• Title/Summary/Keyword: Cloud Platform Service

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Development of Open IoT platform based on Open Source Hardware & Cloud Service (오픈소스 하드웨어와 클라우드 서비스 기반의 개방형 IoT 플랫폼 구축)

  • Ryu, Dae-Hyun;Choi, Tae-Wan
    • The Journal of the Korea institute of electronic communication sciences
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    • v.11 no.5
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    • pp.485-490
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    • 2016
  • The era of IoT in which all objects are intelligent and are connected to the internet has been started. In order to establish and activate an IoT eco system, open IoT services platform is very important. In this paper, we develop an open IoT services platform and verified the function by building a testbed. Our platform based on the open source hardware and commercial cloud services such as AWS which is a component of an open service IoT platform.

DRM Market System for Cloud-based Media Service Platform (클라우드 기반 미디어 서비스 플랫폼을 위한 DRM 마켓 시스템)

  • Cho, Dueckyoun;Hwang, Seogchan;Jeong, Gunho
    • Journal of Korea Multimedia Society
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    • v.20 no.6
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    • pp.918-926
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    • 2017
  • Various types of media services are emerging due to the development of Internet and digital media production and distribution technologies. Various DRM technologies are being developed to prevent illegal copying of media contents and to protect the rights of content creators. There is a problem that the DRM provider and the content service provider must provide services in a mutually dependent manner through individual contracts. In this paper, we propose a cloud-based DRM market system which can be used only by content service providers when necessary for various DRM. The DRM market system is expected to show the effect of service activation for related small and medium sized companies by providing an interface that satisfies the requirements of DRM providers and contents service providers by using multi DRM technology.

A Design of Broker Platform for a services interoperability on the collaboration cloud

  • Jung, Kyedong;Hwang, Chigon;Shin, Hyoyoung;Lee, Jongyong
    • International Journal of Internet, Broadcasting and Communication
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    • v.7 no.1
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    • pp.70-74
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    • 2015
  • The cloud computing are provided various ways for accessing resources and services through collaboration. In this paper, we present a cloud computing model for collaboration in cloud environment. By introducing a model, it is possible to introduce and develop an application required for the database and business services. SaaS model can be applied overall or partially. In particular, business operations need various software. Since cost reduction and applying immediate service are available, it is possible to realize the business environment and high quality service.

Qualitative Study on Service Features for Cloud Computing (클라우드 컴퓨팅의 서비스 특성에 관한 질적연구)

  • Ra, Jong-Hei
    • Journal of Digital Contents Society
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    • v.12 no.3
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    • pp.319-327
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    • 2011
  • Cloud computing is the probated transmission-platform that provide the enterprise or individual with efficient and cost-effective IT service on internet. Cloud computing serve as data or computing is moved from desktop or portable PC to the massive data center. Searching for the services offered by cloud computing indicates that their current service feature needs to be improved to satisfy current and future customers. This study attempted to satisfy this need by identifying the service's features for the cloud computing service environment through qualitative approaches. Finally, we classify into seven features(Security, Reliability, Availability, Inter-operating, Economic, Intellectual Property) of cloud computing service.

Isolation Schemes of Virtual Network Platform for Cloud Computing

  • Ahn, SungWon;Lee, ShinHyoung;Yoo, SeeHwan;Park, DaeYoung;Kim, Dojung;Yoo, Chuck
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.6 no.11
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    • pp.2764-2783
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    • 2012
  • Network virtualization supports future Internet environments and cloud computing. Virtualization can mitigate many hardware restrictions and provide variable network topologies to support variable cloud services. Owing to several advantages such as low cost, high flexibility, and better manageability, virtualization has been widely adopted for use in network virtualization platforms. Among the many issues related to cloud computing, to achieve a suitable cloud service quality we specifically focus on network and performance isolation schemes, which ensure the integrity and QoS of each virtual cloud network. In this study, we suggest a virtual network platform that uses Xen-based virtualization, and implement multiple virtualized networks to provide variable cloud services on a physical network. In addition, we describe the isolation of virtual networks by assigning a different virtualized network ID (VLAN ID) to each network to ensure the integrity of the service contents. We also provide a method for efficiently isolating the performance of each virtual network in terms of network bandwidth. Our performance isolation method supports multiple virtual networks with different levels of service quality.

Open Cloud Platform Ecosystem Strategy Using the Container Orchestration Platform (컨테이너 자동편성 플랫폼을 활용한 개방형 클라우드 플랫폼 생태계 전략)

  • Jung, Ki-Bong;Hyun, Jae-Uk;Yoon, Hee-Geun;Kim, Eun-Ju
    • Informatization Policy
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    • v.26 no.3
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    • pp.90-106
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    • 2019
  • The cloud services market is growing rapidly from the on-premises environment to the cloud computing environment and the domestic cloud software market in Korea is expected to grow at a CAGR of around 15%. In Korea, research teams are providing open cloud platforms using open source software under the government taking the initiative, which intends to enhance the reliability and functionality of open cloud platforms, provide users with a world-class open cloud platform-based and developer-friendly environment that is managed on heterogeneous cloud infrastructure and supported by full-lifecycle management of application software. In this paper, we propose a method to utilize CaaS in the open cloud platform, through incorporating the platform with the container orchestration platform. Finally, by providing users with the application runtime and container runtime, it presents how the two platforms can coexist and cooperate in the same ecosystem.

Cloud-Based DRM Service Model for Secure Contents Service (안전한 콘텐츠 서비스를 위한 클라우드 기반 DRM 서비스 모델)

  • Lee, Hyejoo;Seo, Changho;Shin, Sang Uk
    • Journal of Digital Convergence
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    • v.10 no.10
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    • pp.465-473
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    • 2012
  • The mobile devices and cloud computing technology introduced new content services such as N-Screen service. The DRM techniques have been developed to support interoperability and multi-platform for new environment of content service. Nevertheless, it is still inconvenient for the consumers to purchase a new DRM-supported device or to migrate some purchased contents into new device due to the change of the subscription of service. Therefore, in this paper, cloud-based DRM model which is referred as DRMaaS (DRM-as-a-Service) model, is proposed to allow the consumer to freely use and move some DRM-protected contents in various smart devices regardless of subscription of service.

Survey and Prospective on Privacy Protection Methods on Cloud Platform Environment (클라우드 플랫폼 환경에서의 프라이버시 보호기법 연구 동향 및 전망)

  • Park, Tae-hwan;Lee, Ga-ram;Kim, Ho-won
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.27 no.5
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    • pp.1149-1155
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    • 2017
  • In these days, cloud environments such as cloud platforms, cloud services like Amazon AWS, IBM Bluemix are used in the Internet of Things for providing efficient services. These cloud platform environments have various security threats according to increasing of use, so the recent research results on cloud security and privacy protection technologies and related regimes and legislations are written in this paper and we suggest prospect of research on cloud platform environment security and privacy preserving.

Cloud Computing Platforms for Big Data Adoption and Analytics

  • Hussain, Mohammad Jabed;Alsadie, Deafallah
    • International Journal of Computer Science & Network Security
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    • v.22 no.2
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    • pp.290-296
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    • 2022
  • Big Data is a data analysis technology empowered by late advances in innovations and engineering. In any case, big data involves a colossal responsibility of equipment and handling assets, making reception expenses of big data innovation restrictive to little and medium estimated organizations. Cloud computing offers the guarantee of big data execution to little and medium measured organizations. Big Data preparing is performed through a programming worldview known as MapReduce. Normally, execution of the MapReduce worldview requires organized joined stockpiling and equal preparing. The computing needs of MapReduce writing computer programs are frequently past what little and medium measured business can submit. Cloud computing is on-request network admittance to computing assets, given by an external element. Normal arrangement models for cloud computing incorporate platform as a service (PaaS), software as a service (SaaS), framework as a service (IaaS), and equipment as a service (HaaS).

An Open Source Mobile Cloud Service: Geo-spatial Image Filtering Tools Using R (오픈소스 모바일 클라우드 서비스: R 기반 공간영상정보 필터링 사례)

  • Kang, Sanggoo;Lee, Kiwon
    • Spatial Information Research
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    • v.22 no.5
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    • pp.1-8
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    • 2014
  • Globally, mobile, cloud computing or big data are the recent marketable key terms. These trend technologies or paradigm in the ICT (Information Communication Technology) fields exert large influence on the most application fields including geo-spatial applications. Among them, cloud computing, though the early stage in Korea now, plays a important role as a platform for other trend technologies uses. Especially, mobile cloud, an integrated platform with mobile device and cloud computing can be considered as a good solution to overcome well known limitations of mobile applications and to provide more information processing functionalities to mobile users. This work is a case study to design and implement the mobile application system for geo-spatial image filtering processing operated on mobile cloud platform built using OpenStack and various open sources. Filtering processing is carried out using R environment, recently being recognized as one of big data analysis technologies. This approach is expected to be an element linking geo-spatial information for new service model development and the geo-spatial analysis service development using R.