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International Conference on Cloud Computing and Services Science最新文献

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Towards a Fuzzy-oriented Framework for Service Selection in Cloud e-Marketplaces 面向模糊的云电子市场服务选择框架
International Conference on Cloud Computing and Services Science Pub Date : 2017-06-22 DOI: 10.5220/0006365306320637
Azubuike Ezenwoke, O. Daramola, M. Adigun
{"title":"Towards a Fuzzy-oriented Framework for Service Selection in Cloud e-Marketplaces","authors":"Azubuike Ezenwoke, O. Daramola, M. Adigun","doi":"10.5220/0006365306320637","DOIUrl":"https://doi.org/10.5220/0006365306320637","url":null,"abstract":"The growing popularity of cloud services requires service selection platforms that offer enhanced user \u0000experience in terms of handling complex user requirements, elicitation of quality of service (QoS) \u0000requirements, and presentation of search results to aid decision making. So far, none of the existing cloud \u0000service selection approaches has provided a framework that wholly possesses these attributes. In this paper, \u0000we proposed a fuzzy-oriented framework that could facilitate enhanced user experience in cloud emarketplaces \u0000through formal composition of atomic services to satisfy complex user requirements, elicitation and processing of subjective user QoS requirements, and presentation of search results in a visually intuitive way that aids users’ decision making. To do this, an integration of key concepts such as constrained-based reasoning on feature models, fuzzy pairwise comparison of QoS attributes, fuzzy decision \u0000making, and information visualization have been used. The applicability of the framework is illustrated with an example of Customer Relationship Management as a Service.","PeriodicalId":446929,"journal":{"name":"International Conference on Cloud Computing and Services Science","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115663142","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: 6
An Investigation into the Use of Solar Power in Cloud Computing 太阳能在云计算中的应用研究
International Conference on Cloud Computing and Services Science Pub Date : 2017-06-02 DOI: 10.5220/0006380107550766
Emmanuel Kayode Akinshola Ogunshile
{"title":"An Investigation into the Use of Solar Power in Cloud Computing","authors":"Emmanuel Kayode Akinshola Ogunshile","doi":"10.5220/0006380107550766","DOIUrl":"https://doi.org/10.5220/0006380107550766","url":null,"abstract":"Cisco predict that by 2019, 86% of computing workloads will be carried out within a cloud computing environment. This is leading to the dramatically increasing need for data centre expansion which in turn is consuming more and more of the world’s natural resources to generate the electricity needed to power them. This paper uses a fictitious electronics recycling company called Compucycle to investigate the feasibility and cost of integrating solar power generation into Compucycle’s IT Infrastructure compared to completely outsourcing it to a cloud service provider. It was discovered that a complete solar power solution was not feasible due to the excessive costs it brought to the business. It was then decided that two out of four proposed solutions in this paper were a good fit for the business. The first being a hybrid power solution where a small portion of power is derived from the grid along with solar power generation. The second being the outsourced option. The third and fourth solutions were disregarded due to the fact that one was completely unfeasible and the other went against what Compucycle wanted to achieve.","PeriodicalId":446929,"journal":{"name":"International Conference on Cloud Computing and Services Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127003017","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: 0
An Investigation into the Use of Hybrid Solar Power and Cloud Service Solutions for 24/7 Computing 对使用混合太阳能和云服务解决方案进行24/7计算的调查
International Conference on Cloud Computing and Services Science Pub Date : 2017-06-02 DOI: 10.5220/0006380007430754
Emmanuel Kayode Akinshola Ogunshile
{"title":"An Investigation into the Use of Hybrid Solar Power and Cloud Service Solutions for 24/7 Computing","authors":"Emmanuel Kayode Akinshola Ogunshile","doi":"10.5220/0006380007430754","DOIUrl":"https://doi.org/10.5220/0006380007430754","url":null,"abstract":"As the human race demands more from computing, the national grids of nations around the world subsequently have to burn additional fossil fuels to meet increased power requirements. The aim of this paper is to investigate ways in which an organisation could reduce its operational costs and therefore be greener through the implementation of either a complete solar solution or a more hybrid mix with cloud computing thrown in. Through the creation of a hypothetical UK based SME we compared solar technology currently in the market in order to understand not only the total investment required but also just how efficient solar technology is, or perhaps is not. We also investigated comparable technology from the three cloud providers (Microsoft, Amazon and Google) to discover whether replacing on-premise hardware with that available in data centres would be more cost-effective than full solar solution or reduce the total amount of solar technology required. Having conducted the research, we found that solar technology is in no way an effective solution for the total replacement of power from the national grid, it can be very pricey to implement especially on the scale of always on computing and is easily affected by the elements-which given the UK as a location is not ideal. It was also discovered that cloud computing is in no way as affordable as it is perhaps made out to be but has the benefits of being considered a) an operational expenditure, b) fully maintained and; c) fully flexible, these all being reasons which help a growing SME expand down the line without unnecessary hardware outlay. Our final recommendations provide a fair cost comparison over the total expected payback period for the solar setup of installing a solar solution to power the entire on-premise systems and simply having a hybrid of both solar and cloud.","PeriodicalId":446929,"journal":{"name":"International Conference on Cloud Computing and Services Science","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132526845","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: 0
Clustering Goal-Driven Security Factors for Protecting Data in Cloud Storage using Exploratory Factor Analysis (EFA): An Empirical Study 基于探索性因子分析(EFA)聚类目标驱动的云存储数据安全因子的实证研究
International Conference on Cloud Computing and Services Science Pub Date : 2017-06-01 DOI: 10.5220/0006302304750482
F. Yahya, R. Walters, G. Wills
{"title":"Clustering Goal-Driven Security Factors for Protecting Data in Cloud Storage using Exploratory Factor Analysis (EFA): An Empirical Study","authors":"F. Yahya, R. Walters, G. Wills","doi":"10.5220/0006302304750482","DOIUrl":"https://doi.org/10.5220/0006302304750482","url":null,"abstract":"The purpose of this paper is to explore the important security factors for protecting data in cloud storage from the perspective of security practitioners. The study consist of 43 security variables (or indicator items) from a survey participated by security practitioners in Malaysia. Exploratory factor analysis (EFA) is conducted to understand the clusters of variables (or indicator items) and the inter-relationships constructing the security factors (or components). Most of the respondents are from public sector organisations (government and higher education organisations) in Malaysia. The clusters of variables resulting from this analysis can be used as a reference for security practitioners planning to produce security policies to protect data stored in a cloud storage. The top security factors identified from this study are shown in terms of policy implementation and controls in confidentiality, integrity, availability, non-repudiation, authenticity, reliability, accountability and auditability of data services in cloud storage.","PeriodicalId":446929,"journal":{"name":"International Conference on Cloud Computing and Services Science","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132642658","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: 0
Anomaly Detection for Soft Security in Cloud based Auditing of Accounting Systems 基于云审计的会计系统软安全异常检测
International Conference on Cloud Computing and Services Science Pub Date : 2017-04-26 DOI: 10.5220/0006305504710478
Mats Neovius, B. Duncan
{"title":"Anomaly Detection for Soft Security in Cloud based Auditing of Accounting Systems","authors":"Mats Neovius, B. Duncan","doi":"10.5220/0006305504710478","DOIUrl":"https://doi.org/10.5220/0006305504710478","url":null,"abstract":"Achieving information security in the cloud is not a trivial exercise. When the systems involved are accounting software systems, this becomes much more challenging in the cloud, due both to the systems architecture in use, the challenges of proper configuration, and to the multiplicity of attacks that can be made against such systems. A particular issue for accounting systems concerns maintaining a proper audit trail in order that an adequate level of audit may be carried out on the accounting records contained in the system. In this paper we discuss the implications of the traditional approach to such systems and propose a complementary soft security solution relying on detecting behavioural anomalies by evidence theory. The contribution is in conceptualising the anomalies and providing a somewhat theoretical solution for a difficult and challenging problem. The proposed solution is applicable within any domain consisting of rigorous processes and risk of tampering or data exfiltration, such as the cloud based accounting systems.","PeriodicalId":446929,"journal":{"name":"International Conference on Cloud Computing and Services Science","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126951201","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: 6
MyMinder: A User-centric Decision Making Framework for Intercloud Migration MyMinder:一个以用户为中心的云间迁移决策框架
International Conference on Cloud Computing and Services Science Pub Date : 2017-04-26 DOI: 10.5220/0006355905600567
Esha Barlaskar, P. Kilpatrick, I. Spence, Dimitrios S. Nikolopoulos
{"title":"MyMinder: A User-centric Decision Making Framework for Intercloud Migration","authors":"Esha Barlaskar, P. Kilpatrick, I. Spence, Dimitrios S. Nikolopoulos","doi":"10.5220/0006355905600567","DOIUrl":"https://doi.org/10.5220/0006355905600567","url":null,"abstract":"Each cloud infrastructure-as-a-service (IaaS) provider offers its own set of virtual machine (VM) images and hypervisors. This creates a vendor lock-in problem when cloud users try to change cloud provider (CP). Although, recently a few user-side inter-cloud migration techniques have been proposed (e.g. nested virtualisation), these techniques do not provide dynamic cloud management facilities which could help users to decide whether or not to proceed with migration, when and where to migrate, etc. Such decision-making support in the post-deployment phase is crucial when the current CP’s Quality of Service (QoS) degrades while other CPs offer better QoS or the same service at a lower price. To ensure that users’ required QoS constraints are achieved, dynamic monitoring and management of the acquired cloud services are very important and should be integrated with the inter-cloud migration techniques. In this paper, we present the problem formulation and the architecture of a Multi-objective dYnamic MIgratioN Decision makER (MyMinder) framework that enables users to monitor and appropriately manage their deployed applications by providing decisions on whether to continue with the currently selected CP or to migrate to a different CP. The paper also discusses experimental results obtained when running a Spark linear regression application in Amazon EC2 and Microsoft Azure as an initial investigation to understand the motivating factors for live-migration of cloud applications across cloud providers in the post-deployment phase.","PeriodicalId":446929,"journal":{"name":"International Conference on Cloud Computing and Services Science","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115583251","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
Cost Analysis for Big Geospatial Data Processing in Public Cloud Providers 公共云提供商的大地理空间数据处理成本分析
International Conference on Cloud Computing and Services Science Pub Date : 2017-04-24 DOI: 10.1007/978-3-319-94959-8_12
João Bachiega, M. Reis, Aleteia P. F. Araujo, M. Holanda
{"title":"Cost Analysis for Big Geospatial Data Processing in Public Cloud Providers","authors":"João Bachiega, M. Reis, Aleteia P. F. Araujo, M. Holanda","doi":"10.1007/978-3-319-94959-8_12","DOIUrl":"https://doi.org/10.1007/978-3-319-94959-8_12","url":null,"abstract":"","PeriodicalId":446929,"journal":{"name":"International Conference on Cloud Computing and Services Science","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129791662","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
A Decentralized on Demand Cloud CPU Design with Instruction Level Virtualization 基于指令级虚拟化的分散式按需云CPU设计
International Conference on Cloud Computing and Services Science Pub Date : 2017-04-24 DOI: 10.1007/978-3-319-94959-8_3
Erhan Gokcay
{"title":"A Decentralized on Demand Cloud CPU Design with Instruction Level Virtualization","authors":"Erhan Gokcay","doi":"10.1007/978-3-319-94959-8_3","DOIUrl":"https://doi.org/10.1007/978-3-319-94959-8_3","url":null,"abstract":"","PeriodicalId":446929,"journal":{"name":"International Conference on Cloud Computing and Services Science","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116174253","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: 0
Cost Optimization on Public Cloud Provider for Big Geospatial Data 面向大地理空间数据的公共云提供商成本优化
International Conference on Cloud Computing and Services Science Pub Date : 2017-04-24 DOI: 10.5220/0006237800540062
João Bachiega, M. Reis, Aleteia P. F. Araujo, M. Holanda
{"title":"Cost Optimization on Public Cloud Provider for Big Geospatial Data","authors":"João Bachiega, M. Reis, Aleteia P. F. Araujo, M. Holanda","doi":"10.5220/0006237800540062","DOIUrl":"https://doi.org/10.5220/0006237800540062","url":null,"abstract":"Big geospatial data is the emerging paradigm for the enormous amount of information made available by the development and widespread use of Geographical Information System (GIS) software. However, this new paradigm presents challenges in data management, which requires tools for large-scale processing, due to the great volumes of data. Spatial Cloud Computing offers facilities to overcome the challenges of a big data environment, providing significant computer power and storage. SpatialHadoop, a fully-fledged MapReduce framework with native support for spatial data, serves as one such tool for large-scale processing.  However, in cloud environments, the high cost of processing and system storage in the providers is a central challenge. To address this challenge, this paper presents a cost-efficient method for processing geospatial data in public cloud providers. The data validation software used was Open Street Map (OSM). Test results show that it can optimize the use of computational resources by up to 263% for available SpatialHadoop datasets.","PeriodicalId":446929,"journal":{"name":"International Conference on Cloud Computing and Services Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127886306","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
Controlling Cloud-Based Systems for Elasticity Test Reproduction 控制基于云的弹性测试再现系统
International Conference on Cloud Computing and Services Science Pub Date : 2017-04-24 DOI: 10.1007/978-3-319-94959-8_11
Michel Albonico, Jean-Marie Mottu, G. Sunyé, Frederico Alvares
{"title":"Controlling Cloud-Based Systems for Elasticity Test Reproduction","authors":"Michel Albonico, Jean-Marie Mottu, G. Sunyé, Frederico Alvares","doi":"10.1007/978-3-319-94959-8_11","DOIUrl":"https://doi.org/10.1007/978-3-319-94959-8_11","url":null,"abstract":"","PeriodicalId":446929,"journal":{"name":"International Conference on Cloud Computing and Services Science","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114490049","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: 0
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