2014 IEEE 6th International Conference on Cloud Computing Technology and Science最新文献

Models@run.time for Creating In-Cloud Dynamic Cyber-Physical Ecosystems Models@run.time用于创建云内动态网络物理生态系统

2014 IEEE 6th International Conference on Cloud Computing Technology and Science Pub Date : 2014-12-15 DOI: 10.1109/CloudCom.2014.158

Amirhosein Taherkordi, F. Eliassen

{"title":"Models@run.time for Creating In-Cloud Dynamic Cyber-Physical Ecosystems","authors":"Amirhosein Taherkordi, F. Eliassen","doi":"10.1109/CloudCom.2014.158","DOIUrl":"https://doi.org/10.1109/CloudCom.2014.158","url":null,"abstract":"The applications of Cyber-Physical Systems (CPSs) in large scale, mobile and distributed systems, such as transportation and healthcare systems, foster the development of novel cross-CPS applications. Services, in such applications, enable the emergence of multiple end-to-end cyber-physical scenarios, formed dynamically based on their demands, e.g., Disaster recovery systems. This calls for new distributed service composition models that integrate different CPS services from multiple application domains for a given purpose -- CPS ecosystems. The in-Cloud availability of CPSs can significantly improve the development process of such ecosystems thanks to the global and rapid accessibility of CPS services in the Cloud. However, a major challenge in this context is the highly dynamic nature of CPS services, making service composition a challenging issue. In this paper, we propose to exploit the concept of models at runtime in order to create a dynamic middleware framework that allows efficient composition of CPS services in dynamic and on-demand CPS ecosystems. This is achieved by obtaining the runtime models of CPS services and synthesizing software mediators that translate the communications between individual CPS services residing in the Cloud. The in-Cloud availability of CPS services will facilitate the design of such a middleware framework, and processing and maintaining the runtime models.","PeriodicalId":249306,"journal":{"name":"2014 IEEE 6th International Conference on Cloud Computing Technology and Science","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115223653","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: 7

Selection of the Proper Revenue and Pricing Model for SaaS SaaS收入与定价模式的选择

2014 IEEE 6th International Conference on Cloud Computing Technology and Science Pub Date : 2014-12-15 DOI: 10.1109/CLOUDCOM.2014.27

Arto Ojala

引用次数: 3

A Cloud-Based Architecture for Home Network System 基于云的家庭网络系统架构

2014 IEEE 6th International Conference on Cloud Computing Technology and Science Pub Date : 2014-12-15 DOI: 10.1109/CloudCom.2014.125

Satoshi Takatori, S. Matsumoto, S. Saiki, S. Tokunaga, Junho Lee, Masahide Nakamura

引用次数: 2

Applying QoS in Software Defined Networks by Using WS-agreement 利用ws -协议在软件定义网络中实现QoS

2014 IEEE 6th International Conference on Cloud Computing Technology and Science Pub Date : 2014-12-15 DOI: 10.1109/CloudCom.2014.26

Marc Körner, Alexander Stanik, O. Kao

引用次数: 7

Open Stack Secure Enterprise File Sync and Share Turnkey Solution 开放堆栈安全企业文件同步和共享交钥匙解决方案

2014 IEEE 6th International Conference on Cloud Computing Technology and Science Pub Date : 2014-12-15 DOI: 10.1109/CloudCom.2014.17

Yen-Hung Kuo, Tzu-Wei Yeh, Guang-Yan Zheng, Jyun-Kai Wu, Chao-Chin Yang, Jia-Ming Lin

{"title":"Open Stack Secure Enterprise File Sync and Share Turnkey Solution","authors":"Yen-Hung Kuo, Tzu-Wei Yeh, Guang-Yan Zheng, Jyun-Kai Wu, Chao-Chin Yang, Jia-Ming Lin","doi":"10.1109/CloudCom.2014.17","DOIUrl":"https://doi.org/10.1109/CloudCom.2014.17","url":null,"abstract":"The Enterprise File Sync and Share (EFSS) is one of the most important services to provide enterprises' employees with cloud file sync, share, and collaboration services. To take enterprises' concerns into account, such as security, privacy, compliance, and regulation, the existing EFSS solutions are either using private (on-premise) or hybrid cloud service model to provide their services. They usually emphasize that files stored in the solutions are encrypted on transfer and at rest and events occurred in the service are logged as the audit trail. However, support of data encryption and audit trail are not capable of protecting enterprise sensitive data from not well addressed security issues of the EFSS service. The security issues, including employee privacy protection, management of share links and synchronized cloud files, and the secure enterprise directory integration, are pointed out in this article. To address these issues, this work proposes and develops a scalable Secure EFSS service which can be deployed on the on-premise Open Stack cloud infrastructure to securely provide employees with EFSS service. Designs of an integrated security approach are introduced in this article, including data and metadata isolations, Distinct Share Link utility, encryption key management for personal and shared files, sandbox-based cloud file synchronization, and out-of-band authentication method.","PeriodicalId":249306,"journal":{"name":"2014 IEEE 6th International Conference on Cloud Computing Technology and Science","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127086869","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

Broker as a Service (BaaS) Pricing and Resource Estimation Model 代理即服务(BaaS)定价和资源估计模型

2014 IEEE 6th International Conference on Cloud Computing Technology and Science Pub Date : 2014-12-15 DOI: 10.1109/CloudCom.2014.57

Mohammad Aazam, E. Huh

{"title":"Broker as a Service (BaaS) Pricing and Resource Estimation Model","authors":"Mohammad Aazam, E. Huh","doi":"10.1109/CloudCom.2014.57","DOIUrl":"https://doi.org/10.1109/CloudCom.2014.57","url":null,"abstract":"Rapidly increasing digital media has triggered the importance of cloud computing. Cloud computing provides ease of management and ubiquitous access facility to the growing digital content. The ratio with which digital content has been increasing, it now requires multiple clouds to interoperate for the purpose of scalability, efficient service provisioning, and better management. This scenario is known as inter-cloud computing or cloud federation. One of the key entities in inter-cloud computing is cloud broker. Cloud broker is a match-maker between the service provider and the customer. Broker plays its role to reserve resources and perform pricing and billing. Service providers experience customers having different traits and characteristics. Some tend to utilize all of the resources, while others may quit in between, due to various reasons. Based on the characteristics of customers, their resources are predicted and pricing is performed. We have proposed a model which addresses this issue by determining resources and prices, on the basis of historical record of each customer. We have implemented our model using Java / Net Beans 8.0 and tested on Cloud Sim 3.0.3 toolkit. The results presented here justify and endorse our model.","PeriodicalId":249306,"journal":{"name":"2014 IEEE 6th International Conference on Cloud Computing Technology and Science","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115063205","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: 25

A Mantrap-Inspired, User-Centric Data Leakage Prevention (DLP) Approach mantrap启发，以用户为中心的数据泄漏预防(DLP)方法

2014 IEEE 6th International Conference on Cloud Computing Technology and Science Pub Date : 2014-12-15 DOI: 10.1109/CloudCom.2014.23

R. Ko, Yu Shyang Tan, Ting Gao

{"title":"A Mantrap-Inspired, User-Centric Data Leakage Prevention (DLP) Approach","authors":"R. Ko, Yu Shyang Tan, Ting Gao","doi":"10.1109/CloudCom.2014.23","DOIUrl":"https://doi.org/10.1109/CloudCom.2014.23","url":null,"abstract":"The ease of sharing information through the Internet and Cloud Computing inadvertently introduces a growing problem of data leakages. At the same time, many end-users are unaware that their data was leaked or stolen since most data is leaked by operations running in the background. This paper introduces a novel user-centric, mantrap-inspired data leakage prevention (DLP) approach that can discover, present any sending of data -- both authorized and unauthorized -- to end-users and subsequently provide them the ability to stop the sending process. We implemented our own kernel module to work together with our user-space program in getting user's approval for every sending process -- giving the user full control over all outbound data sending process in their devices. With this, the end-user can always decide which data sending process should be allowed or blocked. This overcomes the limitations of current, often inflexible and inaccurate DLP solutions depending on pre-set rules and content detection. We showcase a proof-of-concept for our new way of detecting data leakages in an end user's device. This paves the way for further research covering more complex data stealing techniques, such as the use of covert channels.","PeriodicalId":249306,"journal":{"name":"2014 IEEE 6th International Conference on Cloud Computing Technology and Science","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116139471","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

SaaS Dynamic Evolution Based on Model-Driven Software Product Lines 基于模型驱动软件产品线的SaaS动态演化

2014 IEEE 6th International Conference on Cloud Computing Technology and Science Pub Date : 2014-12-15 DOI: 10.1109/CloudCom.2014.131

Fatma Mohamed, Mohammad Abu-Matar, R. Mizouni, M. Al-Qutayri, Z. Mahmoud

{"title":"SaaS Dynamic Evolution Based on Model-Driven Software Product Lines","authors":"Fatma Mohamed, Mohammad Abu-Matar, R. Mizouni, M. Al-Qutayri, Z. Mahmoud","doi":"10.1109/CloudCom.2014.131","DOIUrl":"https://doi.org/10.1109/CloudCom.2014.131","url":null,"abstract":"Cloud computing is an emerging paradigm that provides scalable computing and storage capabilities where resources are accessed on a pay-as-you-go basis. Software as a Service (SaaS) applications are hosted in the cloud and made available as services for tenants' organizations over a network. To achieve reusability in cloud computing, software and hardware resources are shared among multiple tenants. Conventional multitenant SaaS applications provide the same set of services for all tenants thus resulting in one-size-fits-all applications. However, as tenants may have different requirements, customizable SaaS solutions are needed. To accommodate evolving tenants' requirements, the SaaS instance should evolve systematically. In this paper, we present a multitenant single instance SaaS evolution platform based on Software Product Lines (SPLs). The platform specifies a set of evolution rules, based on feature modeling, that govern evolution decisions. We also present the early implementation phases of the proposed approach based on SPLs and Model Driven Architecture (MDA) concepts.","PeriodicalId":249306,"journal":{"name":"2014 IEEE 6th International Conference on Cloud Computing Technology and Science","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122550031","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: 12

A Model-Based Autonomous Engine for Application Runtime Environment Configuration and Deployment in PaaS Cloud PaaS云中基于模型的应用运行时环境配置与部署自治引擎

2014 IEEE 6th International Conference on Cloud Computing Technology and Science Pub Date : 2014-12-15 DOI: 10.1109/CloudCom.2014.80

X. Lan, Yanping Liu, Xing Chen, Yicheng Huang, Bing Lin, Wenzhong Guo

{"title":"A Model-Based Autonomous Engine for Application Runtime Environment Configuration and Deployment in PaaS Cloud","authors":"X. Lan, Yanping Liu, Xing Chen, Yicheng Huang, Bing Lin, Wenzhong Guo","doi":"10.1109/CloudCom.2014.80","DOIUrl":"https://doi.org/10.1109/CloudCom.2014.80","url":null,"abstract":"Cloud Computing is evolving as a key computing paradigm for sharing resources. One type of Cloud, which provides platform resources including all the elements of application runtime environment, is regarded as PaaS Cloud. The management of PaaS Cloud is a complex task, up to the point, where manual operation is hard to be cost effective. As the application runtime environment is supported by a set of dynamically composed, distributed elements. What is more, in order to achieve a management target, multiple operations have to be applied over the distributed and heterogeneous elements of PaaS Cloud. To improve the management of PaaS Cloud, this paper proposes to support the configuration and deployment of application runtime environment in PaaS Cloud with an autonomous engine. The automation is enabled by the definition of a domain-specific information model, which captures all the related information with the same abstractions, describing the application runtime environment, PaaS Cloud infrastructure and management targets. On top of that, a technique based on Satisfiability is described, which automatically analyses the state of the managed objects and plans required operations for maintaining it. The result from a case study is provided to validate the feasibility of this approach.","PeriodicalId":249306,"journal":{"name":"2014 IEEE 6th International Conference on Cloud Computing Technology and Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128769642","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

Energy Efficiency Dilemma: P2P-cloud vs. Datacenter 能源效率困境:p2p云与数据中心

2014 IEEE 6th International Conference on Cloud Computing Technology and Science Pub Date : 2014-12-15 DOI: 10.1109/CloudCom.2014.137

Leila Sharifi, N. Rameshan, Felix Freitag, L. Veiga

{"title":"Energy Efficiency Dilemma: P2P-cloud vs. Datacenter","authors":"Leila Sharifi, N. Rameshan, Felix Freitag, L. Veiga","doi":"10.1109/CloudCom.2014.137","DOIUrl":"https://doi.org/10.1109/CloudCom.2014.137","url":null,"abstract":"Energy consumption is increasing in the IT sector and a remarkable part of this energy is consumed in data centers. Numerous techniques have been proposed to solve the energy efficiency issue in cloud systems. Recently, there are some efforts to decentralize the cloud via distributing data centers in diverse geographical positions. In this paper, we elaborate on the energy consumption of different cloud architectures, from a mega-datacenter to a P2P-cloud that provides extreme decentralization in terms of datacenter size. P2P-cloud is defined as a set of commodity host machines, connected to each other to serve a community. Our evaluation results reveal the fact that the more decentralized the system is, the less energy may be consumed in the system. Studying the energy efficiency of P2P-cloud infrastructure shows that the additional system design complexity involved is warranted with improved energy-efficiency and better locality for some services. Our analysis indicates that such P2P-cloud outperforms the classic datacenter model as long as it meets the locality conditions, which are commonplace in communities. Moreover, we illustrate how much energy can be saved for MapReduce applications with a diverse range of specifications by switching to P2P-cloud.","PeriodicalId":249306,"journal":{"name":"2014 IEEE 6th International Conference on Cloud Computing Technology and Science","volume":"1998 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128253099","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: 22