• Title/Summary/Keyword: Cloud Data Sharing

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Task Scheduling in Fog Computing - Classification, Review, Challenges and Future Directions

  • Alsadie, Deafallah
    • International Journal of Computer Science & Network Security
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    • v.22 no.4
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    • pp.89-100
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    • 2022
  • With the advancement in the Internet of things Technology (IoT) cloud computing, billions of physical devices have been interconnected for sharing and collecting data in different applications. Despite many advancements, some latency - specific application in the real world is not feasible due to existing constraints of IoT devices and distance between cloud and IoT devices. In order to address issues of latency sensitive applications, fog computing has been developed that involves the availability of computing and storage resources at the edge of the network near the IoT devices. However, fog computing suffers from many limitations such as heterogeneity, storage capabilities, processing capability, memory limitations etc. Therefore, it requires an adequate task scheduling method for utilizing computing resources optimally at the fog layer. This work presents a comprehensive review of different task scheduling methods in fog computing. It analyses different task scheduling methods developed for a fog computing environment in multiple dimensions and compares them to highlight the advantages and disadvantages of methods. Finally, it presents promising research directions for fellow researchers in the fog computing environment.

A Study on the Architecture of Cloud Hospital Information System for Small and Medium Sized Hospitals (중소형 병원의 클라우드 병원정보시스템 서비스 체계에 관한 연구)

  • Lee, Nan Kyung;Lee, Jong Ok
    • The Journal of Society for e-Business Studies
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    • v.20 no.3
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    • pp.89-112
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    • 2015
  • Recently, the business environment of healthcare has changed rapidly due to the entering the mobile era, the intensifying global competition, and the explosion of healthcare needs. Despite of necessity in expanding new IT-based medical services and investing IT resources to respond environmental changes, the small and medium sized hospitals could not realize these requirements due to the limited management resources. CHISSMH is designed and presented in this research to provide high valued clouding medical services with reasonable price. CHISMH is designed and presented in this research to provide high valued medical services with reasonable price through cloud computing. CHISME is designed to maximize resource pooling and sharing through the visualization. By doing so, Cloud Service provider could minimize maintenance cost of cloud data center, provide high level services with reasonable pay-per-use price. By doing so, Cloud Service provider could minimize maintenance cost of cloud data center, and could provide high level services with reasonable pay-per-use price. CHISME is expected to be base framework of cloud HIS services and be diffusion factor of cloud HIS services Operational experience in CHISSMH with 15 hospitals is analyzed and presented as well.

The Study on Forensic Techniques of Chromebook (크롬북 포렌식 기법에 관한 연구)

  • Yoon, Yeo-Kyung;Lee, Sang-Jin
    • Journal of Digital Forensics
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    • v.12 no.3
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    • pp.55-70
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    • 2018
  • With the diversification of mobile devices, the development of web technologies, and the popularization of the cloud, an internet-centric web OS that is not dependent on devices has become necessary. Chromebooks are mobile devices in the form of convertible laptops featuring a web OS developed by Google. These Web OS mobile devices have advantages of multi-user characteristics of the same device and storage and sharing of data through internet and cloud, but it is easy to collect and analyze evidence from the forensic point of view because of excellent security and easy destruction of evidence not. In this paper, we propose an evidence collection procedure and an analysis method considering the cloud environment by dividing the Chromebook, which is a web OS mobile device popularized in the future, into user and administrator modes.

Collaborative System based on Social using XMDR-DAI for Business Process in Mobile Cloud (모바일 클라우드 환경에서 비즈니스 프로세스를 위한 XMDR-DAI를 이용한 소셜 기반의 협업 시스템)

  • Lee, Jong-Sub;Moon, Seok-Jae
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.10
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    • pp.2331-2340
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    • 2015
  • In this paper, we propose a social-based collaboration systems for business process management in the mobile cloud. This XMDR-DAI is to provide services for data sharing and exchange between local systems that operate independently in a cloud environment, take charge of a social-based collaborative business process management. Social-based collaborative business processes are handled in a collision among a structure such as unit conversion, meaning conflict, and the schema mapping data resulting from the inner query. The conflict was resolved by mapping process which takes in each XMDR-DAI.

Study on Face recognition algorithm using the eye detection (눈 검출을 이용한 얼굴인식 알고리즘에 관한 연구)

  • Park, Byung-Joon;Kim, Ki-young;Kim, Sun-jib
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.8 no.6
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    • pp.491-496
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    • 2015
  • Cloud computing has emerged with promise to decrease the cost of server additional cost and expanding the data storage and ease for computer resource sharing and apply the new technologies. However, Cloud computing also raises many new security concerns due to the new structure of the cloud service models. Therefore, the secure user authentication is required when the user is using cloud computing. This paper, we propose the enhanced AdaBoost algorithm for access cloud security zone. The AdaBoost algorithm despite the disadvantage of not detect a face inclined at least 20, is widely used because of speed and responsibility. In the experimental results confirm that a face inclined at least 20 degrees tilted face was recognized. Using the FEI Face Database that can be used in research to obtain a result of 98% success rate of the algorithm perform. The 2% failed rate is due to eye detection error which is the people wearing glasses in the picture.

Role Based Smart Health Service Access Control in F2C environment (F2C 환경에서 역할 기반 스마트 헬스 서비스 접근 제어)

  • Mi Sun Kim;Kyung Woo Park;Jae Hyun Seo
    • Smart Media Journal
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    • v.12 no.7
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    • pp.27-42
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    • 2023
  • The development of cloud services and IoT technology has radically changed the cloud environment, and has evolved into a new concept called fog computing and F2C (fog-to-cloud). However, as heterogeneous cloud/fog layers are integrated, problems of access control and security management for end users and edge devices may occur. In this paper, an F2C-based IoT smart health monitoring system architecture was designed to operate a medical information service that can quickly respond to medical emergencies. In addition, a role-based service access control technology was proposed to enhance the security of user's personal health information and sensor information during service interoperability. Through simulation, it was shown that role-based access control is achieved by sharing role registration and user role token issuance information through blockchain. End users can receive services from the device with the fastest response time, and by performing service access control according to roles, direct access to data can be minimized and security for personal information can be enhanced.

Mutual Authentication and Key Establishment Mechanism for Secure Data Sharing in M2M Environment (M2M 환경에서 안전한 데이터 공유를 위한 상호인증 및 키 교환 기법)

  • Park, JungOh;Kim, Sangkun
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.15 no.4
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    • pp.33-41
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    • 2015
  • With rapid rise of virtualization technology from diverse types of cloud computing service, security problems such as data safety and reliability are the issues at stake. Since damage in virtualization layer of cloud service can cause damage on all host (user) tasks, Hypervisor that provides an environment for multiple virtual operating systems can be a target of attackers. This paper propose a security structure for protecting Hypervisor from hacking and malware infection.

Implementation of big web logs analyzer in estimating preferences for web contents (웹 컨텐츠 선호도 측정을 위한 대용량 웹로그 분석기 구현)

  • Choi, Eun Jung;Kim, Myuhng Joo
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.8 no.4
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    • pp.83-90
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    • 2012
  • With the rapid growth of internet infrastructure, World Wide Web is evolving recently into various services such as cloud computing, social network services. It simply go beyond the sharing of information. It started to provide new services such as E-business, remote control or management, providing virtual services, and recently it is evolving into new services such as cloud computing and social network services. These kinds of communications through World Wide Web have been interested in and have developed user-centric customized services rather than providing provider-centric informations. In these environments, it is very important to check and analyze the user requests to a website. Especially, estimating user preferences is most important. For these reasons, analyzing web logs is being done, however, it has limitations that the most of data to analyze are based on page unit statistics. Therefore, it is not enough to evaluate user preferences only by statistics of specific page. Because recent main contents of web page design are being made of media files such as image files, and of dynamic pages utilizing the techniques of CSS, Div, iFrame etc. In this paper, large log analyzer was designed and executed to analyze web server log to estimate web contents preferences of users. With mapreduce which is based on Hadoop, large logs were analyzed and web contents preferences of media files such as image files, sounds and videos were estimated.

REDUCING LATENCY IN SMART MANUFACTURING SERVICE SYSTEM USING EDGE COMPUTING

  • Vimal, S.;Jesuva, Arockiadoss S;Bharathiraja, S;Guru, S;Jackins, V.
    • Journal of Platform Technology
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    • v.9 no.1
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    • pp.15-22
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    • 2021
  • In a smart manufacturing environment, more and more devices are connected to the Internet so that a large volume of data can be obtained during all phases of the product life cycle. The large-scale industries, companies and organizations that have more operational units scattered among the various geographical locations face a huge resource consumption because of their unorganized structure of sharing resources among themselves that directly affects the supply chain of the corresponding concerns. Cloud-based smart manufacturing paradigm facilitates a new variety of applications and services to analyze a large volume of data and enable large-scale manufacturing collaboration. The manufacturing units include machinery that may be situated in different geological areas and process instances that are executed from different machinery data should be constantly managed by the super admin to coordinate the manufacturing process in the large-scale industries these environments make the manufacturing process a tedious work to maintain the efficiency of the production unit. The data from all these instances should be monitored to maintain the integrity of the manufacturing service system, all these data are computed in the cloud environment which leads to the latency in the performance of the smart manufacturing service system. Instead, validating data from the external device, we propose to validate the data at the front-end of each device. The validation process can be automated by script validation and then the processed data will be sent to the cloud processing and storing unit. Along with the end-device data validation we will implement the APM(Asset Performance Management) to enhance the productive functionality of the manufacturers. The manufacturing service system will be chunked into modules based on the functionalities of the machines and process instances corresponding to the time schedules of the respective machines. On breaking the whole system into chunks of modules and further divisions as required we can reduce the data loss or data mismatch due to the processing of data from the instances that may be down for maintenance or malfunction ties of the machinery. This will help the admin to trace the individual domains of the smart manufacturing service system that needs attention for error recovery among the various process instances from different machines that operate on the various conditions. This helps in reducing the latency, which in turn increases the efficiency of the whole system

A Fog-based IoT Service Interoperability System using Blockchain in Cloud Environment (클라우드 환경에서 블록체인을 이용한 포그 기반 IoT 서비스 상호운용 시스템)

  • Kim, Mi Sun;Park, Yong Suk;Seo, Jae Hyun
    • Smart Media Journal
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    • v.11 no.3
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    • pp.39-53
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    • 2022
  • Cloud of Things (CoT) can provide IoT applications with unlimited storage functions and processing power supported by cloud services. However, in a centralized cloud of things, it can create a single point of failure that can lead to bottleneck problems, outages of the CoT network. In this paper, to solve the problem of centralized cloud of things and interoperate between different service domains, we propose an IoT service interoperability system using distributed fog computing and blockchain technology. Distributed fog is used to provide real-time data processing and services in fog systems located at a geographically close distance to IoT devices, and to enable service interoperability between each fog using smart contracts and distributed ledgers of the blockchain. The proposed system provides services within a region close to the distributed fog entrusted with the service from the cloud, and it is possible to access the services of other fogs without going through the cloud even between fogs. In addition, by sharing a service right token issuance information between the cloud and fog nodes using a blockchain network, the integrity of the token can be guaranteed and reliable service interoperability between fog nodes can be performed.