Int. J. Grid Util. Comput.最新文献_第6页

A configurable and executable model of Spark Streaming on Apache YARN Spark Streaming在Apache YARN上的可配置和可执行模型

Int. J. Grid Util. Comput. Pub Date : 2020-02-03 DOI: 10.1504/ijguc.2020.10026548

Jia-Chun Lin, Ming-Chang Lee, Ingrid Chieh Yu, E. Johnsen

{"title":"A configurable and executable model of Spark Streaming on Apache YARN","authors":"Jia-Chun Lin, Ming-Chang Lee, Ingrid Chieh Yu, E. Johnsen","doi":"10.1504/ijguc.2020.10026548","DOIUrl":"https://doi.org/10.1504/ijguc.2020.10026548","url":null,"abstract":"Streams of data are produced today at an unprecedented scale. Efficient and stable processing of these streams requires a careful interplay between the parameters of the streaming application and of the underlying stream processing framework. Today, finding these parameters happens by trial and error on the complex, deployed framework. This paper shows that high-level models can help to determine these parameters by predicting and comparing the performance of streaming applications running on stream processing frameworks with different configurations. To demonstrate this approach, this paper considers Spark Streaming, a widely used framework to leverage data streams on the fly and provide real-time stream processing. Technically, we develop a configurable and executable model to simulate both the streaming applications and the underlying Spark stream processing framework. Furthermore, we model the deployment of Spark Streaming on Apache YARN, which is a popular open-source distributed software framework for big data processing. We show that the developed model provides a satisfactory accuracy for predicting performance by means of empirical validation.","PeriodicalId":375871,"journal":{"name":"Int. J. Grid Util. Comput.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131148395","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

Preferential charging for government authorised emergency electric vehicles 政府批准的应急电动车辆优惠收费

Int. J. Grid Util. Comput. Pub Date : 2020-02-03 DOI: 10.1504/ijguc.2020.10026557

R. Yaqub, F. A. Shifa, M. F. Butt

{"title":"Preferential charging for government authorised emergency electric vehicles","authors":"R. Yaqub, F. A. Shifa, M. F. Butt","doi":"10.1504/ijguc.2020.10026557","DOIUrl":"https://doi.org/10.1504/ijguc.2020.10026557","url":null,"abstract":"The proliferation of Electric Vehicles (EVs) is exponential. However, the power grid is not able to provide simultaneous charging of several EVs due to limited power production capabilities and old distribution infrastructure. Scheduled charging is one of the most advocated solutions. However, it is not viable for emergency vehicles. This paper proposes to provide priority charging service for government authorised emergency EVs. For enablement of this proposal, a complete solution that includes architecture, as well as the protocols suite is suggested. To realise such a service, the paper suggests a major functional entity called a Priority Charging Server, i.e. a database server where authorised emergency EVs' IDs are registered, and their record is maintained. The paper also proposes modifications in the IEC15118 and IEC 61850 protocol suites. These protocols provide communication between vehicle and grid. The solution also inculcates roaming as well as non-roaming scenarios, i.e. a priority charging request may be originated by an authorised emergency EV from a Home Utility Network, as well as Visiting Utility Network. The paper is concluded with a MATLAB-based proof-of-concept simulation.","PeriodicalId":375871,"journal":{"name":"Int. J. Grid Util. Comput.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131296245","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

A spatial access method approach to continuous k-nearest neighbour processing for location-based services 基于位置服务的连续k近邻处理的空间访问方法

Int. J. Grid Util. Comput. Pub Date : 2020-02-03 DOI: 10.1504/ijguc.2020.10026555

W. Osborn

引用次数: 0

Models for hyper-converged cloud computing infrastructures planning 超融合云计算基础设施规划模型

Int. J. Grid Util. Comput. Pub Date : 2020-02-03 DOI: 10.1504/ijguc.2020.10026550

Carlos Melo, J. Dantas, P. Maciel, Danilo Oliveira, J. Araujo, Rúbens de Souza Matos Júnior, Iure Fé

引用次数: 6

Cognitive workload management on globally interoperable network of clouds 基于全局互操作云网络的认知工作负载管理

Int. J. Grid Util. Comput. Pub Date : 2019-08-09 DOI: 10.1504/IJGUC.2019.10023104

G. Morana, Rao V. Mikkilineni, Surendra Keshan

引用次数: 0

Data analysis of CSI 800 industry index by using factor analysis model 运用因子分析模型对沪深800工业指数进行数据分析

Int. J. Grid Util. Comput. Pub Date : 2019-08-09 DOI: 10.1504/IJGUC.2019.10023115

Chunfen Xu

引用次数: 0

Towards to virtual infrastructure allocation on multiple IaaS providers with survivability and reliability requirements 面向多个IaaS提供商的虚拟基础设施分配，具有生存性和可靠性需求

Int. J. Grid Util. Comput. Pub Date : 2019-08-09 DOI: 10.1504/IJGUC.2019.10023134

A. S. Raugust, W. J. Loch, Felipe Rodrigo de Souza, M. A. Pillon, C. Miers, G. Koslovski

引用次数: 0

Resource auto-scaling for SQL-like queries in the cloud based on parallel reinforcement learning 基于并行强化学习的云中类sql查询的资源自动伸缩

Int. J. Grid Util. Comput. Pub Date : 2019-08-09 DOI: 10.1504/IJGUC.2019.102748

Mohamed Mehdi Kandi, Shaoyi Yin, A. Hameurlain

引用次数: 1

A cloud-based approach to dynamically manage service contracts for local public transportation 一种基于云的方法来动态管理本地公共交通的服务合同

Int. J. Grid Util. Comput. Pub Date : 2019-08-09 DOI: 10.1504/IJGUC.2020.10021245

A. Longo, M. Zappatore, Mario Alessandro Bochicchio

{"title":"A cloud-based approach to dynamically manage service contracts for local public transportation","authors":"A. Longo, M. Zappatore, Mario Alessandro Bochicchio","doi":"10.1504/IJGUC.2020.10021245","DOIUrl":"https://doi.org/10.1504/IJGUC.2020.10021245","url":null,"abstract":"Public contracts regulate how public services are managed by the stakeholders. However, the current technological trend is creating a significant bias between the pace at which service data are produced and that at which contracts change. This increased availability of service data can be exploited in public procurement processes by fostering novel approaches to manage contracts, making them more dynamic and improving the Quality of Service (QoS) delivered to customers. In this paper, a cloud-based approach for assessing the QoS in Local Transportation Services (LTSs) in Apulia Region (Southern Italy) is proposed. Service Level Agreements (SLAs) between providers and the Regional Authority, as well as the minimal guaranteed QoS levels between providers and passengers, are modelled as contracts enacted via a cloud-based system, which gathers data from sensors and passengers. In this way, changes in contract conditions for improving the perceived and delivered QoS can be fastened and facilitated based on data. In order to validate the pilot case, a set of quality indicators and service levels grounded in European and Italian regulatory frameworks has been considered.","PeriodicalId":375871,"journal":{"name":"Int. J. Grid Util. Comput.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121221448","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

Improving the MXFT scheduling algorithm for a cloud computing context 改进云计算环境下的MXFT调度算法

Int. J. Grid Util. Comput. Pub Date : 2019-08-09 DOI: 10.1504/IJGUC.2019.10023108

Paul Moggridge, N. Helian, Yi Sun, M. Lilley, V. Veneziano, Martin Eaves

引用次数: 0