4th IEEE International Conference on Cloud Computing Technology and Science Proceedings最新文献

A performance estimation model for high-performance computing on clouds 云上高性能计算的性能估计模型

4th IEEE International Conference on Cloud Computing Technology and Science Proceedings Pub Date : 2012-12-03 DOI: 10.1109/CloudCom.2012.6427567

Jih-Sheng Chang, R. Chang

引用次数: 5

Military reconstructive simulation in the cloud to aid battlefield excavations 云端军事重建模拟，辅助战场挖掘

4th IEEE International Conference on Cloud Computing Technology and Science Proceedings Pub Date : 2012-12-03 DOI: 10.1109/CLOUDCOM.2012.6427538

P. Wittek, X. Rubio-Campillo

引用次数: 8

A survey on security issues of federated identity in the cloud computing 云计算中联邦身份安全问题的调查

4th IEEE International Conference on Cloud Computing Technology and Science Proceedings Pub Date : 2012-12-03 DOI: 10.1109/CloudCom.2012.6427513

Eghbal Ghazizadeh, M. Zamani, J. Manan, Abolghasem Pashang

引用次数: 50

A broadband embedded computing system for MapReduce utilizing Hadoop 基于Hadoop的MapReduce宽带嵌入式计算系统

4th IEEE International Conference on Cloud Computing Technology and Science Proceedings Pub Date : 2012-12-03 DOI: 10.1109/CloudCom.2012.6427483

Y. Jung, Richard Neill, L. Carloni

引用次数: 14

Weighted fairness guaranteed data aggregation scheduling algorithm in wireless sensor networks 无线传感器网络中加权公平性保证的数据聚合调度算法

4th IEEE International Conference on Cloud Computing Technology and Science Proceedings Pub Date : 2012-12-03 DOI: 10.1109/CloudCom.2012.6427502

Jian Xu, Yanli Chen, Wei Zhu

{"title":"Weighted fairness guaranteed data aggregation scheduling algorithm in wireless sensor networks","authors":"Jian Xu, Yanli Chen, Wei Zhu","doi":"10.1109/CloudCom.2012.6427502","DOIUrl":"https://doi.org/10.1109/CloudCom.2012.6427502","url":null,"abstract":"Data aggregation from a set of sensors to a common sink over a tree-based routing topology is a fundamental traffic pattern in wireless sensor networks (WSNs). The time division multiple access (TDMA)-based scheduling protocols are suitable for such data aggregation applications. Most of the previously proposed TDMA schemes focus on a particular objective, such as minimizing schedule delay, latency, and energy consumption etc. In this paper, we investigate another important aspect of aggregation, i.e., weighted fairness, and propose a novel weighted fairness guaranteed aggregation scheduling algorithm (WAS) under the protocol interference model. We use node weight to reflect the importance of each node, and introduce the weighted delay as the weighted fairness guaranteed metric. Then the problem of weighted fairness guaranteed can be translated into minimizing the weighted delay. In order to achieve this purpose, WAS utilizes the approximate maximum weighted set to allocate time slots for each node according to different accumulative weight. The results of simulation demonstrate that the weighted fairness of WAS is much better than the existing TDMA scheduling algorithm. In particular, the proposed scheduling scheme can achieve a good trade-off between weighted fairness guarantee and aggregation delay.","PeriodicalId":430883,"journal":{"name":"4th IEEE International Conference on Cloud Computing Technology and Science Proceedings","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117079681","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 BDI agent-based approach for Cloud Application autonomic management 基于BDI代理的云应用自主管理方法

4th IEEE International Conference on Cloud Computing Technology and Science Proceedings Pub Date : 2012-12-03 DOI: 10.1109/CloudCom.2012.6427571

Li Xu, Guozhen Tan, Xia Zhang, Jingang Zhou

{"title":"A BDI agent-based approach for Cloud Application autonomic management","authors":"Li Xu, Guozhen Tan, Xia Zhang, Jingang Zhou","doi":"10.1109/CloudCom.2012.6427571","DOIUrl":"https://doi.org/10.1109/CloudCom.2012.6427571","url":null,"abstract":"Cloud endows application with the ability of controlling runtime environment dynamically. Comparing with traditional one, Cloud APPlication (CAPP) could be more dynamic and autonomic. However, enabling CAPP to handle problems such as performance optimization or resources utility efficiency improvement in complex cloud environment with existing technologies is difficult and problematic. To address this problem, we propose a BDI (Belief-Desire-Intention) model and multi-agent oriented approach to decouple autonomous management functionality with CAPP, and simplify the management policy configuration process. We use the BDI agent paradigm to specify application and environment fact as belief, the CAPP's SLOs (Service Level Objectives) and Cloud Environment (CE) resources utility improvement desire as goal, means to achieve goal as action plan. A BDI agent oriented architecture and a Bayesian Network based belief inference model for the process of reasoning in intelligent agent is proposed to tackle CAPP autonomic management problem in cloud environment also. A prototype of this design is applied to automatically manage several multi-tiered web applications running in cloud environment to demonstrate the effectiveness of our design.","PeriodicalId":430883,"journal":{"name":"4th IEEE International Conference on Cloud Computing Technology and Science Proceedings","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128923154","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

Dynamic scalability and contention prediction in public infrastructure using Internet application profiling 使用Internet应用程序分析的公共基础设施中的动态可伸缩性和争用预测

4th IEEE International Conference on Cloud Computing Technology and Science Proceedings Pub Date : 2012-12-03 DOI: 10.1109/CloudCom.2012.6427552

W. Dawoud, I. Takouna, C. Meinel

{"title":"Dynamic scalability and contention prediction in public infrastructure using Internet application profiling","authors":"W. Dawoud, I. Takouna, C. Meinel","doi":"10.1109/CloudCom.2012.6427552","DOIUrl":"https://doi.org/10.1109/CloudCom.2012.6427552","url":null,"abstract":"Recently, the advance of cloud computing services has attracted many customers to host their Internet applications in the cloud. Infrastructure as a Service (IaaS) is on top of these services where it gives more control over the provisioned resources. The control is based on online monitoring of specific metrics (e.g., CPU, Memory, and Network). Despite the fact that these metrics guide resources provisioning, the lack of understanding application behavior can lead to wrong decisions. Moreover, current monitored metrics alone do not help in resources contention prediction, which is very common in shared infrastructures like IaaS. Nevertheless, the architecture of Internet applications, as multi-tier systems, makes contention prediction more complex while its influence can migrate from one tier to another. In this paper, we propose a pro-active global controller not only for dynamic resources provisioning, but also for predicting and eliminating contentions in multi-tier applications. Our technique combines monitored metrics, which are provided by current IaaS providers, with models that are built depending on the Internet applications profiling. The fitness of the monitored metrics to the application model is used for contention prediction. We examined our technique using RUBiS benchmark. The results express the efficiency of the developed algorithms in maintaining Internet applications performance even in shared infrastructures.","PeriodicalId":430883,"journal":{"name":"4th IEEE International Conference on Cloud Computing Technology and Science Proceedings","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129039540","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: 10

Large-scale multimedia data mining using MapReduce framework 基于MapReduce框架的大规模多媒体数据挖掘

4th IEEE International Conference on Cloud Computing Technology and Science Proceedings Pub Date : 2012-12-03 DOI: 10.1109/CloudCom.2012.6427595

Hanli Wang, Yun Shen, Lei Wang, Kuangtian Zhufeng, Wei Wang, Cheng Cheng

引用次数: 24

Data layout management for energy-saving key-value storage using a write off-loading technique 使用写卸载技术的节能键值存储的数据布局管理

4th IEEE International Conference on Cloud Computing Technology and Science Proceedings Pub Date : 2012-12-03 DOI: 10.1109/CloudCom.2012.6427514

Masaki Kan, D. Kobayashi, H. Yokota

引用次数: 0

Intercloud Architecture for interoperability and integration 用于互操作性和集成的云间架构

4th IEEE International Conference on Cloud Computing Technology and Science Proceedings Pub Date : 2012-12-03 DOI: 10.1109/CloudCom.2012.6427607

Y. Demchenko, M. Makkes, R. Strijkers, C. D. Laat

{"title":"Intercloud Architecture for interoperability and integration","authors":"Y. Demchenko, M. Makkes, R. Strijkers, C. D. Laat","doi":"10.1109/CloudCom.2012.6427607","DOIUrl":"https://doi.org/10.1109/CloudCom.2012.6427607","url":null,"abstract":"This paper presents on-going research to develop the Intercloud Architecture Framework (ICAF) that addresses problems in multi-provider multi-domain heterogeneous cloud based infrastructure services and applications integration and interoperability. The paper refers to existing standards in Cloud Computing, in particular, recently published NIST Cloud Computing Reference Architecture (CCRA). The proposed ICAF defines four complementary components addressing Intercloud integration and interoperability: multilayer Cloud Services Model that combines commonly adopted cloud service models, such as IaaS, PaaS, SaaS, in one multilayer model with corresponding inter-layer interfaces; Intercloud Control and Management Plane that supports cloud based applications interaction; Intercloud Federation Framework, and Intercloud Operation Framework. The paper briefly describes the architectural framework for cloud based infrastructure services provisioned on-demand being developed in the framework of the GEYSERS project that is used as a basis for building multilayer cloud services integration framework that allows optimized provisioning of both computing, storage and networking resources. The proposed architecture is intended to provide an architectural model for developing Intercloud middleware and in this way will facilitate clouds interoperability and integration.","PeriodicalId":430883,"journal":{"name":"4th IEEE International Conference on Cloud Computing Technology and Science Proceedings","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114563391","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: 51