2015 IEEE International Conference on Cloud Engineering最新文献_第4页

Efficient Retrieval of Key Material for Inspecting Potentially Malicious Traffic in the Cloud 高效检索关键材料，用于检测云中的潜在恶意流量

2015 IEEE International Conference on Cloud Engineering Pub Date : 2015-03-09 DOI: 10.1109/IC2E.2015.26

John T. Saxon, B. Bordbar, K. Harrison

引用次数: 4

National Cloud Computing Principles: Guidance for Public Sector Authorities Moving to the Cloud 国家云计算原则:公共部门主管部门转向云的指南

2015 IEEE International Conference on Cloud Engineering Pub Date : 2015-03-09 DOI: 10.1109/IC2E.2015.104

Stephen Mutkoski

引用次数: 2

Towards an Ontology-Based Intercloud Resource Catalogue -- The IEEE P2302 Intercloud Approach for a Semantic Resource Exchange 迈向基于本体的云间资源目录——IEEE P2302云间语义资源交换方法

2015 IEEE International Conference on Cloud Engineering Pub Date : 2015-03-09 DOI: 10.1109/IC2E.2015.76

B. D. Martino, Giuseppina Cretella, A. Esposito, A. Willner, A. Alloush, D. Bernstein, D. Vij, J. Weinman

引用次数: 22

Cloud Storage Services: A Model of (In)Consistency 云存储服务:一致性模型

2015 IEEE International Conference on Cloud Engineering Pub Date : 2015-03-09 DOI: 10.1109/IC2E.2015.82

D. Terry

引用次数: 0

Approving Updates in Collaborative Databases 批准协作数据库中的更新

2015 IEEE International Conference on Cloud Engineering Pub Date : 2015-03-09 DOI: 10.1109/IC2E.2015.31

Khaleel W. Mershad, Q. Malluhi, M. Ouzzani, Mingjie Tang, Walid G. Aref

{"title":"Approving Updates in Collaborative Databases","authors":"Khaleel W. Mershad, Q. Malluhi, M. Ouzzani, Mingjie Tang, Walid G. Aref","doi":"10.1109/IC2E.2015.31","DOIUrl":"https://doi.org/10.1109/IC2E.2015.31","url":null,"abstract":"Data curation activities in collaborative databases mandate that collaborators interact until they converge and agree on the content of their data. Typically, updates by a member of the collaboration are made visible to all collaborators for comments but at the same time are pending the approval or rejection of the data custodian, e.g., the principal scientist or investigator (PI). In current database technologies, approval and authorization of updates is based solely on the identity of the user, e.g., via the SQL GRANT and REVOKE commands. However, in collaborative environments, the updated data is open for collaborators for discussion and further editing and is finally approved or rejected by the PI based on the content of the data and not on the identity of the updater. In this paper, we introduce a cloud-based collaborative database system that promotes and enables collaboration and data curation scenarios. We realize content-based update approval and history tracking of updates inside HBase, a distributed and scalable open-source cluster-based database. The design and implementation as well as a detailed performance study of several approaches for update approval are presented and contrasted in the paper.","PeriodicalId":395715,"journal":{"name":"2015 IEEE International Conference on Cloud Engineering","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132970622","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

Finding the Big Data Sweet Spot: Towards Automatically Recommending Configurations for Hadoop Clusters on Docker Containers 寻找大数据的最佳点:在Docker容器上自动推荐Hadoop集群配置

2015 IEEE International Conference on Cloud Engineering Pub Date : 2015-03-09 DOI: 10.1109/IC2E.2015.101

Rui Zhang, Min Li, Dean Hildebrand

引用次数: 33

A Two-Level Cluster-Based Cognitive Radio Sensor Network: System Architecture, Hardware Design, and Distributed Protocols 基于两级集群的认知无线电传感器网络:系统架构、硬件设计和分布式协议

2015 IEEE International Conference on Cloud Engineering Pub Date : 2015-03-09 DOI: 10.1109/IC2E.2015.46

H. Salameh, Mohammed F. Dhainat, Ali Al-Hajji, Raed Aqeli, Mohammad Fathi

{"title":"A Two-Level Cluster-Based Cognitive Radio Sensor Network: System Architecture, Hardware Design, and Distributed Protocols","authors":"H. Salameh, Mohammed F. Dhainat, Ali Al-Hajji, Raed Aqeli, Mohammad Fathi","doi":"10.1109/IC2E.2015.46","DOIUrl":"https://doi.org/10.1109/IC2E.2015.46","url":null,"abstract":"In this paper, we present an integrated hardware design and software implementation for a cognitive-radio wireless sensor network (CR-WSN). The implemented CR-WSN is an event-driven cluster-based network, where the sensor nodes in the network are organized into a two-level hierarchy of clusters, each with its own cognitive-enabled cluster-head (CR-CH). According to CR-WSN, the sensed data by a sensor node is reported to the associated CR-CH. The CR-CH opportunistically transmits the collected information over one of the idle primary radio channels to the data collecting node (sink). Specifically, we first describe the hardware design and implementation of the CRWSN. Then, we propose a novel hybrid MAC design for the CR-WSN that ensures reliable and timely data delivery. The proposed protocol divides the MAC-layer operation into two domains: single-channel intra-cluster and cognitive inter-cluster domains. Experimental results are provided, which verify the effectiveness of the proposed MAC protocol and demonstrate a reliable, robust and scalable performance of the proposed system.","PeriodicalId":395715,"journal":{"name":"2015 IEEE International Conference on Cloud Engineering","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130746496","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: 9

Understanding the Linguistic Characteristics of Network Signaling for the 'Internet of Things' Using n-Grams 使用n-Grams理解“物联网”网络信号的语言特征

2015 IEEE International Conference on Cloud Engineering Pub Date : 2015-03-09 DOI: 10.1109/IC2E.2015.22

S. P. Emmons, F. Kamangar

引用次数: 1

Design and Implementation of a Cloud-Federation Agent for Software Defined Networking 软件定义网络的云联合代理的设计与实现

2015 IEEE International Conference on Cloud Engineering Pub Date : 2015-03-09 DOI: 10.1109/IC2E.2015.58

Constantin Gaul, Marc Körner, O. Kao

引用次数: 1

Graph Aware Caching Policy for Distributed Graph Stores 分布式图存储的图感知缓存策略

2015 IEEE International Conference on Cloud Engineering Pub Date : 2015-03-09 DOI: 10.1109/IC2E.2015.39

Hidayet Aksu, Mustafa Canim, Yuan-Chi Chang, I. Korpeoglu, Ö. Ulusoy

{"title":"Graph Aware Caching Policy for Distributed Graph Stores","authors":"Hidayet Aksu, Mustafa Canim, Yuan-Chi Chang, I. Korpeoglu, Ö. Ulusoy","doi":"10.1109/IC2E.2015.39","DOIUrl":"https://doi.org/10.1109/IC2E.2015.39","url":null,"abstract":"Graph stores are becoming increasingly popular among NOSQL applications seeking flexibility and heterogeneity in managing linked data. Conceptually and in practice, applications ranging from social networks, knowledge representations to Internet of things benefit from graph data stores built on a combination of relational and non-relational technologies aimed at desired performance characteristics. The most common data access pattern in querying graph stores is to traverse from a node to its neighboring nodes. This paper studies the impact of such traversal pattern to common data caching policies in a partitioned data environment where a big graph is distributed across servers in a cluster. We propose and evaluate a new graph aware caching policy designed to keep and evict nodes, edges and their metadata optimized for query traversal pattern. The algorithm distinguishes the topology of the graph as well as the latency of access to the graph nodes and neighbors. We implemented graph aware caching on a distributed data store Apache HBase in the Hadoop family. Performance evaluations showed up to 15x speedup on the benchmark datasets preferring our new graph aware policy over non-aware policies. We also show how to improve the performance of existing caching algorithms for distributed graphs by exploiting the topology information.","PeriodicalId":395715,"journal":{"name":"2015 IEEE International Conference on Cloud Engineering","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133417086","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