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Int. J. Inf. Technol. Web Eng.最新文献

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Privacy-Preserving Orchestrated Web Service Composition with Untrusted Brokers 具有不可信代理的保护隐私的编排Web服务组合
Int. J. Inf. Technol. Web Eng. Pub Date : 2018-10-01 DOI: 10.4018/IJITWE.2018100105
Imen Khabou, M. Rouached, Alexandre Viejo, David Sánchez
{"title":"Privacy-Preserving Orchestrated Web Service Composition with Untrusted Brokers","authors":"Imen Khabou, M. Rouached, Alexandre Viejo, David Sánchez","doi":"10.4018/IJITWE.2018100105","DOIUrl":"https://doi.org/10.4018/IJITWE.2018100105","url":null,"abstract":"This article describes how by using web service composition to model different business processes is a usual tendency in the industry. More specifically, web service composition enables to separate a certain process in different activities that must be executed following a certain order. Each activity has its own set of inputs and outputs and is executed by a certain web service hosted by a service provider which can be completely independent. Among all the applications in which web service composition may be applied, this article focuses on a cloud-based scenario in which a business wishes to outsource the execution of a certain complex service in exchange for some economical compensation. It is for this reason, among the different composition approaches that exist in the literature, this article focuses on the orchestrated one, in which a broker coordinates the composition. One of the main issues of orchestrated systems is the fact that the broker receives and learns all the input data needed to perform the requested complex service. This behavior may represent a serious privacy problem depending on the nature of the business process to be executed. In this article, a new privacy-preserving orchestrated Web service composition system based on a symmetric searchable encryption primitive is proposed. The main target of this new scheme is to protect the privacy of the business that wish to outsource their operations using a cloud-based solution in which the broker is honest but curious, this is, this entity tries to analyze data and message flows in order to learn all the possible sensitive information from the rest of participants in the system.","PeriodicalId":222340,"journal":{"name":"Int. J. Inf. Technol. Web Eng.","volume":"219 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125696011","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}
引用次数: 2
Algorithm for Secure Hybrid Cloud Design Against DDoS Attacks 针对DDoS攻击的混合云安全设计算法
Int. J. Inf. Technol. Web Eng. Pub Date : 2018-10-01 DOI: 10.4018/IJITWE.2018100104
Akashdeep Bhardwaj, Sam Goundar
{"title":"Algorithm for Secure Hybrid Cloud Design Against DDoS Attacks","authors":"Akashdeep Bhardwaj, Sam Goundar","doi":"10.4018/IJITWE.2018100104","DOIUrl":"https://doi.org/10.4018/IJITWE.2018100104","url":null,"abstract":"This article describes how cloud computing has become a significant IT infrastructure in business, government, education, research, and service industry domains. Security of cloud-based applications, especially for those applications with constant inbound and outbound user traffic is important. It becomes of the utmost importance to secure the data flowing between the cloud application and user systems against cyber criminals who launch Denial of Service (DoS) attacks. Existing research related to cloud security focuses on securing the flow of information on servers or between networks but there is a lack of research to mitigate Distributed Denial of Service attacks on cloud environments as presented by Buyya et al. and Fachkha, et al. In this article, the authors propose an algorithm and a Hybrid Cloud-based Secure Architecture to mitigate DDoS attacks. By proposing a three-tier cloud infrastructure with a two-tier defense system for separate Network and Application layers, the authors show that DDoS attacks can be detected and blocked before reaching the infrastructure hosting the Cloud applications.","PeriodicalId":222340,"journal":{"name":"Int. J. Inf. Technol. Web Eng.","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125403517","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}
引用次数: 3
Mobile Apps Acceptability: A Meta-Analysis Model for Google Play 手机应用可接受性:Google Play的元分析模型
Int. J. Inf. Technol. Web Eng. Pub Date : 2018-10-01 DOI: 10.4018/IJITWE.2018100101
Usman Shehzaib, Javed Ferzund, Muhammad Asif
{"title":"Mobile Apps Acceptability: A Meta-Analysis Model for Google Play","authors":"Usman Shehzaib, Javed Ferzund, Muhammad Asif","doi":"10.4018/IJITWE.2018100101","DOIUrl":"https://doi.org/10.4018/IJITWE.2018100101","url":null,"abstract":"This article describes how the mobile app market is growing day by day. Mobile app stores have created the opportunity for the users to publicly provide feedback on mobile apps that they have installed or used. In this way, users are involved in the design and development of mobile apps, which was done by designers and developers before. Online user reviews are a useful source to know the user's perception about mobile apps and thus provide a way of co-value creation. This article is conducted to investigate the factors affecting the acceptability of mobile Apps. Main purpose of this article is to use online reviews for construction of a model instead of using existing acceptance theories. The model proposed in this research is based on the analysis of reviews and app information extracted from the Google Play Store. The ratings and number of installs are two key indicators of the popularity of an app. Other characteristics like price, category and size also influence the user's selection of an app. The findings showed the appropriateness of the proposed model and hypotheses for evaluating mobile apps acceptability and popularity. This article provides mobile app developers and marketers with an insight into the mobile app popularity and acceptability dynamics.","PeriodicalId":222340,"journal":{"name":"Int. J. Inf. Technol. Web Eng.","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130290493","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}
引用次数: 1
Resource Scheduling and Load Balancing Fusion Algorithm with Deep Learning Based on Cloud Computing 基于云计算的深度学习资源调度与负载均衡融合算法
Int. J. Inf. Technol. Web Eng. Pub Date : 2018-07-01 DOI: 10.4018/IJITWE.2018070104
Xiaojing Hou, Guozeng Zhao
{"title":"Resource Scheduling and Load Balancing Fusion Algorithm with Deep Learning Based on Cloud Computing","authors":"Xiaojing Hou, Guozeng Zhao","doi":"10.4018/IJITWE.2018070104","DOIUrl":"https://doi.org/10.4018/IJITWE.2018070104","url":null,"abstract":"With the wide application of the cloud computing, the contradiction between high energy cost and low efficiency becomes increasingly prominent. In this article, to solve the problem of energy consumption, a resource scheduling and load balancing fusion algorithm with deep learning strategy is presented. Compared with the corresponding evolutionary algorithms, the proposed algorithm can enhance the diversity of the population, avoid the prematurity to some extent, and have a faster convergence speed. The experimental results show that the proposed algorithm has the most optimal ability of reducing energy consumption of data centers.","PeriodicalId":222340,"journal":{"name":"Int. J. Inf. Technol. Web Eng.","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123984292","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}
引用次数: 11
Skipnet-Octree Based Indexing Technique for Cloud Database Management System 基于skinet -八叉树的云数据库管理系统索引技术
Int. J. Inf. Technol. Web Eng. Pub Date : 2018-07-01 DOI: 10.4018/IJITWE.2018070101
S. Malhotra, M. Doja, Bashir Alam, Mansaf Alam
{"title":"Skipnet-Octree Based Indexing Technique for Cloud Database Management System","authors":"S. Malhotra, M. Doja, Bashir Alam, Mansaf Alam","doi":"10.4018/IJITWE.2018070101","DOIUrl":"https://doi.org/10.4018/IJITWE.2018070101","url":null,"abstract":"This article describes how data indexing plays a very crucial role in query processing. Systems based on traditional indexes like B-tree, R-tree, Bitmap, inverted indexing techniques are not suitable for efficient query evaluation as these systems are based on simple key-value pair and used only for point queries. In cloud data repositories, point queries are not sufficient for query as a cloud consists of multidimensional data. For multidimensional query processing, many techniques have been developed. In this article, a dynamic double layer indexing structure with the help of a Skipnet overlay for global indexing and an Octree index technique for local indexing has been proposed. It has been concluded from the experiments that Skipnet-Octree performs better than the previous double-layer indexing technique for complex queries.","PeriodicalId":222340,"journal":{"name":"Int. J. Inf. Technol. Web Eng.","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128735143","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}
引用次数: 4
Research on O2O Platform and Promotion Algorithm of Sports Venues Based on Deep Learning Technique 基于深度学习技术的体育场馆O2O平台及推广算法研究
Int. J. Inf. Technol. Web Eng. Pub Date : 2018-07-01 DOI: 10.4018/IJITWE.2018070105
Kaiyan Han, Qin Wang
{"title":"Research on O2O Platform and Promotion Algorithm of Sports Venues Based on Deep Learning Technique","authors":"Kaiyan Han, Qin Wang","doi":"10.4018/IJITWE.2018070105","DOIUrl":"https://doi.org/10.4018/IJITWE.2018070105","url":null,"abstract":"In the era of big data, intelligent sports venues have a practical significance to provide personalized service for users and build up a platform for stadium management. This article proposes a new parallel big data promotion algorithm based on the latest achievements of big data analysis. The proposed algorithm calculates the optimal value by using the observed variables Y, the hidden variable data Z, the joint distribution P (Y, Z | θ) and distribution conditions P (Z | Y | θ). The experimental results show that the proposed algorithm has higher accuracy of big data analysis, and can serve the intelligent sports venues better.","PeriodicalId":222340,"journal":{"name":"Int. J. Inf. Technol. Web Eng.","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132904809","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}
引用次数: 5
Real-Time Streaming Data Analysis Using a Three-Way Classification Method for Sentimental Analysis 基于三向分类方法的实时流数据情感分析
Int. J. Inf. Technol. Web Eng. Pub Date : 2018-07-01 DOI: 10.4018/IJITWE.2018070107
Srinidhi Hiriyannaiah, G. Siddesh, K. Srinivasa
{"title":"Real-Time Streaming Data Analysis Using a Three-Way Classification Method for Sentimental Analysis","authors":"Srinidhi Hiriyannaiah, G. Siddesh, K. Srinivasa","doi":"10.4018/IJITWE.2018070107","DOIUrl":"https://doi.org/10.4018/IJITWE.2018070107","url":null,"abstract":"This article describes how recent advances in computing have led to an increase in the generation of data in fields such as social media, medical, power and others. With the rapid increase in internet users, social media has given power for sentiment analysis or opinion mining. It is a highly challenging task for storing, querying and analyzing such types of data. This article aims at providing a solution to store, query and analyze streaming data using Apache Kafka as the platform and twitter data as an example for analysis. A three-way classification method is proposed for sentimental analysis of twitter data that combines both the approaches for knowledge-based and machine-learning using three stages namely emotion classification, word classification and sentiment classification. The hybrid three-way classification approach was evaluated using a sample of five query strings on twitter and compared with existing emotion classifier, polarity classifier and Naïve Bayes classifier for sentimental analysis. The accuracy of the results of the proposed approach is superior when compared to existing approaches.","PeriodicalId":222340,"journal":{"name":"Int. J. Inf. Technol. Web Eng.","volume":"19 11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120957697","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}
引用次数: 3
Analysis and Development of Load Balancing Algorithms in Cloud Computing 云计算中负载均衡算法的分析与发展
Int. J. Inf. Technol. Web Eng. Pub Date : 2018-07-01 DOI: 10.4018/IJITWE.2018070103
Deepa Bura, Dr.Meeta Singh, P. Nandal
{"title":"Analysis and Development of Load Balancing Algorithms in Cloud Computing","authors":"Deepa Bura, Dr.Meeta Singh, P. Nandal","doi":"10.4018/IJITWE.2018070103","DOIUrl":"https://doi.org/10.4018/IJITWE.2018070103","url":null,"abstract":"This article describes how cloud computing utilizes the benefits of web engineering and its applications by improving the performance and reducing the load on cloud providers. As the cloud is one of the emerging technology in the field of computing, it is used to provide various services to the user through the internet. One of the major concerns in cloud computing is accessibility of cloud. For estimating the availability of cloud, various load balancing algorithms are deployed in data centers of the cloud environment. Load balancing is a technique that distributes a signal load across various computers for optimizing resource usage, reducing response time, etc. There are different load balancing algorithms, for performing the load distribution across various centers. This article analyses different load balancing algorithms and develop a new algorithm for efficient load balancing. The proposed load balancing algorithm utilizes the concepts of web engineering to prioritize the request of end user using parsing technique, which will assign the resources to the end users based on the priority set by the data centers.","PeriodicalId":222340,"journal":{"name":"Int. J. Inf. Technol. Web Eng.","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125151975","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}
引用次数: 7
A Deep Learning Solution for Multimedia Conference System Assisted by Cloud Computing 云计算辅助下的多媒体会议系统深度学习解决方案
Int. J. Inf. Technol. Web Eng. Pub Date : 2018-07-01 DOI: 10.4018/IJITWE.2018070106
Wei Zhang, Huiling Shi, Xinming Lu, Longquan Zhou
{"title":"A Deep Learning Solution for Multimedia Conference System Assisted by Cloud Computing","authors":"Wei Zhang, Huiling Shi, Xinming Lu, Longquan Zhou","doi":"10.4018/IJITWE.2018070106","DOIUrl":"https://doi.org/10.4018/IJITWE.2018070106","url":null,"abstract":"With the development of information technology, more and more people use multimedia conference system to communicate or work across regions. In this article, an ultra-reliable and low-latency solution based on Deep Learning and assisted by Cloud Computing for multimedia conference system, called UCCMCS, is designed and implemented. In UCCMCS, there are two-tiers in its data distribution structure which combines the advantages of cloud computing. And according to the requirements of ultra-reliability and low-latency, a bandwidth optimization model is proposed to improve the transmission efficiency of multimedia data so as to reduce the delay of the system. In order to improve the reliability of data distribution, the help of cloud computing node is used to carry out the retransmission of lost data. the experimental results show UCCMCS could improve the reliability and reduce the latency of the multimedia data distribution in multimedia conference system.","PeriodicalId":222340,"journal":{"name":"Int. J. Inf. Technol. Web Eng.","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114642828","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}
引用次数: 4
Energy Efficient Scheduling for Multiple Workflows in Cloud Environment 云环境下多工作流的节能调度
Int. J. Inf. Technol. Web Eng. Pub Date : 2018-07-01 DOI: 10.4018/IJITWE.2018070102
R. Garg, Neha Shukla
{"title":"Energy Efficient Scheduling for Multiple Workflows in Cloud Environment","authors":"R. Garg, Neha Shukla","doi":"10.4018/IJITWE.2018070102","DOIUrl":"https://doi.org/10.4018/IJITWE.2018070102","url":null,"abstract":"Cloud computing makes utility computing possible with pay as you go model. It virtualizes the systems by polling and sharing the resources, thus we need to handle more than one workflow at the same time. Workflow is the standard to represent compute intensive applications in scientific and engineering domain. Hence, in this article, the authors presented the scheduling heuristic for multiple workflows running parallel in the cloud environment with the aim to reduce the energy consumption as it is one of the major concerns of cloud data centers along with the execution performance. In the proposed approach, first clustering is performed to minimize the energy consumption and execution time during communication corresponding to precedence constraint tasks. Then cluster are scheduled is on the best available energy efficient resources. Finally, DVFS is applied in order to reduce energy consumption further when the nodes are in the idle and communication stage. The simulation has been performed on CloudSim and the results show the reduction in energy consumption by up to 42%.","PeriodicalId":222340,"journal":{"name":"Int. J. Inf. Technol. Web Eng.","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133219655","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}
引用次数: 2
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