes, and recovery in case of fail ures has also become easier. Particularly, using virtual servers in the cloud is not only convenient but also cost-effective compared to the traditional approach of setting up physical servers just for temporary services. However, most of the und erlying networks and security systems that serve as the foundation for such servers and applications are primarily hardwa re-based, posing challenges when it comes to implementing cloud virtualization. Even within the cloud, there is a growing need for virtualization-based security and protection measures for elements like networks and security infrastructure. This paper discusses research on enhancing the security of cloud networks using network virtualization technology. I configured a secure network by leveraging virtualization technology, creating virtual servers and networks to provide various security benefits. Link virtualization and router virtualization were implemented to enhance security, utilizing the capabilities of virt ualization technology. The application of virtual firewall functionality to the configured network allowed for the isolation of the network. It is expected that based on these results, there will be a contribution towards overcoming security vulnerabil ities in the virtualized environment and proposing a management strategy for establishing a secure network.

Applying the Graphic Processing Unit Based Cloud Computing in Cellular Network (그래픽 처리장치 기반 클라우드 컴퓨팅의 셀룰러 네트워크 응용)

  • Kim, June;Choi, Seung Won
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.8 no.3
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    • pp.75-85
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    • 2012
  • In general, cellular network is deployed as distributed network architecture, so network equipment is spread out all over the coverage area. This case causes high cost. Recently, centralized network architecture has been deployable at cellular network since base station was able to be virtualized due to advance in computing power. The centralized network architecture in cellular network adjusts its cell radius dynamically and minimizes power consumption of the network. This paper introduces a new centralized deployment way of cellular network using SDR and cloud computing technology. Then, advantage and feasibility of the new network will be reviewed by implementing this novel network.

Secure Data Sharing in The Cloud Through Enhanced RSA

  • Islam abdalla mohamed;Loay F. Hussein;Anis Ben Aissa;Tarak kallel
    • International Journal of Computer Science & Network Security
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    • v.23 no.2
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    • pp.89-95
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    • 2023
  • Cloud computing today provides huge computational resources, storage capacity, and many kinds of data services. Data sharing in the cloud is the practice of exchanging files between various users via cloud technology. The main difficulty with file sharing in the public cloud is maintaining privacy and integrity through data encryption. To address this issue, this paper proposes an Enhanced RSA encryption schema (ERSA) for data sharing in the public cloud that protects privacy and strengthens data integrity. The data owners store their files in the cloud after encrypting the data using the ERSA which combines the RSA algorithm, XOR operation, and SHA-512. This approach can preserve the confidentiality and integrity of a file in any cloud system while data owners are authorized with their unique identities for data access. Furthermore, analysis and experimental results are presented to verify the efficiency and security of the proposed schema.

A Coordinated Heuristic Approach for Virtual Network Embedding in Cloud Infrastructure

  • Nia, Nahid Hamzehee;Adabi, Sepideh;Nategh, Majid Nikougoftar
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.5
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    • pp.2346-2361
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    • 2017
  • A major challenge in cloud infrastructure is the efficient allocation of virtual network elements on top of substrate network elements. Path algebra is a mathematical framework which allows the validation and convergence analysis of the mono-constraint or multi-constraint routing problems independently of the network topology or size. The present study proposes a new heuristic approach based on mathematical framework "paths algebra" to map virtual nodes and links to substrate nodes and paths in cloud. In this approach, we define a measure criterion to rank the substrate nodes, and map the virtual nodes to substrate nodes according to their ranks by using a greedy algorithm. In addition, considering multi-constraint routing in virtual link mapping stage, the used paths algebra framework allows a more flexible and extendable embedding. Obtained results of simulations show appropriate improvement in acceptance ratio of virtual networks and cost incurred by the infrastructure networks.

A Hybrid Cloud Testing System Based on Virtual Machines and Networks

  • Chen, Jing;Yan, Honghua;Wang, Chunxiao;Liu, Xuyan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.4
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    • pp.1520-1542
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    • 2020
  • Traditional software testing typically uses many physical resources to manually build various test environments, resulting in high resource costs and long test time due to limited resources, especially for small enterprises. Cloud computing can provide sufficient low-cost virtual resources to alleviate these problems through the virtualization of physical resources. However, the provision of various test environments and services for implementing software testing rapidly and conveniently based on cloud computing is challenging. This paper proposes a multilayer cloud testing model based on cloud computing and implements a hybrid cloud testing system based on virtual machines (VMs) and networks. This system realizes the automatic and rapid creation of test environments and the remote use of test tools and test services. We conduct experiments on this system and evaluate its applicability in terms of the VM provision time, VM performance and virtual network performance. The experimental results demonstrate that the performance of the VMs and virtual networks is satisfactory and that this system can improve the test efficiency and reduce test costs through rapid virtual resource provision and convenient test services.

STRIDE and HARM Based Cloud Network Vulnerability Detection Scheme (STRIDE 및 HARM 기반 클라우드 네트워크 취약점 탐지 기법)

  • Jo, Jeong-Seok;Kwak, Jin
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.29 no.3
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    • pp.599-612
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    • 2019
  • Cloud networks are used to provide various services. As services are increasingly deployed using cloud networks, there are a number of resources in the cloud that leverage a variety of environments and protocols. However, there is a security intrusion on these resources, and research on cloud network vulnerability detection is required as threats to cloud resources emerge. In this paper, we propose a vulnerability detection scheme using STRIDE and HARM for vulnerability detection of resources utilizing various environments and protocols, and present cloud network vulnerability detection scheme through vulnerability detection scenario composition.

Proposal of Network Security Solution based on Software Definition Perimeter for Secure Cloud Environment (안전한 클라우드 환경을 위한 소프트웨어 정의 경계 기반의 네트워크 보안 솔루션 제안)

  • Cha, Wuk-Jae;Shin, Jae-In;Lee, Dong-Bum;Kim, Hyeob;Lee, Dae-Hyo
    • Journal of the Korea Convergence Society
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    • v.9 no.12
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    • pp.61-68
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    • 2018
  • As the smartphone and mobile environment develop, the time and space constraints for individual work performance are disappearing. Companies can reduce costs and expand their business quickly through cloud computing. As the use of various cloud expands, the boundaries of users, data, and applications are disappearing. Traditional security approaches based on boundaries (Perimeter) are losing their utility in the cloud environment. This paper describes the limitations of existing network access control (NAC) in a cloud environment and suggests network security technology that complements it. The study explains the SDP and combines SDP(Software Defined Perimeter) to overcome the limitations of NAC, while at the same time explaining its role as a new framework for supporting the cloud environment. The new framework proposed in this paper suggests a software-based network security solution that supports physical and software parts, providing identity-based access control, encrypted segment management, and dynamic policy management, not IP-based.

Study on the Job Execution Time of Mobile Cloud Computing (모바일 클라우드 컴퓨팅의 작업 실행 시간에 대한 연구)

  • Jung, Sung Min;Kim, Tae Kyung
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.8 no.1
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    • pp.99-105
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    • 2012
  • Given the numbers of smartphones, tablets and other mobile devices shipped every day, more and more users are relying on the cloud as the main driver for satisfying their computing needs, whether it is data storage, applications or infrastructure. Mobile cloud computing is simply cloud computing in which at least some of the devices involved are mobile. Each node is owned by a different user and is likely to be mobile. Using mobile hardware for cloud computing has advantages over using traditional hardware. These advantage include computational access to multimedia and sensor data without the need for large network transfer, more efficient access to data stored on other mobile devices and distributed ownership and maintenance of hardware. It is important to predict job execution time in mobile cloud computing because there are many mobile nodes with different capabilities. This paper analyzes the job execution time for mobile cloud computing in terms of network environment and heterogeneous mobile nodes using a mathematical model.

An Intelligent Machine Learning Inspired Optimization Algorithm to Enhance Secured Data Transmission in IoT Cloud Ecosystem

  • Ankam, Sreejyothsna;Reddy, N.Sudhakar
    • International Journal of Computer Science & Network Security
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    • v.22 no.6
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    • pp.83-90
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    • 2022
  • Traditional Cloud Computing would be unable to safely host IoT data due to its high latency as the number of IoT sensors and physical devices accommodated on the Internet grows by the day. Because of the difficulty of processing all IoT large data on Cloud facilities, there hasn't been enough research done on automating the security of all components in the IoT-Cloud ecosystem that deal with big data and real-time jobs. It's difficult, for example, to build an automatic, secure data transfer from the IoT layer to the cloud layer, which incorporates a large number of scattered devices. Addressing this issue this article presents an intelligent algorithm that deals with enhancing security aspects in IoT cloud ecosystem using butterfly optimization algorithm.