Dujuan Gu, Xiaohan Liu, Gang Qin, Shuangjian Yan, Ze Luo, Baoping Yan
No more IPv4 address left with IANA or APNIC, IPv6 is critical to the Internet's continued growth. How can IPv6 be flexible and adaptive for a broad range of services? How can IPv6 network adapt to the services specified requirements with high quality of experiences to users? How can IPv6 network simplify management for services? How can IPv6 network provide reliable services? This paper is an attempt to answer these questions and proposes IPv6 Virtual Network Architecture (VNET6) to support flexible services in IPv6 network. Different from other network architecture proposed in the past, VNET6 supports incremental network evolution and VNET6 is an idealized service-oriented network architecture based on IPv6 and virtualization technologies. IPv6 is a critical protocol in VNET6 and Virtual networks are built above network layer of IPv6 protocol stack. Virtualization in VNET6 aims to be a scale-out architecture using multiple entities to build a logical entity. This paper presents the details of virtual consolidation, virtual partition and virtual service. VNET6 supports different services and has many advantages such as service flexibility, simple manageability and high reliability. Giving example considerations of optimizing video experience, VNET6 is adaptive to video service with high bandwidth and low tendency and improves quality of experiences to users.
{"title":"VNET6: SOA Based on IPv6 Virtual Network","authors":"Dujuan Gu, Xiaohan Liu, Gang Qin, Shuangjian Yan, Ze Luo, Baoping Yan","doi":"10.1109/CSC.2012.13","DOIUrl":"https://doi.org/10.1109/CSC.2012.13","url":null,"abstract":"No more IPv4 address left with IANA or APNIC, IPv6 is critical to the Internet's continued growth. How can IPv6 be flexible and adaptive for a broad range of services? How can IPv6 network adapt to the services specified requirements with high quality of experiences to users? How can IPv6 network simplify management for services? How can IPv6 network provide reliable services? This paper is an attempt to answer these questions and proposes IPv6 Virtual Network Architecture (VNET6) to support flexible services in IPv6 network. Different from other network architecture proposed in the past, VNET6 supports incremental network evolution and VNET6 is an idealized service-oriented network architecture based on IPv6 and virtualization technologies. IPv6 is a critical protocol in VNET6 and Virtual networks are built above network layer of IPv6 protocol stack. Virtualization in VNET6 aims to be a scale-out architecture using multiple entities to build a logical entity. This paper presents the details of virtual consolidation, virtual partition and virtual service. VNET6 supports different services and has many advantages such as service flexibility, simple manageability and high reliability. Giving example considerations of optimizing video experience, VNET6 is adaptive to video service with high bandwidth and low tendency and improves quality of experiences to users.","PeriodicalId":183800,"journal":{"name":"2012 International Conference on Cloud and Service Computing","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129702138","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}
Cloud Computing is regarded as a revolution of the IT industry. It is also a business model, in which the service provider should try to make best use of resources, reduce energy consumption and earn profits as much as possible. Scheduling strategy plays an important role in service providing. A priority based algorithm for scheduling virtual machines on physical hosts in cloud computing environment is proposed. The target of this algorithm is to maximize the benefits of the service providers in the case of current resources are not enough to process all the requests in time. In this strategy, the requests are ranked according to the profits they can bring. Through the experiments, this approach has been proven it can increase the benefits than applying typical first come first serve strategy.
{"title":"A Priority Based Scheduling Strategy for Virtual Machine Allocations in Cloud Computing Environment","authors":"Jing Xiao, Zhiyuan Wang","doi":"10.1109/CSC.2012.16","DOIUrl":"https://doi.org/10.1109/CSC.2012.16","url":null,"abstract":"Cloud Computing is regarded as a revolution of the IT industry. It is also a business model, in which the service provider should try to make best use of resources, reduce energy consumption and earn profits as much as possible. Scheduling strategy plays an important role in service providing. A priority based algorithm for scheduling virtual machines on physical hosts in cloud computing environment is proposed. The target of this algorithm is to maximize the benefits of the service providers in the case of current resources are not enough to process all the requests in time. In this strategy, the requests are ranked according to the profits they can bring. Through the experiments, this approach has been proven it can increase the benefits than applying typical first come first serve strategy.","PeriodicalId":183800,"journal":{"name":"2012 International Conference on Cloud and Service Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129829026","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}
Cloud computing as a new IT technology is burgeoning and an increasing number of providers are offering various web services related to cloud computing. Meanwhile, the demands of different kinds of users are also rising sharply. In order to maximize the revenue, a proper pricing model is in desperate need. Nowadays, most of the providers are using static pricing which neglects the changes of supply and demand. Since the web services are easy to access and can be used by a large number of users, a dynamic pricing model aimed at maximizing the revenue is proposed. Our dynamic pricing model can automatically adjust the prices of resources according to the demands from users and the pricing for packages is based on Apriori Algorithm. Furthermore, the dynamic pricing model also can be adjusted and optimized by Genetic Annealing Algorithm so as to well adapt to the changes of Supply and demand. Compared with the static pricing model, the dynamic pricing model can increase the revenue to a considerable extent.
{"title":"Self-Adaptive Cloud Pricing Strategies with Markov Prediction and Data Mining Method","authors":"Huazheng Qin, Xing Wu, Ji Hou, Hanyu Wang, Wu Zhang, Wanchun Dou","doi":"10.1109/CSC.2012.41","DOIUrl":"https://doi.org/10.1109/CSC.2012.41","url":null,"abstract":"Cloud computing as a new IT technology is burgeoning and an increasing number of providers are offering various web services related to cloud computing. Meanwhile, the demands of different kinds of users are also rising sharply. In order to maximize the revenue, a proper pricing model is in desperate need. Nowadays, most of the providers are using static pricing which neglects the changes of supply and demand. Since the web services are easy to access and can be used by a large number of users, a dynamic pricing model aimed at maximizing the revenue is proposed. Our dynamic pricing model can automatically adjust the prices of resources according to the demands from users and the pricing for packages is based on Apriori Algorithm. Furthermore, the dynamic pricing model also can be adjusted and optimized by Genetic Annealing Algorithm so as to well adapt to the changes of Supply and demand. Compared with the static pricing model, the dynamic pricing model can increase the revenue to a considerable extent.","PeriodicalId":183800,"journal":{"name":"2012 International Conference on Cloud and Service Computing","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129201575","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}
Ce Yang, Weiming Zhang, Jun Xu, Jiajia Xu, Nenghai Yu
Nowadays, more and more people outsource their data to cloud servers for great flexibility and economic savings. Due to considerations on security, private data is usually protected by encryption before sending to cloud. How to utilize data efficiently while preserving user's privacy is a new challenge. In this paper, we focus on a efficient multi-keyword search scheme meeting a strict privacy requirement. First, we make a short review of two existing schemes supporting multi-keyword search, the kNN-based MRSE scheme and scheme based on bloom filter. Based on the kNN-based scheme, we propose an improved scheme. Our scheme adopt a product of three sparse matrix pairs instead of the original dense matrix pair to encrypt index, and thus get a significant improvement in efficiency. Then, we combine our improved scheme with bloom filter, and thus gain the ability for index updating. Simulation Experiments show proposed scheme indeed introduces low overhead on computation and storage.
{"title":"A Fast Privacy-Preserving Multi-keyword Search Scheme on Cloud Data","authors":"Ce Yang, Weiming Zhang, Jun Xu, Jiajia Xu, Nenghai Yu","doi":"10.1109/CSC.2012.23","DOIUrl":"https://doi.org/10.1109/CSC.2012.23","url":null,"abstract":"Nowadays, more and more people outsource their data to cloud servers for great flexibility and economic savings. Due to considerations on security, private data is usually protected by encryption before sending to cloud. How to utilize data efficiently while preserving user's privacy is a new challenge. In this paper, we focus on a efficient multi-keyword search scheme meeting a strict privacy requirement. First, we make a short review of two existing schemes supporting multi-keyword search, the kNN-based MRSE scheme and scheme based on bloom filter. Based on the kNN-based scheme, we propose an improved scheme. Our scheme adopt a product of three sparse matrix pairs instead of the original dense matrix pair to encrypt index, and thus get a significant improvement in efficiency. Then, we combine our improved scheme with bloom filter, and thus gain the ability for index updating. Simulation Experiments show proposed scheme indeed introduces low overhead on computation and storage.","PeriodicalId":183800,"journal":{"name":"2012 International Conference on Cloud and Service Computing","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115786238","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}
Hongyan Mao, Ningkang Jiang, Wen Su, Linpeng Huang
It is a challenge to recommend Web services under multiple contexts. To address this challenge, we propose a context-aware collaborative filtering (CaCF) approach for service recommendation. Three types of contextual information, i.e. time, location and interest of user, are considered. In this approach, users' interests are extracted from service invocation records and represented as term-weight vectors. Neighbors are chosen according to the Cosine similarities of these vectors. Then, neighbors are filtered into close neighbors by location and time. At last, these close neighbors recommend service to a target user. We evaluate our method through comparing with other service recommendation approaches. The experimental results show that it achieves better precision and satisfaction rate than other two methods.
{"title":"A Context-aware Modeling Framework for Pervasive Applications","authors":"Hongyan Mao, Ningkang Jiang, Wen Su, Linpeng Huang","doi":"10.1109/CSC.2012.14","DOIUrl":"https://doi.org/10.1109/CSC.2012.14","url":null,"abstract":"It is a challenge to recommend Web services under multiple contexts. To address this challenge, we propose a context-aware collaborative filtering (CaCF) approach for service recommendation. Three types of contextual information, i.e. time, location and interest of user, are considered. In this approach, users' interests are extracted from service invocation records and represented as term-weight vectors. Neighbors are chosen according to the Cosine similarities of these vectors. Then, neighbors are filtered into close neighbors by location and time. At last, these close neighbors recommend service to a target user. We evaluate our method through comparing with other service recommendation approaches. The experimental results show that it achieves better precision and satisfaction rate than other two methods.","PeriodicalId":183800,"journal":{"name":"2012 International Conference on Cloud and Service Computing","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123663170","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}
Sensor network systems have received amounts of attention and become a common practice in many fields. These systems are commonly developed by non-standard technologies, which bring lots of difficulties in system integration and interoperability. To figure out this problem, an integrated sensor network system architecture based on Cloud computing is proposed, which offers anytime service to access different kinds of systems. By abstracting the general model of sensor network system, we present a new architecture and describe the detail model design. In order to confirm the feasibility of the architecture, a Cloud computing service system has been developed to integrate two existing systems. The result shows that the proposed architecture is effective and feasible.
{"title":"CCSA: A Cloud Computing Service Architecture for Sensor Networks","authors":"Zhongwen Guo, Chao Liu, Yuan Feng, Feng Hong","doi":"10.1109/CSC.2012.12","DOIUrl":"https://doi.org/10.1109/CSC.2012.12","url":null,"abstract":"Sensor network systems have received amounts of attention and become a common practice in many fields. These systems are commonly developed by non-standard technologies, which bring lots of difficulties in system integration and interoperability. To figure out this problem, an integrated sensor network system architecture based on Cloud computing is proposed, which offers anytime service to access different kinds of systems. By abstracting the general model of sensor network system, we present a new architecture and describe the detail model design. In order to confirm the feasibility of the architecture, a Cloud computing service system has been developed to integrate two existing systems. The result shows that the proposed architecture is effective and feasible.","PeriodicalId":183800,"journal":{"name":"2012 International Conference on Cloud and Service Computing","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130488364","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}
Cloud computing is an active area of research for industry and academia. There are a large number of organizations providing cloud computing infrastructure and services. In order to utilize these infrastructure resources and services, existing applications need to be migrated to clouds. However, a successful migration effort needs well-defined process support. It does not only help to identify and address challenges associated with migration but also provides a strategy to evaluate different platforms in relation to application and domain specific requirements. This paper present a process framework for supporting migration to cloud computing based on our experiences from migrating an Open Source System (OSS), Hackystat, to two different cloud computing platforms. We explained the process by performing a comparative analysis of our efforts to migrate Hackystate to Amazon Web Services and Google App Engine. We also report the potential challenges, suitable solutions, and lesson learned to support the presented process framework. We expect that the reported experiences can serve guidelines for those who intend to migrate software applications to cloud computing.
云计算是工业界和学术界的一个活跃研究领域。有大量的组织提供云计算基础设施和服务。为了利用这些基础设施资源和服务，需要将现有的应用程序迁移到云。然而，成功的迁移工作需要定义良好的过程支持。它不仅有助于识别和处理与迁移相关的挑战，而且还提供了一种策略来评估与应用程序和领域特定需求相关的不同平台。本文基于我们将开源系统Hackystat迁移到两个不同的云计算平台的经验，提出了一个支持迁移到云计算的过程框架。我们通过对我们将Hackystate迁移到Amazon Web Services和Google App Engine的工作进行比较分析来解释这个过程。我们还报告了潜在的挑战、合适的解决方案和经验教训，以支持所呈现的过程框架。我们希望报告的经验可以为那些打算将软件应用程序迁移到云计算的人提供指导。
{"title":"Towards Process Support for Migrating Applications to Cloud Computing","authors":"Muhammad Aufeef Chauhan, M. Babar","doi":"10.1109/CSC.2012.20","DOIUrl":"https://doi.org/10.1109/CSC.2012.20","url":null,"abstract":"Cloud computing is an active area of research for industry and academia. There are a large number of organizations providing cloud computing infrastructure and services. In order to utilize these infrastructure resources and services, existing applications need to be migrated to clouds. However, a successful migration effort needs well-defined process support. It does not only help to identify and address challenges associated with migration but also provides a strategy to evaluate different platforms in relation to application and domain specific requirements. This paper present a process framework for supporting migration to cloud computing based on our experiences from migrating an Open Source System (OSS), Hackystat, to two different cloud computing platforms. We explained the process by performing a comparative analysis of our efforts to migrate Hackystate to Amazon Web Services and Google App Engine. We also report the potential challenges, suitable solutions, and lesson learned to support the presented process framework. We expect that the reported experiences can serve guidelines for those who intend to migrate software applications to cloud computing.","PeriodicalId":183800,"journal":{"name":"2012 International Conference on Cloud and Service Computing","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121097472","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}
Success of cloud computing service depends on an acceptable pricing model, especially in the PaaS. As a dynamic platform, PaaS layer depends on the infrastructure layer and extends to the application layer. How to find an optimal pricing policy is the problem for the cloud providers in face of stochastic and dynamic demand. In this paper, we present an approach of dynamic pricing model in order to get max profits. We analyze the model by a multi-condition hybrid system. But we also use a theory of revenue maximization and cost minimization. When at a current state, the system content cost minimization to build a hybrid system for revenue maximization, we will get the most profits.
{"title":"Optimal Pricing of Multi-model Hybrid System for PaaS Cloud Computing","authors":"Hao Lu, Xing Wu, Wu Zhang, Jin Liu","doi":"10.1109/CSC.2012.42","DOIUrl":"https://doi.org/10.1109/CSC.2012.42","url":null,"abstract":"Success of cloud computing service depends on an acceptable pricing model, especially in the PaaS. As a dynamic platform, PaaS layer depends on the infrastructure layer and extends to the application layer. How to find an optimal pricing policy is the problem for the cloud providers in face of stochastic and dynamic demand. In this paper, we present an approach of dynamic pricing model in order to get max profits. We analyze the model by a multi-condition hybrid system. But we also use a theory of revenue maximization and cost minimization. When at a current state, the system content cost minimization to build a hybrid system for revenue maximization, we will get the most profits.","PeriodicalId":183800,"journal":{"name":"2012 International Conference on Cloud and Service Computing","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117104485","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}
Continuous real-time data stream show its significance in many applications under Cloud computing. Traditional high availability mechanism for data stream processing systems is dedicated and tightly coupled, and brings difficulties on maintenance or extension if requirements change. In this paper, basic endpoint-to-endpoint transmission is separated as general services from particular systems to independently provide no-loss guarantee of upstream data, through which high level extended HA mechanism can be realized conveniently. Comprehensive experiments illustrate that the overhead of the services is quite small and the tradeoff between guarantee and overheads is acceptable.
{"title":"Stream-oriented Availability Services for Endpoint-to-endpoint Data Transmission","authors":"Weilong Ding, Yanbo Han, Zhuofeng Zhao, Jing Wang","doi":"10.1109/CSC.2012.40","DOIUrl":"https://doi.org/10.1109/CSC.2012.40","url":null,"abstract":"Continuous real-time data stream show its significance in many applications under Cloud computing. Traditional high availability mechanism for data stream processing systems is dedicated and tightly coupled, and brings difficulties on maintenance or extension if requirements change. In this paper, basic endpoint-to-endpoint transmission is separated as general services from particular systems to independently provide no-loss guarantee of upstream data, through which high level extended HA mechanism can be realized conveniently. Comprehensive experiments illustrate that the overhead of the services is quite small and the tradeoff between guarantee and overheads is acceptable.","PeriodicalId":183800,"journal":{"name":"2012 International Conference on Cloud and Service Computing","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124249385","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}
Xiuwei Zhang, K. He, Jian Wang, Jianxiao Liu, Chong Wang, Hengkuan Lu
As one of the fundamental technologies in cloud computing, services computing is playing a critical role to enable provisioning of software as a service (SaaS). However, how to effectively and efficiently develop and deploy personalized SaaS and enterprise mashups on the cloud platforms remain a big research challenge. SaaS developers and researchers may adopt certain strategies by leveraging existing services available in the cloud and using model driven approach. They can compose and design new value-added services as on-demand SaaS and enterprise mashup applications deployed on cloud platform. In this paper, we propose an On-Demand Service-Oriented Model Driven Architecture (ODSOMDA) approach that involves adding Service Oriented Architecture (SOA) elements into MDA to realize the model transformation based on a Role&Goal-Process-Service (RGPS) meta-model. The meta-level analysis of MDA is applied to facilitate construction of SaaS and mashup applications through three-layer automatic (semi-automatic) model transformation. Finally, we develop an enterprise mashup prototype as a practical case study to prove the effectiveness of the proposed approach.
{"title":"On-Demand Service-Oriented MDA Approach for SaaS and Enterprise Mashup Application Development","authors":"Xiuwei Zhang, K. He, Jian Wang, Jianxiao Liu, Chong Wang, Hengkuan Lu","doi":"10.1109/CSC.2012.22","DOIUrl":"https://doi.org/10.1109/CSC.2012.22","url":null,"abstract":"As one of the fundamental technologies in cloud computing, services computing is playing a critical role to enable provisioning of software as a service (SaaS). However, how to effectively and efficiently develop and deploy personalized SaaS and enterprise mashups on the cloud platforms remain a big research challenge. SaaS developers and researchers may adopt certain strategies by leveraging existing services available in the cloud and using model driven approach. They can compose and design new value-added services as on-demand SaaS and enterprise mashup applications deployed on cloud platform. In this paper, we propose an On-Demand Service-Oriented Model Driven Architecture (ODSOMDA) approach that involves adding Service Oriented Architecture (SOA) elements into MDA to realize the model transformation based on a Role&Goal-Process-Service (RGPS) meta-model. The meta-level analysis of MDA is applied to facilitate construction of SaaS and mashup applications through three-layer automatic (semi-automatic) model transformation. Finally, we develop an enterprise mashup prototype as a practical case study to prove the effectiveness of the proposed approach.","PeriodicalId":183800,"journal":{"name":"2012 International Conference on Cloud and Service Computing","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125948702","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}
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