Journal of cloud computing (Heidelberg, Germany)最新文献

Performance evaluation of publish-subscribe systems in IoT using energy-efficient and context-aware secure messages. 使用节能和上下文感知安全消息的物联网发布-订阅系统的性能评估。

IF 4

Journal of cloud computing (Heidelberg, Germany) Pub Date : 2022-01-01 Epub Date: 2022-01-31 DOI: 10.1186/s13677-022-00278-6

Norisvaldo Ferraz Junior, Anderson A A Silva, Adilson E Guelfi, Sergio T Kofuji

{"title":"Performance evaluation of publish-subscribe systems in IoT using energy-efficient and context-aware secure messages.","authors":"Norisvaldo Ferraz Junior, Anderson A A Silva, Adilson E Guelfi, Sergio T Kofuji","doi":"10.1186/s13677-022-00278-6","DOIUrl":"https://doi.org/10.1186/s13677-022-00278-6","url":null,"abstract":"Background: The Internet of Things (IoT) enables the development of innovative applications in various domains such as healthcare, transportation, and Industry 4.0. Publish-subscribe systems enable IoT devices to communicate with the cloud platform. However, IoT applications need context-aware messages to translate the data into contextual information, allowing the applications to act cognitively. Besides, end-to-end security of publish-subscribe messages on both ends (devices and cloud) is essential. However, achieving security on constrained IoT devices with memory, payload, and energy restrictions is a challenge.Contribution: Messages in IoT need to achieve both energy efficiency and secure delivery. Thus, the main contribution of this paper refers to a performance evaluation of a message structure that standardizes the publish-subscribe topic and payload used by the cloud platform and the IoT devices. We also propose a standardization for the topic and payload for publish-subscribe systems.Conclusion: The messages promote energy efficiency, enabling ultra-low-power and high-capacity devices and reducing the bytes transmitted in the IoT domain. The performance evaluation demonstrates that publish-subscribe systems (namely, AMQP, DDS, and MQTT) can use our proposed energy-efficient message structure on IoT. Additionally, the message system provides end-to-end confidentiality, integrity, and authenticity between IoT devices and the cloud platform.","PeriodicalId":520665,"journal":{"name":"Journal of cloud computing (Heidelberg, Germany)","volume":" ","pages":"6"},"PeriodicalIF":4.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8802267/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39756943","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Privacy-aware and Efficient Student Clustering for Sport Training with Hash in Cloud Environment. 云环境下基于哈希的运动训练隐私感知高效学生聚类。

IF 4

Journal of cloud computing (Heidelberg, Germany) Pub Date : 2022-01-01 Epub Date: 2022-09-28 DOI: 10.1186/s13677-022-00325-2

Guoyan Diao, Fang Liu, Zhikai Zuo, Mohammad Kazem Moghimi

{"title":"Privacy-aware and Efficient Student Clustering for Sport Training with Hash in Cloud Environment.","authors":"Guoyan Diao, Fang Liu, Zhikai Zuo, Mohammad Kazem Moghimi","doi":"10.1186/s13677-022-00325-2","DOIUrl":"https://doi.org/10.1186/s13677-022-00325-2","url":null,"abstract":"With the wide adoption of health and sport concepts in human society, how to effectively analyze the personalized sports preferences of students based on past sports training records has become a crucial and emergent task with positive research significance. However, the past sports training records of students are often accumulated with time and stored in a central cloud platform and therefore, the data volume is too large to be processed with quick response. In addition, the past sports training records of students often contain certain sensitive information, which probably discloses partial user privacy if we cannot protect the data well. Considering these two challenges, a privacy-aware and efficient student clustering approach, named PESC is proposed, which is based on a hash technique and deployed on a central cloud platform connecting multiple local servers. Concretely, in the cloud platform, each student is firstly assigned an index based on the past sports training records stored in a local server, through a uniform hash mapping operation. Then similar students are clustered and registered in the cloud platform based on the students' respective sport indexes. At last, we infer the personalized sport preferences of each student based on their belonged clusters. To prove the feasibility of PESC, we provide a case study and a set of experiments deployed on a time-aware dataset.","PeriodicalId":520665,"journal":{"name":"Journal of cloud computing (Heidelberg, Germany)","volume":" ","pages":"52"},"PeriodicalIF":4.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9517989/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"33487547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Anomaly detection in microservice environments using distributed tracing data analysis and NLP. 基于分布式跟踪数据分析和自然语言处理的微服务环境异常检测。

IF 4

Journal of cloud computing (Heidelberg, Germany) Pub Date : 2022-01-01 Epub Date: 2022-08-13 DOI: 10.1186/s13677-022-00296-4

Iman Kohyarnejadfard, Daniel Aloise, Seyed Vahid Azhari, Michel R Dagenais

{"title":"Anomaly detection in microservice environments using distributed tracing data analysis and NLP.","authors":"Iman Kohyarnejadfard, Daniel Aloise, Seyed Vahid Azhari, Michel R Dagenais","doi":"10.1186/s13677-022-00296-4","DOIUrl":"https://doi.org/10.1186/s13677-022-00296-4","url":null,"abstract":"In recent years DevOps and agile approaches like microservice architectures and Continuous Integration have become extremely popular given the increasing need for flexible and scalable solutions. However, several factors such as their distribution in the network, the use of different technologies, their short life, etc. make microservices prone to the occurrence of anomalous system behaviours. In addition, due to the high degree of complexity of small services, it is difficult to adequately monitor the security and behavior of microservice environments. In this work, we propose an NLP (natural language processing) based approach to detect performance anomalies in spans during a given trace, besides locating release-over-release regressions. Notably, the whole system needs no prior knowledge, which facilitates the collection of training data. Our proposed approach benefits from distributed tracing data to collect sequences of events that happened during spans. Extensive experiments on real datasets demonstrate that the proposed method achieved an F_score of 0.9759. The results also reveal that in addition to the ability to detect anomalies and release-over-release regressions, our proposed approach speeds up root cause analysis by means of implemented visualization tools in Trace Compass.","PeriodicalId":520665,"journal":{"name":"Journal of cloud computing (Heidelberg, Germany)","volume":" ","pages":"25"},"PeriodicalIF":4.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9375740/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40706592","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Private anomaly detection of student health conditions based on wearable sensors in mobile cloud computing. 基于移动云计算可穿戴传感器的学生健康状况私人异常检测。

IF 4

Journal of cloud computing (Heidelberg, Germany) Pub Date : 2022-01-01 Epub Date: 2022-09-05 DOI: 10.1186/s13677-022-00300-x

Yu Xie, Kuilin Zhang, Huaizhen Kou, Mohammad Jafar Mokarram

{"title":"Private anomaly detection of student health conditions based on wearable sensors in mobile cloud computing.","authors":"Yu Xie, Kuilin Zhang, Huaizhen Kou, Mohammad Jafar Mokarram","doi":"10.1186/s13677-022-00300-x","DOIUrl":"https://doi.org/10.1186/s13677-022-00300-x","url":null,"abstract":"With the continuous spread of COVID-19 virus, how to guarantee the healthy living of people especially the students who are of relative weak physique is becoming a key research issue of significant values. Specifically, precise recognition of the anomaly in student health conditions is beneficial to the quick discovery of potential patients. However, there are so many students in each school that the education managers cannot know about the health conditions of students in a real-time manner and accurately recognize the possible anomaly among students quickly. Fortunately, the quick development of mobile cloud computing technologies and wearable sensors has provided a promising way to monitor the real-time health conditions of students and find out the anomalies timely. However, two challenges are present in the above anomaly detection issue. First, the health data monitored by massive wearable sensors are often massive and updated frequently, which probably leads to high sensor-cloud transmission cost for anomaly detection. Second, the health data of students are often sensitive enough, which probably impedes the integration of health data in cloud environment even renders the health data-based anomaly detection infeasible. In view of these challenges, we propose a time-efficient and privacy-aware anomaly detection solution for students with wearable sensors in mobile cloud computing environment. At last, we validate the effectiveness and efficiency of our work via a set of simulated experiments.","PeriodicalId":520665,"journal":{"name":"Journal of cloud computing (Heidelberg, Germany)","volume":" ","pages":"38"},"PeriodicalIF":4.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9444123/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"33461885","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Cloud-based blockchain technology to identify counterfeits. 基于云的区块链技术识别假货。

IF 4

Journal of cloud computing (Heidelberg, Germany) Pub Date : 2022-01-01 Epub Date: 2022-10-20 DOI: 10.1186/s13677-022-00341-2

Vinodhini Mani, M Prakash, Wen Cheng Lai

{"title":"Cloud-based blockchain technology to identify counterfeits.","authors":"Vinodhini Mani, M Prakash, Wen Cheng Lai","doi":"10.1186/s13677-022-00341-2","DOIUrl":"https://doi.org/10.1186/s13677-022-00341-2","url":null,"abstract":"Multi-stakeholder and organizational involvement is an integral part of the medicine supply chain. Keeping track of the activities associated with medical products is difficult when the system is complex. Their complexity limits transparency and data provenance. Deficiencies within existing supply chains result in the counterfeiting of drugs, illegal imports, and inefficient operations. Due to these limitations, product integrity is compromised, resulting in product wastage. Visibility of the entire product supply chain is crucial for the pharmaceutical industry in terms of product safety and reduction of manufacturing costs. The Cloud-based Blockchain-powered architecture of the system provides a platform for addressing the need of pharma-material traceability, data storage, privacy of data, and quality assurance. This framework comprises of the identification of activities through tagging, information sharing in a secure environment; cloud-based storage using an off-chain Interplanetary File System (IPFS) and an on-chain couch DB; and access to this information that is controlled by the system's regulator. Electronic drug records will be accessed via a smart contract in Hyperledger Blockchain. The system assists in identifying false and cross-border products through the manufacturer and country of origin. A scan will identify counterfeit medications, showing that they are unauthorized products which may pose a risk to patients. Our experiments demonstrated the efficiency and usability of the design platform. Finally, we benchmarked the system using Hyperledger Caliper.","PeriodicalId":520665,"journal":{"name":"Journal of cloud computing (Heidelberg, Germany)","volume":" ","pages":"67"},"PeriodicalIF":4.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9583063/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40656589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Tourism cloud management system: the impact of smart tourism. 旅游云管理系统:智慧旅游的影响。

IF 4

Journal of cloud computing (Heidelberg, Germany) Pub Date : 2022-01-01 Epub Date: 2022-09-05 DOI: 10.1186/s13677-022-00316-3

Fang Yin, Xiong Yin, Jincheng Zhou, Xinli Zhang, Ruihua Zhang, Ebuka Ibeke, Marvellous GodsPraise Iwendi, Mohammad Shah

{"title":"Tourism cloud management system: the impact of smart tourism.","authors":"Fang Yin, Xiong Yin, Jincheng Zhou, Xinli Zhang, Ruihua Zhang, Ebuka Ibeke, Marvellous GodsPraise Iwendi, Mohammad Shah","doi":"10.1186/s13677-022-00316-3","DOIUrl":"https://doi.org/10.1186/s13677-022-00316-3","url":null,"abstract":"This study investigates the possibility of supporting tourists in a foreign land intelligently by using the Tourism Cloud Management System (TCMS) to enhance and better their tourism experience. Some technologies allow tourists to highlight popular tourist routes and circuits through the visualisation of data and sensor clustering approaches. With this, a tourist can access the shared data on a specific location to know the sites of famous local attractions, how other tourists feel about them, and how to participate in local festivities through a smart tourism model. This study surveyed the potential of smart tourism among tourists and how such technologies have developed over time while proposing a TCMS. Its goals were to make physical/paper tickets redundant via the introduction of a mobile app with eTickets that can be validated using camera and QR code technologies and to enhance the transport network using Bluetooth and GPS for real-time identification of tourists' presence. The results show that a significant number of participants engage in tourist travels, hence the need for smart tourism and tourist management. It was concluded that smart tourism is very appealing to tourists and can improve the appeal of the destination if smart solutions are implemented. This study gives a first-hand review of the preference of tourists and the potential of smart tourism.","PeriodicalId":520665,"journal":{"name":"Journal of cloud computing (Heidelberg, Germany)","volume":" ","pages":"37"},"PeriodicalIF":4.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9444116/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"33461886","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Software architecture for pervasive critical health monitoring system using fog computing. 使用雾计算的普适关键健康监测系统的软件体系结构。

IF 4

Journal of cloud computing (Heidelberg, Germany) Pub Date : 2022-01-01 Epub Date: 2022-11-30 DOI: 10.1186/s13677-022-00371-w

Abeera Ilyas, Mohammed Naif Alatawi, Yasir Hamid, Saeed Mahfooz, Islam Zada, Neelam Gohar, Mohd Asif Shah

{"title":"Software architecture for pervasive critical health monitoring system using fog computing.","authors":"Abeera Ilyas, Mohammed Naif Alatawi, Yasir Hamid, Saeed Mahfooz, Islam Zada, Neelam Gohar, Mohd Asif Shah","doi":"10.1186/s13677-022-00371-w","DOIUrl":"https://doi.org/10.1186/s13677-022-00371-w","url":null,"abstract":"Because of the existence of Covid-19 and its variants, health monitoring systems have become mandatory, particularly for critical patients such as neonates. However, the massive volume of real-time data generated by monitoring devices necessitates the use of efficient methods and approaches to respond promptly. A fog-based architecture for IoT healthcare systems tends to provide better services, but it also produces some issues that must be addressed. We present a bidirectional approach to improving real-time data transmission for health monitors by minimizing network latency and usage in this paper. To that end, a simplified approach for large-scale IoT health monitoring systems is devised, which provides a solution for IoT device selection of optimal fog nodes to reduce both communication and processing delays. Additionally, an improved dynamic approach for load balancing and task assignment is also suggested. Embedding the best practices from the IoT, Fog, and Cloud planes, our aim in this work is to offer software architecture for IoT-based healthcare systems to fulfill non-functional needs. 4 + 1 views are used to illustrate the proposed architecture.","PeriodicalId":520665,"journal":{"name":"Journal of cloud computing (Heidelberg, Germany)","volume":" ","pages":"84"},"PeriodicalIF":4.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9709376/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35252844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Big data analytics in Cloud computing: an overview. 云计算中的大数据分析:概述。

IF 4

Journal of cloud computing (Heidelberg, Germany) Pub Date : 2022-01-01 Epub Date: 2022-08-06 DOI: 10.1186/s13677-022-00301-w

Blend Berisha, Endrit Mëziu, Isak Shabani

{"title":"Big data analytics in Cloud computing: an overview.","authors":"Blend Berisha, Endrit Mëziu, Isak Shabani","doi":"10.1186/s13677-022-00301-w","DOIUrl":"https://doi.org/10.1186/s13677-022-00301-w","url":null,"abstract":"Big Data and Cloud Computing as two mainstream technologies, are at the center of concern in the IT field. Every day a huge amount of data is produced from different sources. This data is so big in size that traditional processing tools are unable to deal with them. Besides being big, this data moves fast and has a lot of variety. Big Data is a concept that deals with storing, processing and analyzing large amounts of data. Cloud computing on the other hand is about offering the infrastructure to enable such processes in a cost-effective and efficient manner. Many sectors, including among others businesses (small or large), healthcare, education, etc. are trying to leverage the power of Big Data. In healthcare, for example, Big Data is being used to reduce costs of treatment, predict outbreaks of pandemics, prevent diseases etc. This paper, presents an overview of Big Data Analytics as a crucial process in many fields and sectors. We start by a brief introduction to the concept of Big Data, the amount of data that is generated on a daily bases, features and characteristics of Big Data. We then delve into Big Data Analytics were we discuss issues such as analytics cycle, analytics benefits and the movement from ETL to ELT paradigm as a result of Big Data analytics in Cloud. As a case study we analyze Google's BigQuery which is a fully-managed, serverless data warehouse that enables scalable analysis over petabytes of data. As a Platform as a Service (PaaS) supports querying using ANSI SQL. We use the tool to perform different experiments such as average read, average compute, average write, on different sizes of datasets.","PeriodicalId":520665,"journal":{"name":"Journal of cloud computing (Heidelberg, Germany)","volume":" ","pages":"24"},"PeriodicalIF":4.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9362456/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40696915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 19

Efficient and scalable patients clustering based on medical big data in cloud platform. 基于云平台医疗大数据的高效可扩展患者聚类。

IF 4

Journal of cloud computing (Heidelberg, Germany) Pub Date : 2022-01-01 Epub Date: 2022-09-24 DOI: 10.1186/s13677-022-00324-3

Yongsheng Zhou, Majid Ghani Varzaneh

{"title":"Efficient and scalable patients clustering based on medical big data in cloud platform.","authors":"Yongsheng Zhou, Majid Ghani Varzaneh","doi":"10.1186/s13677-022-00324-3","DOIUrl":"https://doi.org/10.1186/s13677-022-00324-3","url":null,"abstract":"With the outbreak and popularity of COVID-19 pandemic worldwide, the volume of patients is increasing rapidly all over the world, which brings a big risk and challenge for the maintenance of public healthcare. In this situation, quick integration and analysis of the medical records of patients in a cloud platform are of positive and valuable significance for accurate recognition and scientific diagnosis of the healthy conditions of potential patients. However, due to the big volume of medical data of patients distributed in different platforms (e.g., multiple hospitals), how to integrate these data for patient clustering and analysis in a time-efficient and scalable manner in cloud platform is still a challenging task, while guaranteeing the capability of privacy-preservation. Motivated by this fact, a time-efficient, scalable and privacy-guaranteed patient clustering method in cloud platform is proposed in this work. At last, we demonstrate the competitive advantages of our method via a set of simulated experiments. Experiment results with competitive methods in current research literatures have proved the feasibility of our proposal.","PeriodicalId":520665,"journal":{"name":"Journal of cloud computing (Heidelberg, Germany)","volume":" ","pages":"49"},"PeriodicalIF":4.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9510253/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40391425","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

A systematic review of the purposes of Blockchain and fog computing integration: classification and open issues. 系统回顾区块链和雾计算集成的目的:分类和开放问题。

IF 4

Journal of cloud computing (Heidelberg, Germany) Pub Date : 2022-01-01 Epub Date: 2022-11-19 DOI: 10.1186/s13677-022-00353-y

Yehia Ibrahim Alzoubi, Asif Gill, Alok Mishra

{"title":"A systematic review of the purposes of Blockchain and fog computing integration: classification and open issues.","authors":"Yehia Ibrahim Alzoubi, Asif Gill, Alok Mishra","doi":"10.1186/s13677-022-00353-y","DOIUrl":"https://doi.org/10.1186/s13677-022-00353-y","url":null,"abstract":"The fog computing concept was proposed to help cloud computing for the data processing of Internet of Things (IoT) applications. However, fog computing faces several challenges such as security, privacy, and storage. One way to address these challenges is to integrate blockchain with fog computing. There are several applications of blockchain-fog computing integration that have been proposed, recently, due to their lucrative benefits such as enhancing security and privacy. There is a need to systematically review and synthesize the literature on this topic of blockchain-fog computing integration. The purposes of integrating blockchain and fog computing were determined using a systematic literature review approach and tailored search criteria established from the research questions. In this research, 181 relevant papers were found and reviewed. The results showed that the authors proposed the combination of blockchain and fog computing for several purposes such as security, privacy, access control, and trust management. A lack of standards and laws may make it difficult for blockchain and fog computing to be integrated in the future, particularly in light of newly developed technologies like quantum computing and artificial intelligence. The findings of this paper serve as a resource for researchers and practitioners of blockchain-fog computing integration for future research and designs.","PeriodicalId":520665,"journal":{"name":"Journal of cloud computing (Heidelberg, Germany)","volume":" ","pages":"80"},"PeriodicalIF":4.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9676739/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40722597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3