Pub Date : 2020-06-04DOI: 10.1504/ijguc.2020.10029841
M. Qu, Xianghu Wu, Yongchao Tao, Guannan Wang, Ziyu Dong
Most of the existing graph-based regression testing schemes aim at a given Unified Modelling Language (UML) graph and are not flexible in regression testing. This paper proposes a method of a universal UML for a variety of graphical model modifications, and obtains a UML graphics module structure modified regression testing must be retested, determined by the domain of influence analysis on the effect of UML modification on the graphical model test case generated range analysis, finally re-auto generate test cases. This method has been proved to have a high logical coverage rate. In order to fully consider all kinds of dependencies, it cannot limit the type modification of UML graphics, and has higher openness and comprehensiveness.
{"title":"Research on regression test method based on multiple UML graphic models","authors":"M. Qu, Xianghu Wu, Yongchao Tao, Guannan Wang, Ziyu Dong","doi":"10.1504/ijguc.2020.10029841","DOIUrl":"https://doi.org/10.1504/ijguc.2020.10029841","url":null,"abstract":"Most of the existing graph-based regression testing schemes aim at a given Unified Modelling Language (UML) graph and are not flexible in regression testing. This paper proposes a method of a universal UML for a variety of graphical model modifications, and obtains a UML graphics module structure modified regression testing must be retested, determined by the domain of influence analysis on the effect of UML modification on the graphical model test case generated range analysis, finally re-auto generate test cases. This method has been proved to have a high logical coverage rate. In order to fully consider all kinds of dependencies, it cannot limit the type modification of UML graphics, and has higher openness and comprehensiveness.","PeriodicalId":375871,"journal":{"name":"Int. J. Grid Util. Comput.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130567689","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 : 2020-06-04DOI: 10.1504/ijguc.2020.10029845
A. Dass, J. Prabhu
In today's world of technology, data has been playing an imperative role in many different technical areas. Data confidentiality, integrity and data security over internet from different media and applications have greater challenging tasks. Data generation from multimedia and IoT data is another biggest big data in internet now. When sensitive and confidential data are counterfeit by attacks this requires serious countermeasures for security and privacy. Many cryptographic techniques are used for multimedia and IoT but when massive data are developed there are more computational challenges. This paper proposes a new coherent encryption algorithm solving issue of IoT and multimedia big data. Handling huge data with the help of GPU is included in order to enhance the data processing more efficiently. The proposed algorithm is compared with other symmetric cryptographic algorithms based on architecture, flexibility, scalability, security level and also based on computational running time, throughput for both encryption and decryption process and avalanche effect.
{"title":"Hybrid coherent encryption scheme for multimedia big data management using cryptographic encryption methods","authors":"A. Dass, J. Prabhu","doi":"10.1504/ijguc.2020.10029845","DOIUrl":"https://doi.org/10.1504/ijguc.2020.10029845","url":null,"abstract":"In today's world of technology, data has been playing an imperative role in many different technical areas. Data confidentiality, integrity and data security over internet from different media and applications have greater challenging tasks. Data generation from multimedia and IoT data is another biggest big data in internet now. When sensitive and confidential data are counterfeit by attacks this requires serious countermeasures for security and privacy. Many cryptographic techniques are used for multimedia and IoT but when massive data are developed there are more computational challenges. This paper proposes a new coherent encryption algorithm solving issue of IoT and multimedia big data. Handling huge data with the help of GPU is included in order to enhance the data processing more efficiently. The proposed algorithm is compared with other symmetric cryptographic algorithms based on architecture, flexibility, scalability, security level and also based on computational running time, throughput for both encryption and decryption process and avalanche effect.","PeriodicalId":375871,"journal":{"name":"Int. J. Grid Util. Comput.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131246843","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 : 2020-06-04DOI: 10.1504/ijguc.2020.10029842
P. Jayalakshmi, R. Saravanan
Mobile ad hoc Network (MANET) consists of a group of mobile nodes and the communication among them is done without any supporting centralised structure. Routing in MANETs is a difficult because of their dynamic features such as high mobility, constrained bandwidth and link failures due to energy loss. The objective of this work is to implement an intelligent routing protocol by selecting efficient nodes for routing the information. To provide good throughput in the network, Ant Colony Optimisation (ACO) based enhanced energy-efficient intelligent routing is proposed. Selecting the best intermediate hop for intelligent routing includes ACO technique which greatly reduces the network delay and link failures by validating the coordinator nodes. Coordinator nodes are picked by validating their metrics and Best Coordinator Nodes (BCN) are selected among them as good intermediate hops for intelligent routing. The performance is evaluated for the proposed protocol and the metrics considered for evaluation are delivery and loss rate of sent data, throughput and lifetime of the network, delay and energy consumption.
{"title":"ACO-based enhanced energy-efficient intelligent routing protocol for MANET","authors":"P. Jayalakshmi, R. Saravanan","doi":"10.1504/ijguc.2020.10029842","DOIUrl":"https://doi.org/10.1504/ijguc.2020.10029842","url":null,"abstract":"Mobile ad hoc Network (MANET) consists of a group of mobile nodes and the communication among them is done without any supporting centralised structure. Routing in MANETs is a difficult because of their dynamic features such as high mobility, constrained bandwidth and link failures due to energy loss. The objective of this work is to implement an intelligent routing protocol by selecting efficient nodes for routing the information. To provide good throughput in the network, Ant Colony Optimisation (ACO) based enhanced energy-efficient intelligent routing is proposed. Selecting the best intermediate hop for intelligent routing includes ACO technique which greatly reduces the network delay and link failures by validating the coordinator nodes. Coordinator nodes are picked by validating their metrics and Best Coordinator Nodes (BCN) are selected among them as good intermediate hops for intelligent routing. The performance is evaluated for the proposed protocol and the metrics considered for evaluation are delivery and loss rate of sent data, throughput and lifetime of the network, delay and energy consumption.","PeriodicalId":375871,"journal":{"name":"Int. J. Grid Util. Comput.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123999309","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 : 2020-06-04DOI: 10.1504/ijguc.2020.10029849
Lin Cheng
In order to make the optimal decision of housing choice based on geomantic omen, the modern information technology in big data era is applied to confirm the relationship between the geomantic omen and housing choice. Firstly, geomantic theory and residential district planning decision are discussed. Secondly, the big data-mining algorithm based on grey relational theory is studied. Thirdly, the big data relational analysis algorithm is put forward. Finally, three resident districts are used as example to carry out the grey relational analysis for the geomantic theory and housing choice. The results verify the effectiveness of the big data-mining algorithm, the relational degree between the geomantic culture and the residential region can be obtained based on the proposed model.
{"title":"Research on relationship between geomantic omen and housing choice in big data era","authors":"Lin Cheng","doi":"10.1504/ijguc.2020.10029849","DOIUrl":"https://doi.org/10.1504/ijguc.2020.10029849","url":null,"abstract":"In order to make the optimal decision of housing choice based on geomantic omen, the modern information technology in big data era is applied to confirm the relationship between the geomantic omen and housing choice. Firstly, geomantic theory and residential district planning decision are discussed. Secondly, the big data-mining algorithm based on grey relational theory is studied. Thirdly, the big data relational analysis algorithm is put forward. Finally, three resident districts are used as example to carry out the grey relational analysis for the geomantic theory and housing choice. The results verify the effectiveness of the big data-mining algorithm, the relational degree between the geomantic culture and the residential region can be obtained based on the proposed model.","PeriodicalId":375871,"journal":{"name":"Int. J. Grid Util. Comput.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132609945","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 : 2020-05-08DOI: 10.1504/ijguc.2020.10028888
Mitali Bansal, S. K. Malik, S. K. Dhurandher, I. Woungang
Resource management is among the critical challenges in cloud computing since it can affect its performance, cost, and functionality. In this paper, a survey on policies and mechanisms for enhancing the resource management in cloud computing is proposed. From a performance perspective, several resource management schemes for cloud computing are investigated and qualitatively compared in terms of various different parameters such as performance, response time, scalability, pricing factor, throughput, and accuracy, providing some fundamental knowledge based for researchers in the cloud computing area. We also classified various cloud computing techniques based on various policies like capacity allocation, admission control, load balancing and energy optimisation. Further, we divided defined techniques on the basis of various parameters like low, medium, high time span time techniques, reliability, performance, availability to name a few.
{"title":"Policies and mechanisms for enhancing the resource management in cloud computing: a performance perspective","authors":"Mitali Bansal, S. K. Malik, S. K. Dhurandher, I. Woungang","doi":"10.1504/ijguc.2020.10028888","DOIUrl":"https://doi.org/10.1504/ijguc.2020.10028888","url":null,"abstract":"Resource management is among the critical challenges in cloud computing since it can affect its performance, cost, and functionality. In this paper, a survey on policies and mechanisms for enhancing the resource management in cloud computing is proposed. From a performance perspective, several resource management schemes for cloud computing are investigated and qualitatively compared in terms of various different parameters such as performance, response time, scalability, pricing factor, throughput, and accuracy, providing some fundamental knowledge based for researchers in the cloud computing area. We also classified various cloud computing techniques based on various policies like capacity allocation, admission control, load balancing and energy optimisation. Further, we divided defined techniques on the basis of various parameters like low, medium, high time span time techniques, reliability, performance, availability to name a few.","PeriodicalId":375871,"journal":{"name":"Int. J. Grid Util. Comput.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120946460","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 : 2020-04-24DOI: 10.1504/ijguc.2020.10028889
Jing Wang, A. K. Sangaiah, Wei Liu
Matrix factorisation is a one of the most popular techniques in recommendation systems. However, matrix factorisation still suffers from cold start problem and needs complicated computation. In this paper, we present a hybrid recommendation algorithm, which integrates user and item content information and matrix factorisation. First, based on user or item content information, biases of user or item can be evaluated in advance. Incorporating user and item biases into matrix factorisation model, we can obtain final prediction model. At last, momentum stochastic gradient descent method is used to optimise other parameters. Experimental results on a real data set have shown best performance of our algorithm in terms of MAE and RMSE when compared with other classical matrix factorisation recommendation algorithms.
{"title":"A hybrid collaborative filtering recommendation algorithm: integrating content information and matrix factorisation","authors":"Jing Wang, A. K. Sangaiah, Wei Liu","doi":"10.1504/ijguc.2020.10028889","DOIUrl":"https://doi.org/10.1504/ijguc.2020.10028889","url":null,"abstract":"Matrix factorisation is a one of the most popular techniques in recommendation systems. However, matrix factorisation still suffers from cold start problem and needs complicated computation. In this paper, we present a hybrid recommendation algorithm, which integrates user and item content information and matrix factorisation. First, based on user or item content information, biases of user or item can be evaluated in advance. Incorporating user and item biases into matrix factorisation model, we can obtain final prediction model. At last, momentum stochastic gradient descent method is used to optimise other parameters. Experimental results on a real data set have shown best performance of our algorithm in terms of MAE and RMSE when compared with other classical matrix factorisation recommendation algorithms.","PeriodicalId":375871,"journal":{"name":"Int. J. Grid Util. Comput.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114149029","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 : 2020-04-24DOI: 10.1504/ijguc.2020.10028890
L. Ogiela, M. Takizawa, U. Ogiela
This paper presents a new idea of cognitive systems dedicated to cloud computing. Especially presents backgrounds, introduction and description of service management procedures and algorithms dedicated to cloud computing and infrastructure. Cognitive methods based on semantic description and interpretation procedures. Described idea will be dedicated to secure service management procedures, especially in the cloud and fog stages. The proposed algorithms of cognitive service management will be presented and described by use of semantic aspects. Semantic analysis is used to extract meaning of analysed data. Also, in management processes is possible to analyse meaning aspects. These kinds of analysis can be used in different application areas. This paper presents services management protocols in the cloud and in the fog. In both of these stages is possible realised management procedure by application of secure methods and protocols. This paper presents the sharing techniques for data security in cloud computing.
{"title":"Classification of cognitive algorithms for managing services used in cloud computing","authors":"L. Ogiela, M. Takizawa, U. Ogiela","doi":"10.1504/ijguc.2020.10028890","DOIUrl":"https://doi.org/10.1504/ijguc.2020.10028890","url":null,"abstract":"This paper presents a new idea of cognitive systems dedicated to cloud computing. Especially presents backgrounds, introduction and description of service management procedures and algorithms dedicated to cloud computing and infrastructure. Cognitive methods based on semantic description and interpretation procedures. Described idea will be dedicated to secure service management procedures, especially in the cloud and fog stages. The proposed algorithms of cognitive service management will be presented and described by use of semantic aspects. Semantic analysis is used to extract meaning of analysed data. Also, in management processes is possible to analyse meaning aspects. These kinds of analysis can be used in different application areas. This paper presents services management protocols in the cloud and in the fog. In both of these stages is possible realised management procedure by application of secure methods and protocols. This paper presents the sharing techniques for data security in cloud computing.","PeriodicalId":375871,"journal":{"name":"Int. J. Grid Util. Comput.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124967308","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 : 2020-04-24DOI: 10.1504/ijguc.2020.10028894
João Ferreira, G. Callou, P. Maciel, D. Tutsch
For the overriding need of storing all the data that is produced by social networks, the increase in energy consumption by e-commerce and cloud computing demands critical attention. Parallel to this surge in the use of electricity there is a long held hope for a reduction in both financial and environmental costs. What is presented here, in order to optimise energy distribution infrastructures at the data centre, is the power-balancing algorithm (PLDA-D). In order to analyse energy flow models (EFMs), the PLDA-D bases itself on the Bellman and Ford-Fulkerson flow algorithms. Power efficiency, sustainability, and cost metrics of data centre infrastructures constitute the elements for EFM computation. The case study that follows analysed four power infrastructures to demonstrate practical applications for power reduction strategies. A 3.8% reduction in sustainability impact and operational costs is shown by the results obtained.
{"title":"An algorithm to optimise the energy distribution of data centre electrical infrastructures","authors":"João Ferreira, G. Callou, P. Maciel, D. Tutsch","doi":"10.1504/ijguc.2020.10028894","DOIUrl":"https://doi.org/10.1504/ijguc.2020.10028894","url":null,"abstract":"For the overriding need of storing all the data that is produced by social networks, the increase in energy consumption by e-commerce and cloud computing demands critical attention. Parallel to this surge in the use of electricity there is a long held hope for a reduction in both financial and environmental costs. What is presented here, in order to optimise energy distribution infrastructures at the data centre, is the power-balancing algorithm (PLDA-D). In order to analyse energy flow models (EFMs), the PLDA-D bases itself on the Bellman and Ford-Fulkerson flow algorithms. Power efficiency, sustainability, and cost metrics of data centre infrastructures constitute the elements for EFM computation. The case study that follows analysed four power infrastructures to demonstrate practical applications for power reduction strategies. A 3.8% reduction in sustainability impact and operational costs is shown by the results obtained.","PeriodicalId":375871,"journal":{"name":"Int. J. Grid Util. Comput.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130542758","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 : 2020-04-24DOI: 10.1504/ijguc.2020.10028885
Jie Yang, Tao Gao, Shengli Yuan, Heng Shi, Zhenlin Zhang
The stability control of maglev trains is one of the core problems in the research of maglev train technology and the realisation of this goal is of the great scientific value in the field of magnetic levitation. Based on this, the research on the suspension control strategy of single point maglev system is founded and the control strategy is verified by experiments on Magnetic Levitation Ball System (MLBS). Aiming at the structure of multi-group independent control system of maglev train suspension frame, in order to improve the overall stability control ability of the suspension frame, the coupling relationship between the subsystems is established by introducing the suspension response deviation compensator. Finally, the effect of single point suspension control system is discussed and the cooperative control of suspension frame is carried out on MATLAB. Simulation and analysis show that each subsystem has good anti-jamming ability and the suspension system realises the balanced and stable control under different interference signals, which provides a certain reference value for further study of maglev train suspension control.
{"title":"Research on hardware-in-the-loop simulation of single point suspension system based on fuzzy PID","authors":"Jie Yang, Tao Gao, Shengli Yuan, Heng Shi, Zhenlin Zhang","doi":"10.1504/ijguc.2020.10028885","DOIUrl":"https://doi.org/10.1504/ijguc.2020.10028885","url":null,"abstract":"The stability control of maglev trains is one of the core problems in the research of maglev train technology and the realisation of this goal is of the great scientific value in the field of magnetic levitation. Based on this, the research on the suspension control strategy of single point maglev system is founded and the control strategy is verified by experiments on Magnetic Levitation Ball System (MLBS). Aiming at the structure of multi-group independent control system of maglev train suspension frame, in order to improve the overall stability control ability of the suspension frame, the coupling relationship between the subsystems is established by introducing the suspension response deviation compensator. Finally, the effect of single point suspension control system is discussed and the cooperative control of suspension frame is carried out on MATLAB. Simulation and analysis show that each subsystem has good anti-jamming ability and the suspension system realises the balanced and stable control under different interference signals, which provides a certain reference value for further study of maglev train suspension control.","PeriodicalId":375871,"journal":{"name":"Int. J. Grid Util. Comput.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130432602","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 : 2020-04-24DOI: 10.1504/ijguc.2020.10028892
Eliza Gomes, M. Dantas, P. Plentz
The increased use of IoT has contributed to the popularisation of environments that monitor the daily activities and health of the elderly, children or people with disabilities. The requirements of these environments, such as low latency and rapid response, corroborate the usefulness of associating Fog Computing with healthcare environments since one of the advantages of Fog Computing is to provide low latency. Because of this, we propose the use of a hardware and software infrastructure capable of storing, processing and presenting monitoring data in real-time, based on Fog Computing paradigm. Additionally, we propose the structuring of sensors for the implementation of a simulated healthcare environment, as well as the processing logic for the presentation of results referring to the health of the user.
{"title":"A proposal for a healthcare environment with a real-time approach","authors":"Eliza Gomes, M. Dantas, P. Plentz","doi":"10.1504/ijguc.2020.10028892","DOIUrl":"https://doi.org/10.1504/ijguc.2020.10028892","url":null,"abstract":"The increased use of IoT has contributed to the popularisation of environments that monitor the daily activities and health of the elderly, children or people with disabilities. The requirements of these environments, such as low latency and rapid response, corroborate the usefulness of associating Fog Computing with healthcare environments since one of the advantages of Fog Computing is to provide low latency. Because of this, we propose the use of a hardware and software infrastructure capable of storing, processing and presenting monitoring data in real-time, based on Fog Computing paradigm. Additionally, we propose the structuring of sensors for the implementation of a simulated healthcare environment, as well as the processing logic for the presentation of results referring to the health of the user.","PeriodicalId":375871,"journal":{"name":"Int. J. Grid Util. Comput.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130775340","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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