2015 International Conference on Cloud Computing Research and Innovation (ICCCRI)最新文献

Updates on Sorting of Fully Homomorphic Encrypted Data 关于全同态加密数据排序的更新

2015 International Conference on Cloud Computing Research and Innovation (ICCCRI) Pub Date : 2015-10-26 DOI: 10.1109/ICCCRI.2015.28

Nitesh Emmadi, Praveen Gauravaram, Harika Narumanchi, H. Syed

引用次数: 19

Building a Robust and Efficient Middleware for Geo-replicated Storage Systems 为异地复制存储系统构建健壮高效的中间件

2015 International Conference on Cloud Computing Research and Innovation (ICCCRI) Pub Date : 2015-10-26 DOI: 10.1109/ICCCRI.2015.19

Quanqing Xu, Wilson Yonghong Wang, K. L. Yong, Khin Mi Mi Aung

引用次数: 1

Evolutionary Neural Network Based Energy Consumption Forecast for Cloud Computing 基于进化神经网络的云计算能耗预测

2015 International Conference on Cloud Computing Research and Innovation (ICCCRI) Pub Date : 2015-10-26 DOI: 10.1109/ICCCRI.2015.17

Y. W. Foo, C. Goh, Hong Chee Lim, Zhi-hui Zhan, Yun Li

引用次数: 18

An Empirical Study of SDN-accelerated HPC Infrastructure for Scientific Research 面向科研的sdn加速HPC基础设施实证研究

2015 International Conference on Cloud Computing Research and Innovation (ICCCRI) Pub Date : 2015-10-26 DOI: 10.1109/ICCCRI.2015.13

S. Date, H. Abe, Khureltulga Dashdavaa, Keichi Takahashi, Y. Kido, Yasuhiro Watashiba, Pongsakorn U-chupala, Koheix Ichikawa, Hiroaki Yamanaka, Eiji Kawai, S. Shimojo

引用次数: 9

Improving Performance of Database Appliances on Distributed Object Storage 提高分布式对象存储上数据库设备的性能

2015 International Conference on Cloud Computing Research and Innovation (ICCCRI) Pub Date : 2015-10-26 DOI: 10.1109/ICCCRI.2015.21

Mohd Bazli Ab Karim, Luke Jing Yuan, Ming-Tat Wong, H. Ong

{"title":"Improving Performance of Database Appliances on Distributed Object Storage","authors":"Mohd Bazli Ab Karim, Luke Jing Yuan, Ming-Tat Wong, H. Ong","doi":"10.1109/ICCCRI.2015.21","DOIUrl":"https://doi.org/10.1109/ICCCRI.2015.21","url":null,"abstract":"Distributed object storage system has advantages in scalability and accessibility over standard block and file storage. However, the object approach lacks maturity when it comes to real-time systems such as transactional databases that are constantly being written. Specifically, the object approach cannot rival block-based systems for the dynamic read and write speeds required by disk resource-intensive applications such as databases. As more organizations migrate to cloud hosting solution, the need to address rapid application read and write will become top of the requirements list. This paper proposes a method to increase I/O performance of database appliances running in the cloud environment with distributed object storage as the underlying data stores. The proposed method involves separating the distributed storage's journal and data partitions to different hard drives and also separating a few database application directories to multiple RBD images from different storage pools in order to speed up the I/O operations. Experiments with SATA, SAS, and SSD type-drives with Ceph distributed storage system have been conducted based on proposed method and the results show significant performance compared to local drives and default distributed storage setup.","PeriodicalId":183970,"journal":{"name":"2015 International Conference on Cloud Computing Research and Innovation (ICCCRI)","volume":"373 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121665274","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

Certifying SaaS in the MTCS Framework 在MTCS框架中认证SaaS

2015 International Conference on Cloud Computing Research and Innovation (ICCCRI) Pub Date : 2015-10-26 DOI: 10.1109/ICCCRI.2015.12

Yao-Sing Tao, Hing-Yan Lee

引用次数: 2

Secure Voting in the Cloud Using Homomorphic Encryption and Mobile Agents 使用同态加密和移动代理的云中的安全投票

2015 International Conference on Cloud Computing Research and Innovation (ICCCRI) Pub Date : 2015-10-26 DOI: 10.1109/ICCCRI.2015.30

M. Will, B. Nicholson, Marc Tiehuis, R. Ko

{"title":"Secure Voting in the Cloud Using Homomorphic Encryption and Mobile Agents","authors":"M. Will, B. Nicholson, Marc Tiehuis, R. Ko","doi":"10.1109/ICCCRI.2015.30","DOIUrl":"https://doi.org/10.1109/ICCCRI.2015.30","url":null,"abstract":"While governments are transitioning to the cloud to leverage efficiency, transparency and accessibility advantages, public opinion - the backbone of democracy - is being left behind. Statistics show that traditional paper voting is failing to reach the technological-savvy generation, with voter turnout decreasing every election for many first-world countries. Remote electronic voting is a possible solution facilitator to this problem, but it still faces several security, privacy and accountability concerns. This paper introduces a practical application of partially homomorphic encryption to help address these challenges. We describe a cloud-based mobile electronic voting scheme, evaluating its security against a list of requirements, and benchmarking performance on the cloud and mobile devices. In order to protect voter privacy, we propose moving away from a public bulletin board so that no individual cipher votes are saved, while still allowing vote verification. As the majority of the security threats faced by electronic voting are from the underlying system, we also introduce the novel concept of using a dedicated hardware server for homomorphic tallying and decryption.","PeriodicalId":183970,"journal":{"name":"2015 International Conference on Cloud Computing Research and Innovation (ICCCRI)","volume":"743 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116093110","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: 17

An Integrated Cloud Platform for Rapid Interface Generation, Job Scheduling, Monitoring, Plotting, and Case Management of Scientific Applications 一个集成的云平台，用于快速生成界面，作业调度，监控，绘图和案例管理的科学应用

2015 International Conference on Cloud Computing Research and Innovation (ICCCRI) Pub Date : 2015-10-26 DOI: 10.1109/ICCCRI.2015.24

W. Brewer, W. Scott, John Sanford

引用次数: 2

SDN Controlled Local Re-routing to Reduce Congestion in Cloud Data Center SDN控制的本地重路由减少云数据中心的拥塞

2015 International Conference on Cloud Computing Research and Innovation (ICCCRI) Pub Date : 2015-10-26 DOI: 10.1109/ICCCRI.2015.27

Renuga Kanagavelu, Khin Mi Mi Aung

{"title":"SDN Controlled Local Re-routing to Reduce Congestion in Cloud Data Center","authors":"Renuga Kanagavelu, Khin Mi Mi Aung","doi":"10.1109/ICCCRI.2015.27","DOIUrl":"https://doi.org/10.1109/ICCCRI.2015.27","url":null,"abstract":"Data center networks require densely interconnected topologies to provide high bandwidth for various cloud computing services. It is required to fully utilize the bandwidth resource in such networks with varying traffic patterns. Conventional tree network topologies and routing mechanisms with single shortest path routing will cause congestion along oversubscribed links. Thus, path selection in a load-balanced way is needed to alleviate congestion and improve application performance. Multi-path routing algorithms can distribute traffic over diverse paths optimally than simple solutions like ECMP. They, however, require considerable computations, i.e. Frequently updating the path cost tree and dynamically optimizing path selections, thus they do not adapt well for large scale data center networks. In this paper, we propose a local rerouting mechanism in software defined networking (SDN) based Data Center networks to effectively manage congestion in the event of link congestion or failure. Unlike the works that deal with congestion by notifying the source which then reacts by rate adjustment or rerouting flows from source, our rerouting approach will re-forward flows (at the point of congestion or one hop before) to other possible paths based on our flow classification scheme. We demonstrate the effectiveness of our proposal through the simulation results on various topologies.","PeriodicalId":183970,"journal":{"name":"2015 International Conference on Cloud Computing Research and Innovation (ICCCRI)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127216391","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: 28

Handling Uncertainty and Diversity in Cloud Bandwidth Demands for Revenue Maximization 处理云带宽需求的不确定性和多样性以实现收益最大化

2015 International Conference on Cloud Computing Research and Innovation (ICCCRI) Pub Date : 2015-10-26 DOI: 10.1109/ICCCRI.2015.16

Tram Truong-Huu, M. Gurusamy

{"title":"Handling Uncertainty and Diversity in Cloud Bandwidth Demands for Revenue Maximization","authors":"Tram Truong-Huu, M. Gurusamy","doi":"10.1109/ICCCRI.2015.16","DOIUrl":"https://doi.org/10.1109/ICCCRI.2015.16","url":null,"abstract":"With the increasing demand for large bandwidth and diversity of bandwidth requests, to maximize the revenue, cloud providers nowadays try to offer different bandwidth request models that include guaranteed bandwidth reservation requests and on-demand flexible bandwidth requests. While guaranteed bandwidth reservation requests are beneficial for providers from the point of view of cash flow due to the upfront fee, it faces the problem of bandwidth under-utilization. On the other hand, on-demand flexible requests generate higher revenue, but they suffer from future demand uncertainty. Controlling the admission and trade-off between these kinds of requests while maximizing the revenue becomes a challenging problem for providers. In this paper, we present an optimal bandwidth allocation approach which supports the above bandwidth request models and maximizes the revenue for providers. We model the bandwidth allocation problem as a Markov Decision Process (MDP) which takes into account the utilization of guaranteed bandwidth reservation requests and the future demand uncertainty of on-demand flexible requests. We solve the MDP problem by using a dynamic programming algorithm. We demonstrate that the proposed model can be integrated into cloud data centers by leveraging on the new features of software defined networks to control the bandwidth for users. The numerical results show that the proposed model outperforms the baseline schemes and generates high revenue for providers.","PeriodicalId":183970,"journal":{"name":"2015 International Conference on Cloud Computing Research and Innovation (ICCCRI)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116019635","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