2013 IEEE 5th International Conference on Cloud Computing Technology and Science最新文献_第3页

Prevent VM Migration in Virtualized Clusters via Deadline Driven Placement Policy 通过“截止日期驱动放置策略”防止虚拟化集群中的虚拟机迁移

2013 IEEE 5th International Conference on Cloud Computing Technology and Science Pub Date : 2013-12-02 DOI: 10.1109/CloudCom.2013.85

M. Tsai, J. Chou, Jye Chen

{"title":"Prevent VM Migration in Virtualized Clusters via Deadline Driven Placement Policy","authors":"M. Tsai, J. Chou, Jye Chen","doi":"10.1109/CloudCom.2013.85","DOIUrl":"https://doi.org/10.1109/CloudCom.2013.85","url":null,"abstract":"VM consolidation has been shown as a promising technique for saving energy costs of a data center. It relies on VM migration to move user applications or jobs onto fewer numbers of physical servers during off peak hour. However, VM migration is a costly operation that could cause several concerns, such as performance degradation and system instability. Most existing works were proposed to minimize the migration cost for dynamic consolidation which migrates VM at the runtime when SLA violation or resource under-utilization is detected. In contrast, this paper aims to proactively prevent VM migration for semi-static VM consolidation by proposing a deadline driven VM placement strategy based on the awareness of the server turn-off time and job execution time. We evaluate our approach using a real HPC cluster trace as well as a set of synthetic generated workloads. The results show our approach can significantly reduce the number of migrations by 70% on the real trace. We also demonstrate that our approach can be resilient to different workload patterns by achieving consistent improvement around 50% over all the synthetic workloads.","PeriodicalId":198053,"journal":{"name":"2013 IEEE 5th International Conference on Cloud Computing Technology and Science","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124423609","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

Implementing a Resilient Application Architecture for State Management on a PaaS Cloud 在PaaS云上实现状态管理的弹性应用程序架构

2013 IEEE 5th International Conference on Cloud Computing Technology and Science Pub Date : 2013-12-02 DOI: 10.1109/CloudCom.2013.26

V. Sharma, Aravindan Santharam

{"title":"Implementing a Resilient Application Architecture for State Management on a PaaS Cloud","authors":"V. Sharma, Aravindan Santharam","doi":"10.1109/CloudCom.2013.26","DOIUrl":"https://doi.org/10.1109/CloudCom.2013.26","url":null,"abstract":"Platform as a Service Clouds typically lack direct support for application state management, and traditional state management techniques like clustering are not applicable as PaaS platforms offer little support for changing the underlying platform configuration. In this paper we build upon our earlier work where we proposed a session-state management architecture for Cloud called ReLoC, that uses loosely-coupled services and platform agnostic scalable messaging technology to propagate and save session states. Here, we present an actual implementation of the ReLoC onto a PaaS platform and an empirical evaluation of the original hypotheses of scalability and resilience of the proposed application architecture. We also present the challenges faced in implementing ReLoC on Heroku. The results indicate that ReLoC indeed allows applications to scale well and mitigates failures in individual application instances while maintaining state and hiding such failures from the users. The results also indicate that the performance degradation due to use of ReLoC is minimal and it is thus a promising approach for resilient user state management on PaaS Clouds.","PeriodicalId":198053,"journal":{"name":"2013 IEEE 5th International Conference on Cloud Computing Technology and Science","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125975735","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: 3

Towards Performance Prediction for Public Infrastructure Clouds: An EC2 Case Study 面向公共基础设施云的性能预测:一个EC2案例研究

2013 IEEE 5th International Conference on Cloud Computing Technology and Science Pub Date : 2013-12-02 DOI: 10.1109/CloudCom.2013.69

J. O’Loughlin, Lee Gillam

引用次数: 23

Monitoring and Reconfiguration for OCCI Resources OCCI资源的监控和重新配置

2013 IEEE 5th International Conference on Cloud Computing Technology and Science Pub Date : 2013-12-02 DOI: 10.1109/CloudCom.2013.78

Mohamed Mohamed, Djamel Belaïd, S. Tata

引用次数: 11

Symmetrically-Private Database Search in Cloud Computing 云计算中的对称私有数据库搜索

2013 IEEE 5th International Conference on Cloud Computing Technology and Science Pub Date : 2013-12-02 DOI: 10.1109/CloudCom.2013.95

S. Barouti, D. Alhadidi, M. Debbabi

{"title":"Symmetrically-Private Database Search in Cloud Computing","authors":"S. Barouti, D. Alhadidi, M. Debbabi","doi":"10.1109/CloudCom.2013.95","DOIUrl":"https://doi.org/10.1109/CloudCom.2013.95","url":null,"abstract":"Database outsourcing has gained importance in the past few years due to the emergence of the cloud computing. In Database-as-a-Service (DaaS), which is a category of cloud computing services, the database owner outsources both databases and querying services to a cloud server and clients issue queries over the database to the cloud server. In this context, privacy is a primary challenge and it is necessary to fulfill main privacy requirements of database owners and clients. This paper presents protocols for executing keyword search and aggregate SQL queries that preserve the privacy of both the client and the database owner. Client privacy is preserved such that the database owner and the cloud server cannot infer the constants contained in the query predicates. Database owner privacy is preserved such that the client cannot obtain any additional information beyond the query result. The primitives that are utilized in designing these protocols include symmetric private information retrieval and private integer comparison. We experimentally evaluate the performance of the proposed protocols and report on the experimental results.","PeriodicalId":198053,"journal":{"name":"2013 IEEE 5th International Conference on Cloud Computing Technology and Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129129161","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

Compliance-Preserving Cloud Storage Federation Based on Data-Driven Usage Control 基于数据驱动使用控制的合规性保持云存储联合

2013 IEEE 5th International Conference on Cloud Computing Technology and Science Pub Date : 2013-12-02 DOI: 10.1109/CloudCom.2013.149

Tobias Wüchner, Steffen Müller, R. Fischer

引用次数: 12

Vehicle Witnesses as a Service: Leveraging Vehicles as Witnesses on the Road in VANET Clouds 车辆证人即服务:利用车辆作为证人在道路上的VANET云

2013 IEEE 5th International Conference on Cloud Computing Technology and Science Pub Date : 2013-12-02 DOI: 10.1109/CloudCom.2013.64

Rasheed Hussain, Fizza Abbas, Junggab Son, Donghyun Kim, Sangjin Kim, Heekuck Oh

引用次数: 52

Orchestration of Distributed Storage Targets through Storage Flows 通过存储流编排分布式存储目标

2013 IEEE 5th International Conference on Cloud Computing Technology and Science Pub Date : 2013-12-02 DOI: 10.1109/CloudCom.2013.168

Josef Spillner, A. Schill

{"title":"Orchestration of Distributed Storage Targets through Storage Flows","authors":"Josef Spillner, A. Schill","doi":"10.1109/CloudCom.2013.168","DOIUrl":"https://doi.org/10.1109/CloudCom.2013.168","url":null,"abstract":"Distributed data storage is a topic of growing importance due to the mounting pressure to find the right balance between capacity, cost, privacy and other non-functional properties. Compared to central storage on physical media, on the network or in a cloud storage service, advanced data distribution techniques offer additional safety, security and performance. On the downside, these advantages come with a much higher complexity regarding the choice and configuration of where to store which parts of the data, and subsequent verification of where which data had been stored. Often, the storage targets must be configured individually while a centrally and locally accessible configuration interface with an appropriate propagation and verification mechanism would be more suitable. The complexity is further increased by additional data pre-processing tasks which are selectively applied to some of the targets. Compression, encryption and deduplication are typically present in pre-processing. With Storage Flows, we propose a new concept to manage distributed storage flows through systematic orchestration. The flows connect clients flexibly with intermediate data pre-processing tasks and finally the storage targets. We show that Storage Flows can be formalised and demonstrate their practical usefulness with implemented configuration and verification tools.","PeriodicalId":198053,"journal":{"name":"2013 IEEE 5th International Conference on Cloud Computing Technology and Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125912392","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

Optimizing Live Migration for Virtual Desktop Clouds 优化虚拟桌面云热迁移

2013 IEEE 5th International Conference on Cloud Computing Technology and Science Pub Date : 2013-12-02 DOI: 10.1109/CloudCom.2013.21

Changyeon Jo, Bernhard Egger

引用次数: 11

ClouDedup: Secure Deduplication with Encrypted Data for Cloud Storage ClouDedup:云存储加密数据的安全重复数据删除

2013 IEEE 5th International Conference on Cloud Computing Technology and Science Pub Date : 2013-12-02 DOI: 10.1109/CloudCom.2013.54

P. Puzio, R. Molva, Melek Önen, Sergio Loureiro

{"title":"ClouDedup: Secure Deduplication with Encrypted Data for Cloud Storage","authors":"P. Puzio, R. Molva, Melek Önen, Sergio Loureiro","doi":"10.1109/CloudCom.2013.54","DOIUrl":"https://doi.org/10.1109/CloudCom.2013.54","url":null,"abstract":"With the continuous and exponential increase of the number of users and the size of their data, data deduplication becomes more and more a necessity for cloud storage providers. By storing a unique copy of duplicate data, cloud providers greatly reduce their storage and data transfer costs. The advantages of deduplication unfortunately come with a high cost in terms of new security and privacy challenges. We propose ClouDedup, a secure and efficient storage service which assures block-level deduplication and data confidentiality at the same time. Although based on convergent encryption, ClouDedup remains secure thanks to the definition of a component that implements an additional encryption operation and an access control mechanism. Furthermore, as the requirement for deduplication at block-level raises an issue with respect to key management, we suggest to include a new component in order to implement the key management for each block together with the actual deduplication operation. We show that the overhead introduced by these new components is minimal and does not impact the overall storage and computational costs.","PeriodicalId":198053,"journal":{"name":"2013 IEEE 5th International Conference on Cloud Computing Technology and Science","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125096455","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: 176