Pub Date : 2020-08-01DOI: 10.1109/ICCSE49874.2020.9201837
Yun Guo, Hongge Zhao, Kai Wang, Min Li
This study contributed to our understanding of the mediating and moderating process through which students’ formative assessment was related to summative assessment results. A moderated mediation model was developed and tested in the context of a problem-based learning (PBL) programming course, in which formative assessment were classified as general performance, PBL performance and peer evaluation. We proposed that the effect of students’ general performance on summative assessment is mediated by their performance in PBL project, and the indirect effect of general performance on summative assessment is moderated by peer evaluation. Overall, data from 74 students enrolled in the PBL programming course were collected and the hypothesized model was supported. Furthermore, implications for practice and directions for future research were discussed.
{"title":"Formative and Summative Assessment in University Programming Course: Mediation of Problem-Based Learning and Moderation of Peer Evaluation","authors":"Yun Guo, Hongge Zhao, Kai Wang, Min Li","doi":"10.1109/ICCSE49874.2020.9201837","DOIUrl":"https://doi.org/10.1109/ICCSE49874.2020.9201837","url":null,"abstract":"This study contributed to our understanding of the mediating and moderating process through which students’ formative assessment was related to summative assessment results. A moderated mediation model was developed and tested in the context of a problem-based learning (PBL) programming course, in which formative assessment were classified as general performance, PBL performance and peer evaluation. We proposed that the effect of students’ general performance on summative assessment is mediated by their performance in PBL project, and the indirect effect of general performance on summative assessment is moderated by peer evaluation. Overall, data from 74 students enrolled in the PBL programming course were collected and the hypothesized model was supported. Furthermore, implications for practice and directions for future research were discussed.","PeriodicalId":350703,"journal":{"name":"2020 15th International Conference on Computer Science & Education (ICCSE)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127956688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-08-01DOI: 10.1109/ICCSE49874.2020.9201778
Simin Zeng
Computerized dynamic assessment is a new context for dynamic assessment in which the computer produces prompts to mediate learner behavior and measure learner abilities. This paper points out the problems existing in current computerized dynamic assessment research in second language education. A new computerized dynamic assessment system is designed based on evidence from learners. This paper argues that its innovative menu-based mediation system that provides individualized support enhances assessment effectiveness, learners development and their autonomy.
{"title":"Unlocking Individual Potential in Computerized Dynamic Assessment with an Evidence-driven Menu-based Mediation Mechanism","authors":"Simin Zeng","doi":"10.1109/ICCSE49874.2020.9201778","DOIUrl":"https://doi.org/10.1109/ICCSE49874.2020.9201778","url":null,"abstract":"Computerized dynamic assessment is a new context for dynamic assessment in which the computer produces prompts to mediate learner behavior and measure learner abilities. This paper points out the problems existing in current computerized dynamic assessment research in second language education. A new computerized dynamic assessment system is designed based on evidence from learners. This paper argues that its innovative menu-based mediation system that provides individualized support enhances assessment effectiveness, learners development and their autonomy.","PeriodicalId":350703,"journal":{"name":"2020 15th International Conference on Computer Science & Education (ICCSE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131736637","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-08-01DOI: 10.1109/ICCSE49874.2020.9201703
Zhiguo Shi, Jiming Chen, Shibo He
The Internet of Things (IoT) is gradually coming into daily life with the continuous innovation of our society. A large variety of IoT applications emerge and enhance the efficiency of traditional industries. With the booming of the IoT industry, the training of the IoT engineers and experts becomes more and more important. MOOC (Massive Open Online Course), as a new model of teaching in the 21st century, poses an efficient way in the IoT training system. We have investigated some popular MOOC platforms, among which the IoT-related online courses have attracted a lot of users’ attention and participation. We also found some deficiencies in these courses through deep studies. Specifically, these courses only focus on specific aspects of the whole IoT technology stack, and are not friendly to new beginners. Moreover, they mainly focus on pure theories while well-designed practice content is lacking to help the understanding of these theories.This paper presents a case study of IoT MOOC education, "DIY Smart House", implemented in Zhejiang University, China. The detailed course design are shown and the teaching effect are evaluated. The results show that, the teaching efficiency is significantly improved in the IoT training system with the help of online tools like IoT platforms.
随着社会的不断创新，物联网(IoT)逐渐进入人们的日常生活。各种各样的物联网应用层出不穷，提升了传统行业的效率。随着物联网产业的蓬勃发展，物联网工程师和专家的培养变得越来越重要。MOOC (Massive Open Online Course)作为21世纪的一种新型教学模式，为物联网培训体系提供了一条有效途径。我们调查了一些热门的MOOC平台，其中与物联网相关的在线课程吸引了大量用户的关注和参与。通过深入研究，我们也发现了这些课程的不足之处。具体来说，这些课程只关注整个物联网技术堆栈的特定方面，对新初学者并不友好。此外，它们主要侧重于纯理论，缺乏精心设计的实践内容来帮助理解这些理论。本文以浙江大学实施的物联网MOOC教育“DIY智能家居”为例进行了研究。给出了详细的课程设计，并对教学效果进行了评价。结果表明，借助物联网平台等在线工具，物联网培训系统的教学效率得到了显著提高。
{"title":"DIY Smart House : Exploration and Practice of IoT MOOC Education","authors":"Zhiguo Shi, Jiming Chen, Shibo He","doi":"10.1109/ICCSE49874.2020.9201703","DOIUrl":"https://doi.org/10.1109/ICCSE49874.2020.9201703","url":null,"abstract":"The Internet of Things (IoT) is gradually coming into daily life with the continuous innovation of our society. A large variety of IoT applications emerge and enhance the efficiency of traditional industries. With the booming of the IoT industry, the training of the IoT engineers and experts becomes more and more important. MOOC (Massive Open Online Course), as a new model of teaching in the 21st century, poses an efficient way in the IoT training system. We have investigated some popular MOOC platforms, among which the IoT-related online courses have attracted a lot of users’ attention and participation. We also found some deficiencies in these courses through deep studies. Specifically, these courses only focus on specific aspects of the whole IoT technology stack, and are not friendly to new beginners. Moreover, they mainly focus on pure theories while well-designed practice content is lacking to help the understanding of these theories.This paper presents a case study of IoT MOOC education, \"DIY Smart House\", implemented in Zhejiang University, China. The detailed course design are shown and the teaching effect are evaluated. The results show that, the teaching efficiency is significantly improved in the IoT training system with the help of online tools like IoT platforms.","PeriodicalId":350703,"journal":{"name":"2020 15th International Conference on Computer Science & Education (ICCSE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126440111","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-08-01DOI: 10.1109/ICCSE49874.2020.9201808
H. Zhou, Jian Li, J. Zhong
In this paper, two teaching methods are proposed as complementary of Problem-Based Learning methodology by practicing in Web application development pedagogy, these methods are "Problem Decomposition Method" for improving problem-solving skills and "One Problem with Multiple Solutions Method" for enhancing critical thinking abilities, both are explained with a case study. The outcomes show that students make great progress and proficiently solve a new web development problem by using these two methods, especially in coding aspects.
{"title":"Cultivating Personal Capabilities Based on Problem-Based Learning: A Practice in Web Development","authors":"H. Zhou, Jian Li, J. Zhong","doi":"10.1109/ICCSE49874.2020.9201808","DOIUrl":"https://doi.org/10.1109/ICCSE49874.2020.9201808","url":null,"abstract":"In this paper, two teaching methods are proposed as complementary of Problem-Based Learning methodology by practicing in Web application development pedagogy, these methods are \"Problem Decomposition Method\" for improving problem-solving skills and \"One Problem with Multiple Solutions Method\" for enhancing critical thinking abilities, both are explained with a case study. The outcomes show that students make great progress and proficiently solve a new web development problem by using these two methods, especially in coding aspects.","PeriodicalId":350703,"journal":{"name":"2020 15th International Conference on Computer Science & Education (ICCSE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126401922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-08-01DOI: 10.1109/ICCSE49874.2020.9201689
M. Wu, Hongge Zhao, Yun Guo
Due to the global outbreak of COVID-19, universities have postponed the commencement of 2020 spring semester and adopted online learning when students and staff are self-quarantined at home. In this paper, SAS(Self-Rating Anxiety Scale) was used to evaluate and analyze students’ anxiety in one of the Top 20 universities in China. A total of 3,611 valid questionnaires from 34 provincial administrative regions and Taiwan in China were collected. FP-Growth was used to mine association rules for the scores of each item in SAS. K-Means was adopted to divide all samples into three categories and analyze the scoring characteristics of each SAS item in each category. Based on BiLSTM, a Chinese sentiment analysis model was constructed to analyze the text data. The results show that the average scores of the forward scoring items were relatively high. For the anxious samples, there were fewer arms and legs tingling, arms and legs trembling and syncope. The main causes of anxiety among college students included online learning and epidemic diseases.
{"title":"Analysis of College Students’ psychological Anxiety and Its Causes under COVID-19","authors":"M. Wu, Hongge Zhao, Yun Guo","doi":"10.1109/ICCSE49874.2020.9201689","DOIUrl":"https://doi.org/10.1109/ICCSE49874.2020.9201689","url":null,"abstract":"Due to the global outbreak of COVID-19, universities have postponed the commencement of 2020 spring semester and adopted online learning when students and staff are self-quarantined at home. In this paper, SAS(Self-Rating Anxiety Scale) was used to evaluate and analyze students’ anxiety in one of the Top 20 universities in China. A total of 3,611 valid questionnaires from 34 provincial administrative regions and Taiwan in China were collected. FP-Growth was used to mine association rules for the scores of each item in SAS. K-Means was adopted to divide all samples into three categories and analyze the scoring characteristics of each SAS item in each category. Based on BiLSTM, a Chinese sentiment analysis model was constructed to analyze the text data. The results show that the average scores of the forward scoring items were relatively high. For the anxious samples, there were fewer arms and legs tingling, arms and legs trembling and syncope. The main causes of anxiety among college students included online learning and epidemic diseases.","PeriodicalId":350703,"journal":{"name":"2020 15th International Conference on Computer Science & Education (ICCSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125822563","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-08-01DOI: 10.1109/ICCSE49874.2020.9201695
Zhang Li, Z. Jie, Daming Huang
Introductory course in programming is difficult for novice programmers. Instructors have done a lot of research on factors affecting students improvement of their programming ability. Leveraging the learning platform and Online Judge system, we design a set of specific questions to evaluate students programming ability and create the user profile in multiple dimensions. Then we communicate with students on individual user profile at several designed time points so that students can understand their own programming ability development trend and the up-to-date ranking in the class. Further, we recommend personalized questions to conduct weakness-oriented programming ability training, resulting in their programming skills improvement in multiple dimensions. The machine learning algorithm is also used to predict the students who are at risk in passing the final exam. We hope that our comprehensive teaching aids solution can serve as a reference on top of which instructors can build their own solution by adding proper issues on demand to help the students, issue warnings to at-risk students in the class.
{"title":"Design and Implementation of Student Programming Profile-based Teaching Aids Solution in Introductory Programming Course","authors":"Zhang Li, Z. Jie, Daming Huang","doi":"10.1109/ICCSE49874.2020.9201695","DOIUrl":"https://doi.org/10.1109/ICCSE49874.2020.9201695","url":null,"abstract":"Introductory course in programming is difficult for novice programmers. Instructors have done a lot of research on factors affecting students improvement of their programming ability. Leveraging the learning platform and Online Judge system, we design a set of specific questions to evaluate students programming ability and create the user profile in multiple dimensions. Then we communicate with students on individual user profile at several designed time points so that students can understand their own programming ability development trend and the up-to-date ranking in the class. Further, we recommend personalized questions to conduct weakness-oriented programming ability training, resulting in their programming skills improvement in multiple dimensions. The machine learning algorithm is also used to predict the students who are at risk in passing the final exam. We hope that our comprehensive teaching aids solution can serve as a reference on top of which instructors can build their own solution by adding proper issues on demand to help the students, issue warnings to at-risk students in the class.","PeriodicalId":350703,"journal":{"name":"2020 15th International Conference on Computer Science & Education (ICCSE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126037773","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dynamic mathematics software (DMS) is widely used in teaching, which improves the efficiency of teaching and learning. How to evaluate DMS from a scientific perspective has become one of the problems in the integration of information technology and education. In this paper, based on user experience theories, we construct the evaluation model named CCEMS (clarity, credibility, efficiency, motivation and subject). Then, according to theories related of DMS, Delphi method and Analytic Hierarchy Process (AHP), we construct an evaluation index system of DMS. Finally, the system is applied into the Geometer’s Sketchpad (GSP) and NetPad to analyze their advantages and disadvantages. The results show that user experience score of NetPad is better than GSP, which indicates that NetPad can better meet the needs of users.
动态数学软件(DMS)在教学中得到了广泛的应用，提高了教学效率。如何从科学的角度评价DMS已成为信息技术与教育融合的问题之一。本文基于用户体验理论，构建了用户体验评价模型CCEMS (clarity, credibility, efficiency, motivation and subject)。然后，根据决策管理系统的相关理论，结合德尔菲法和层次分析法，构建了决策管理系统的评价指标体系。最后，将该系统应用于Geometer’s Sketchpad (GSP)和NetPad，分析两者的优缺点。结果表明，NetPad的用户体验评分优于GSP，说明NetPad能够更好地满足用户的需求。
{"title":"Research on the Evaluation of Dynamic Mathematics Software Based on User Experience","authors":"Jie Wang, Linjing Zhang, Chuanzhong Li, Ruiqi Cai, Wanwei Chen, Yongsheng Rao","doi":"10.1109/ICCSE49874.2020.9202400","DOIUrl":"https://doi.org/10.1109/ICCSE49874.2020.9202400","url":null,"abstract":"Dynamic mathematics software (DMS) is widely used in teaching, which improves the efficiency of teaching and learning. How to evaluate DMS from a scientific perspective has become one of the problems in the integration of information technology and education. In this paper, based on user experience theories, we construct the evaluation model named CCEMS (clarity, credibility, efficiency, motivation and subject). Then, according to theories related of DMS, Delphi method and Analytic Hierarchy Process (AHP), we construct an evaluation index system of DMS. Finally, the system is applied into the Geometer’s Sketchpad (GSP) and NetPad to analyze their advantages and disadvantages. The results show that user experience score of NetPad is better than GSP, which indicates that NetPad can better meet the needs of users.","PeriodicalId":350703,"journal":{"name":"2020 15th International Conference on Computer Science & Education (ICCSE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122481779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-08-01DOI: 10.1109/ICCSE49874.2020.9201672
Junjie Deng, Gege Luo, Caidan Zhao
Bearing fault signal detection plays a vital role in the industrial field, which directly affects the performance and safety of mechanical equipment. The application of CNN (convolutional neural network) for fault signal detection is an emerging method, but this method does not work well on one-dimensional data such as bearing fault signals, mainly because the features of the one-dimensional signal are not distinct compared to the image signal. Secondly, due to the limitation of the special situation, the data of the bearing signal is less, which makes it hard for the deep learning model to fit and converge well. To solve the above problems, this paper proposes a CNN based on improved softmax-loss (ISM-CNN). The constructed CNN can learn more subtle features from the bearing signals, thereby improving the accuracy of bearing signal classification. Besides, the algorithm proposed in this paper expands the training data set to a certain extent, so that the parameters of the ISM-CNN can be better fitted. We validate the effectiveness of the proposed algorithm on the CWRU open dataset and give ablation experiments to prove it. In the 97-category complex bearing signal generation scenario, the proposed algorithm achieves 95% accuracy.
{"title":"A New Bearing-Fault Classification Method Based on Deep Learning*","authors":"Junjie Deng, Gege Luo, Caidan Zhao","doi":"10.1109/ICCSE49874.2020.9201672","DOIUrl":"https://doi.org/10.1109/ICCSE49874.2020.9201672","url":null,"abstract":"Bearing fault signal detection plays a vital role in the industrial field, which directly affects the performance and safety of mechanical equipment. The application of CNN (convolutional neural network) for fault signal detection is an emerging method, but this method does not work well on one-dimensional data such as bearing fault signals, mainly because the features of the one-dimensional signal are not distinct compared to the image signal. Secondly, due to the limitation of the special situation, the data of the bearing signal is less, which makes it hard for the deep learning model to fit and converge well. To solve the above problems, this paper proposes a CNN based on improved softmax-loss (ISM-CNN). The constructed CNN can learn more subtle features from the bearing signals, thereby improving the accuracy of bearing signal classification. Besides, the algorithm proposed in this paper expands the training data set to a certain extent, so that the parameters of the ISM-CNN can be better fitted. We validate the effectiveness of the proposed algorithm on the CWRU open dataset and give ablation experiments to prove it. In the 97-category complex bearing signal generation scenario, the proposed algorithm achieves 95% accuracy.","PeriodicalId":350703,"journal":{"name":"2020 15th International Conference on Computer Science & Education (ICCSE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132817378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-08-01DOI: 10.1109/ICCSE49874.2020.9201785
Zhong Zong
The energy consumption generated by servers in task scheduling is an important part of the dynamic energy consumption of cloud computing systems. Saving energy and improving energy efficiency are important foundations for realizing green cloud computing systems. Under green cloud computing, this paper aims to reduce energy consumption and shorten task execution time. This paper combines genetic algorithm and ant colony algorithm to propose a dynamic fusion task-scheduling algorithm. Thereby reducing the energy consumption of cloud computing data centers and computing centers. The simulation results show that the proposed task scheduling algorithm can significantly reduce the time and total energy consumption of cloud computing system tasks.
{"title":"An Improvement of Task Scheduling Algorithms for Green Cloud Computing","authors":"Zhong Zong","doi":"10.1109/ICCSE49874.2020.9201785","DOIUrl":"https://doi.org/10.1109/ICCSE49874.2020.9201785","url":null,"abstract":"The energy consumption generated by servers in task scheduling is an important part of the dynamic energy consumption of cloud computing systems. Saving energy and improving energy efficiency are important foundations for realizing green cloud computing systems. Under green cloud computing, this paper aims to reduce energy consumption and shorten task execution time. This paper combines genetic algorithm and ant colony algorithm to propose a dynamic fusion task-scheduling algorithm. Thereby reducing the energy consumption of cloud computing data centers and computing centers. The simulation results show that the proposed task scheduling algorithm can significantly reduce the time and total energy consumption of cloud computing system tasks.","PeriodicalId":350703,"journal":{"name":"2020 15th International Conference on Computer Science & Education (ICCSE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133319452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-08-01DOI: 10.1109/ICCSE49874.2020.9201683
Dhanya Therese Jose, Antorweep Chakravorty, Chunming Rong
TOTEM: Token for controlled computation is a newly proposed framework that integrates blockchain with big data systems. This framework allows users to send the computational code towards the data and analyse instead of the conventional method of data analysis which required data to be sent across the network. The framework provides a TOTEM defined SDK for users to code according to the standard format and rules defined. TOTEM execute the user code within the data owner’s environment. Proper mechanisms are there to manage and prevent the malicious functions that may occur in the user code by defining a proper set of rules and putting constraints on the user computational code by introducing totem value. Authorised users are assigned with a predefined totem value and when the user submits the code the smart contract will estimate totem value for performing the user-submitted code. If the totem value is sufficient for the execution it will pass the code to the computational part of the framework. The customised computational part of the framework consists of a big data system such as Apache Hadoop and a new system that have a totem manager and updates to coordinate the controlled computation of the user code. In this paper, we discuss and demonstrate the proof of concept for the customised computational part of the framework.
TOTEM: Token for controlled computation是一个新提出的将区块链与大数据系统集成在一起的框架。该框架允许用户向数据发送计算代码并进行分析，而不是需要通过网络发送数据的传统数据分析方法。该框架提供了一个TOTEM定义的SDK，供用户根据定义的标准格式和规则进行编码。TOTEM在数据所有者的环境中执行用户代码。通过定义一组适当的规则并通过引入图腾值对用户计算代码施加约束，有适当的机制来管理和防止可能在用户代码中发生的恶意功能。授权用户被分配一个预定义的图腾值，当用户提交代码时，智能合约将估计执行用户提交代码的图腾值。如果图腾值足以执行，它将把代码传递给框架的计算部分。该框架的定制计算部分由一个大数据系统(如Apache Hadoop)和一个新系统组成，该系统具有图腾管理器和更新，以协调用户代码的受控计算。在本文中，我们讨论并演示了该框架的自定义计算部分的概念证明。
{"title":"Distributed computational framework in TOTEM architecture enabled by blockchain","authors":"Dhanya Therese Jose, Antorweep Chakravorty, Chunming Rong","doi":"10.1109/ICCSE49874.2020.9201683","DOIUrl":"https://doi.org/10.1109/ICCSE49874.2020.9201683","url":null,"abstract":"TOTEM: Token for controlled computation is a newly proposed framework that integrates blockchain with big data systems. This framework allows users to send the computational code towards the data and analyse instead of the conventional method of data analysis which required data to be sent across the network. The framework provides a TOTEM defined SDK for users to code according to the standard format and rules defined. TOTEM execute the user code within the data owner’s environment. Proper mechanisms are there to manage and prevent the malicious functions that may occur in the user code by defining a proper set of rules and putting constraints on the user computational code by introducing totem value. Authorised users are assigned with a predefined totem value and when the user submits the code the smart contract will estimate totem value for performing the user-submitted code. If the totem value is sufficient for the execution it will pass the code to the computational part of the framework. The customised computational part of the framework consists of a big data system such as Apache Hadoop and a new system that have a totem manager and updates to coordinate the controlled computation of the user code. In this paper, we discuss and demonstrate the proof of concept for the customised computational part of the framework.","PeriodicalId":350703,"journal":{"name":"2020 15th International Conference on Computer Science & Education (ICCSE)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133620029","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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