International Journal of Cloud Applications and Computing最新文献_第3页

RDF Query Path Optimization Using Hybrid Genetic Algorithms: Semantic Web vs. Data-Intensive Cloud Computing 使用混合遗传算法的RDF查询路径优化:语义网与数据密集型云计算

International Journal of Cloud Applications and Computing Pub Date : 2022-01-01 DOI: 10.4018/ijcac.2022010101

Qazi Mudassar Ilyas, Muneer Ahmad, Sonia Rauf, Danish Irfan

{"title":"RDF Query Path Optimization Using Hybrid Genetic Algorithms: Semantic Web vs. Data-Intensive Cloud Computing","authors":"Qazi Mudassar Ilyas, Muneer Ahmad, Sonia Rauf, Danish Irfan","doi":"10.4018/ijcac.2022010101","DOIUrl":"https://doi.org/10.4018/ijcac.2022010101","url":null,"abstract":"Resource Description Framework (RDF) inherently supports data mergers from various resources into a single federated graph that can become very large even for an application of modest size. This results in severe performance degradation in the execution of RDF queries. As every RDF query essentially traverses a graph to find the output of the Query, an efficient path traversal reduces the execution time of RDF queries. Hence, query path optimization is required to reduce the execution time as well as the cost of a query. Query path optimization is an NP-hard problem that cannot be solved in polynomial time. Genetic algorithms have proven to be very useful in optimization problems. We propose a hybrid genetic algorithm for query path optimization. The proposed algorithm selects an initial population using iterative improvement thus reducing the initial solution space for the genetic algorithm. The proposed algorithm makes significant improvements in the overall performance. We show that the overall number of joins for complex queries is reduced considerably, resulting in reduced cost.","PeriodicalId":51857,"journal":{"name":"International Journal of Cloud Applications and Computing","volume":"12 1","pages":"1-16"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70451544","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

Review on Mapping of Tasks to Resources in Cloud Computing 云计算中任务到资源映射的研究进展

International Journal of Cloud Applications and Computing Pub Date : 2022-01-01 DOI: 10.4018/ijcac.2022010106

V. Vinothina, G. JasmineBeulah, Sridaran Rajagopal

引用次数: 3

Integrated Predictive Experience Management Framework (IPEMF) for Improving Customer Experience: In the Era of Digital Transformation 改善客户体验的集成预测体验管理框架(IPEMF):在数字化转型时代

International Journal of Cloud Applications and Computing Pub Date : 2022-01-01 DOI: 10.4018/ijcac.2022010107

N. Kumbhojkar, Arun Balakrishna Menon

{"title":"Integrated Predictive Experience Management Framework (IPEMF) for Improving Customer Experience: In the Era of Digital Transformation","authors":"N. Kumbhojkar, Arun Balakrishna Menon","doi":"10.4018/ijcac.2022010107","DOIUrl":"https://doi.org/10.4018/ijcac.2022010107","url":null,"abstract":"Enterprises are adopting digital transformation with an exponential rate to drive growth through new business models and the use of digital technologies. Digital transformation is a business imperative rather than technology imperative. Hence, customer experience during and post-transformation is key to the success of the digital transformation. The present paper proposes an Integrated Predictive Experience Management Framework (IPEMF) for improving customer experience. IPEMF is- a structured and methodological business processes centric connected experience framework with the customer at the centre. The uniqueness of IPEMF is that it seamlessly integrates business processes, technology, organisation, and customer behaviour. It is agnostic of the business vertical or the geography. The framework puts forth an approach to predict the impact on customer experience proactively and provides a feedback loop to help continuously improve the experience. IPEMF helps enterprises build intuitive, trusted relationships and hyper-personalised customer experience through the customer journey.","PeriodicalId":51857,"journal":{"name":"International Journal of Cloud Applications and Computing","volume":"12 1","pages":"1-13"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70452108","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: 8

A Metaphoric Design of Electronic Medical Record (EMR) for Periodic Health Examination Reports: An Initiative to Cloud's Medical Data Analysis 定期健康检查报告电子病历(EMR)的隐喻设计:云医疗数据分析的倡议

International Journal of Cloud Applications and Computing Pub Date : 2022-01-01 DOI: 10.4018/ijcac.2022010110

Sharifah Ahmed Alamer, Qazi Mudassar Ilyas, Muneer Ahmad, Danish Irfan

{"title":"A Metaphoric Design of Electronic Medical Record (EMR) for Periodic Health Examination Reports: An Initiative to Cloud's Medical Data Analysis","authors":"Sharifah Ahmed Alamer, Qazi Mudassar Ilyas, Muneer Ahmad, Danish Irfan","doi":"10.4018/ijcac.2022010110","DOIUrl":"https://doi.org/10.4018/ijcac.2022010110","url":null,"abstract":"The exponential growth of big data demands an efficient knowledge discovery. The electronic medical records of patients on medical data Clouds contain implicit medical information. Although the periodic health examination (PHE) reports describing a set of screening tests for healthy individuals performed periodically, common individuals require the assistance of an expert to interpret the results for a medical opinion. This research study proposes a metaphoric design of Electronic Medical Record (EMR) for PHE reports of patients. The outcomes of this study glimpses useful findings for the common people in the self-interpretation of their medical reports. Besides, among a variety of solutions, the study uses the metaphoric representation to convert the numerical data and medical terminology to familiar graphic representations from real life. The study identifies the detailed requirements to propose a conceptual architecture for metaphoric EMR reports. The future work will result in a prototype design, evaluation, and refinement of metaphors based on stakeholders' feedback.","PeriodicalId":51857,"journal":{"name":"International Journal of Cloud Applications and Computing","volume":"253 1","pages":"1-18"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70451828","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