A. Celesti, Angelo Salici, M. Villari, A. Puliafito
Nowadays, cloud computing is considered as a new charming technology, where new opportunities in ICT world are becoming real. Cloud is appealing many IT companies, but the largest business is in hand of big cloud operators. In the near future the scenario could change, and becoming much more complex even involving small and medium providers. Cloud operators could collaborate to satisfy the increasing cloud customer demand. The security is one of the main aspects that might limit such a collaboration. This paper deals with the opportunity to leverage the Trusted Computing technology for encouraging the federation in trustiness among heterogeneous clouds. In this work, we describe how Trusted Computing may increase the security in clouds, in particular when VM migration takes place between federated providers.
{"title":"A Remote Attestation Approach for a Secure Virtual Machine Migration in Federated Cloud Environments","authors":"A. Celesti, Angelo Salici, M. Villari, A. Puliafito","doi":"10.1109/NCCA.2011.23","DOIUrl":"https://doi.org/10.1109/NCCA.2011.23","url":null,"abstract":"Nowadays, cloud computing is considered as a new charming technology, where new opportunities in ICT world are becoming real. Cloud is appealing many IT companies, but the largest business is in hand of big cloud operators. In the near future the scenario could change, and becoming much more complex even involving small and medium providers. Cloud operators could collaborate to satisfy the increasing cloud customer demand. The security is one of the main aspects that might limit such a collaboration. This paper deals with the opportunity to leverage the Trusted Computing technology for encouraging the federation in trustiness among heterogeneous clouds. In this work, we describe how Trusted Computing may increase the security in clouds, in particular when VM migration takes place between federated providers.","PeriodicalId":244026,"journal":{"name":"2011 First International Symposium on Network Cloud Computing and Applications","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114865783","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}
High-speed networks and low-cost commodity components which becomes progressively cheaper, faster and easily available, led Computer Science (CS) research focus shifting from programming computers to the question of how best to design, build, analyse, and operate networks [20]. New requirements and challenges are today met by the design of a new operational model which is enabled by an old technology (i.e. Virtualization), rather than the implementation of a new technology: Cloud Computing. Although CS is mainly fostering Cloud Computing solutions solely for specific fields, such as enterprise and transactional Web applications (e.g. Amazon EC 2 aws.amazon.com/ec2), this pervasive paradigm is generating a metaphor that enables to access and share software in the Internet as data in a way which is natural for human beings. It is in the opinion of this paper that CS should not ignore the empowerment brought by such a social media oriented Cloud approach. Supporting knowledge construction and social behaviour, individuals are actively engaged in envisioning a new participatory model for the future of cultural creation [12]. A structured approach to Virtualization is proposed as a mean of bringing insight into this new epistemic scenario. Two experiments dealing with Cloud Computing for Virtual heritage are shown as examples: NU.M.E. 2010 as a testing experience in a cultural Metaverse, which confirms the hypothesis of Cloud Computing as a novel paradigm for knowledge construction in the digital humanities; the CINECA MDC (“Museo della Città”) Project (2009-2011) as an applicative example which enabled to study in a real pipeline production properties of general interest for Virtual Heritage Projects. It is a case study in the VmusT.net European Project.
高速网络和低成本的商品组件变得越来越便宜，更快，更容易获得，这使得计算机科学(CS)的研究重点从编程计算机转移到如何最好地设计，构建，分析和运营网络的问题。今天，新的需求和挑战是通过设计一种新的操作模型来满足的，这种模型是由一种旧技术(即虚拟化)支持的，而不是实现一种新技术:云计算。尽管计算机科学主要是为特定领域培养云计算解决方案，例如企业和事务性Web应用程序(例如Amazon EC 2 aws.amazon.com/ec2)，但这种普遍的范式正在产生一种隐喻，使人们能够以一种对人类来说很自然的方式访问和共享互联网上的数据软件。本文认为，CS不应忽视这种以社交媒体为导向的云方式所带来的赋权。支持知识建设和社会行为，个人正积极参与展望未来文化创作的新参与式模式。提出了一种结构化的虚拟化方法，作为深入了解这种新的认知场景的一种手段。举例说明了两个处理虚拟遗产云计算的实验:num。2010年作为文化元宇宙的测试经验，证实了云计算作为数字人文学科知识构建的新范式的假设;CINECA MDC(“Museo della citt”)项目(2009-2011)作为一个应用实例，它能够研究虚拟遗产项目中普遍感兴趣的真实管道生产特性。它是VmusT.net欧洲项目中的一个案例研究。
{"title":"A Structured Approach to Virtualization in Order to Support a Social Media Oriented Cloud Computing","authors":"M. Spigarolo, Antonella Guidazzoli","doi":"10.1109/NCCA.2011.31","DOIUrl":"https://doi.org/10.1109/NCCA.2011.31","url":null,"abstract":"High-speed networks and low-cost commodity components which becomes progressively cheaper, faster and easily available, led Computer Science (CS) research focus shifting from programming computers to the question of how best to design, build, analyse, and operate networks [20]. New requirements and challenges are today met by the design of a new operational model which is enabled by an old technology (i.e. Virtualization), rather than the implementation of a new technology: Cloud Computing. Although CS is mainly fostering Cloud Computing solutions solely for specific fields, such as enterprise and transactional Web applications (e.g. Amazon EC 2 aws.amazon.com/ec2), this pervasive paradigm is generating a metaphor that enables to access and share software in the Internet as data in a way which is natural for human beings. It is in the opinion of this paper that CS should not ignore the empowerment brought by such a social media oriented Cloud approach. Supporting knowledge construction and social behaviour, individuals are actively engaged in envisioning a new participatory model for the future of cultural creation [12]. A structured approach to Virtualization is proposed as a mean of bringing insight into this new epistemic scenario. Two experiments dealing with Cloud Computing for Virtual heritage are shown as examples: NU.M.E. 2010 as a testing experience in a cultural Metaverse, which confirms the hypothesis of Cloud Computing as a novel paradigm for knowledge construction in the digital humanities; the CINECA MDC (“Museo della Città”) Project (2009-2011) as an applicative example which enabled to study in a real pipeline production properties of general interest for Virtual Heritage Projects. It is a case study in the VmusT.net European Project.","PeriodicalId":244026,"journal":{"name":"2011 First International Symposium on Network Cloud Computing and Applications","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128047101","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}
This paper describes an approach for identification of internal web server system anomalies affecting the quality of service. We assume that the problems are due to system resource starvation. We observe the response time of a web server while under various artificial workload. Simultaneously we collect data on several system resource parameters. Supervised machine learning based on regularization is done to correlate the high response time with observed system data. The research described is done with artificial workload, but we argue that the approach is applicable for any running web server. This type of analysis could be useful in web server, operating system or virtual machine rejuvenation.
{"title":"Machine Learning Techniques for Predicting Web Server Anomalies","authors":"M. Marinov, D. Avresky","doi":"10.1109/NCCA.2011.25","DOIUrl":"https://doi.org/10.1109/NCCA.2011.25","url":null,"abstract":"This paper describes an approach for identification of internal web server system anomalies affecting the quality of service. We assume that the problems are due to system resource starvation. We observe the response time of a web server while under various artificial workload. Simultaneously we collect data on several system resource parameters. Supervised machine learning based on regularization is done to correlate the high response time with observed system data. The research described is done with artificial workload, but we argue that the approach is applicable for any running web server. This type of analysis could be useful in web server, operating system or virtual machine rejuvenation.","PeriodicalId":244026,"journal":{"name":"2011 First International Symposium on Network Cloud Computing and Applications","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126597746","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 considered a booming trend in the world of information technology which depends on the idea of computing on demand. Cloud computing platform is a set of scalable data servers, providing computing and storage services. The cloud storage is a relatively basic and widely applied service which can provide users with stable, massive data storage space. Our research concerns with searching in content of different kind of files in the cloud based on ontology, this approach resolves the weaknesses that existed in Google File System that depends on metadata. In this paper, we are proposing new cloud storage architecture based on ontology that can store and retrieve files in the cloud based on its content. Our new architecture was tested on Cloud Storage Simulator and the result shows that the new architecture has better scalability, fault tolerance and performance.
{"title":"OCSS: Ontology Cloud Storage System","authors":"Haytham Tawfeek al Feel, M. Khafagy","doi":"10.1109/NCCA.2011.9","DOIUrl":"https://doi.org/10.1109/NCCA.2011.9","url":null,"abstract":"Cloud computing is considered a booming trend in the world of information technology which depends on the idea of computing on demand. Cloud computing platform is a set of scalable data servers, providing computing and storage services. The cloud storage is a relatively basic and widely applied service which can provide users with stable, massive data storage space. Our research concerns with searching in content of different kind of files in the cloud based on ontology, this approach resolves the weaknesses that existed in Google File System that depends on metadata. In this paper, we are proposing new cloud storage architecture based on ontology that can store and retrieve files in the cloud based on its content. Our new architecture was tested on Cloud Storage Simulator and the result shows that the new architecture has better scalability, fault tolerance and performance.","PeriodicalId":244026,"journal":{"name":"2011 First International Symposium on Network Cloud Computing and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125876814","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}
In this paper, we address a important and still unanswered question in mobile cloud computing "how mobility impacts the distributed processing power of network and computing clouds formed from mobile ad-hoc networks ?". Indeed, mobile ad-hoc networks potentially offer an aggregate cloud of resources delivering collectively processing, storage and networking resources. We demonstrate that the mobility can increase significantly the performances of distributed computation in such networks. In particular, we show that this improvement can be achieved more efficiently with mobility patterns that entail a dynamic small-world network structure on the mobile cloud. Moreover, we show that the small-world structure can improve significantly the resilience of mobile cloud computing services.
{"title":"How Mobility Increases Mobile Cloud Computing Processing Capacity","authors":"A. Nguyen, P. Sénac, Victor Ramiro","doi":"10.1109/NCCA.2011.15","DOIUrl":"https://doi.org/10.1109/NCCA.2011.15","url":null,"abstract":"In this paper, we address a important and still unanswered question in mobile cloud computing \"how mobility impacts the distributed processing power of network and computing clouds formed from mobile ad-hoc networks ?\". Indeed, mobile ad-hoc networks potentially offer an aggregate cloud of resources delivering collectively processing, storage and networking resources. We demonstrate that the mobility can increase significantly the performances of distributed computation in such networks. In particular, we show that this improvement can be achieved more efficiently with mobility patterns that entail a dynamic small-world network structure on the mobile cloud. Moreover, we show that the small-world structure can improve significantly the resilience of mobile cloud computing services.","PeriodicalId":244026,"journal":{"name":"2011 First International Symposium on Network Cloud Computing and Applications","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116355399","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}
M. G. Arenas, J. J. M. Guervós, P. Castillo, G. Romero, J. L. Laredo, A. García
In this paper we will check several different, and difficult, problems, and present what effects the automatic load-balancing and asynchrony have on the speed of resolution of problems. We conclude that the effects of parallelization are noted with difficult problems, although there is a complicated interplay between the number of nodes and migration rate that makes difficult to say exactly what is the best combination of them. This paper uses Drop box as free storage service to conect several heterogeous computers to run an evolutionary algorithm. The algorithmic performance of the system has been proved in previous papers.
{"title":"Cloud-based Evolutionary Parallel Computation Using Low Cost Storage Services","authors":"M. G. Arenas, J. J. M. Guervós, P. Castillo, G. Romero, J. L. Laredo, A. García","doi":"10.1109/NCCA.2011.16","DOIUrl":"https://doi.org/10.1109/NCCA.2011.16","url":null,"abstract":"In this paper we will check several different, and difficult, problems, and present what effects the automatic load-balancing and asynchrony have on the speed of resolution of problems. We conclude that the effects of parallelization are noted with difficult problems, although there is a complicated interplay between the number of nodes and migration rate that makes difficult to say exactly what is the best combination of them. This paper uses Drop box as free storage service to conect several heterogeous computers to run an evolutionary algorithm. The algorithmic performance of the system has been proved in previous papers.","PeriodicalId":244026,"journal":{"name":"2011 First International Symposium on Network Cloud Computing and Applications","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124202944","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 a paradigm for enabling remote, on-demand access to a set of configurable computing resources as a service. The pay-per-use model enables service providers to offer their services to customers in different Quality-of-Service (QoS) levels. These QoS parameters are used to compose some bipartisan Service Level Agreement (SLA) between a service provider and a service consumer. A main challenge for a service provider is to manage SLAs for its service consumers, i.e. automatically determine the appropriate resources required from the lower layer in order to respect the QoS requirements of his consumers. This paper proposes an optimization framework driven by consumer preferences to address the SLA dependencies problem across the different cloud layers as well as the need of flexibility and dynamicity required by the domain of Cloud computing. Our approach aims to select the optimal vertical business process designed by cross-layer cloud services, enforcing SLA dependencies between layers. Based on Constraint Programming (CP), our approach can take into account dynamic QoS parameters in a flexible manner to compose the best vertical business process. Experimental results demonstrate the flexibility and effectiveness of our approach.
{"title":"Cross-layer SLA Selection for Cloud Services","authors":"Yousri Kouki, T. Ledoux, R. Sharrock","doi":"10.1109/NCCA.2011.30","DOIUrl":"https://doi.org/10.1109/NCCA.2011.30","url":null,"abstract":"Cloud computing is a paradigm for enabling remote, on-demand access to a set of configurable computing resources as a service. The pay-per-use model enables service providers to offer their services to customers in different Quality-of-Service (QoS) levels. These QoS parameters are used to compose some bipartisan Service Level Agreement (SLA) between a service provider and a service consumer. A main challenge for a service provider is to manage SLAs for its service consumers, i.e. automatically determine the appropriate resources required from the lower layer in order to respect the QoS requirements of his consumers. This paper proposes an optimization framework driven by consumer preferences to address the SLA dependencies problem across the different cloud layers as well as the need of flexibility and dynamicity required by the domain of Cloud computing. Our approach aims to select the optimal vertical business process designed by cross-layer cloud services, enforcing SLA dependencies between layers. Based on Constraint Programming (CP), our approach can take into account dynamic QoS parameters in a flexible manner to compose the best vertical business process. Experimental results demonstrate the flexibility and effectiveness of our approach.","PeriodicalId":244026,"journal":{"name":"2011 First International Symposium on Network Cloud Computing and Applications","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114272419","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}
One of the main challenges to exploit the potential of Cloud computing is the efficient management of virtual resources supplied by cloud providers. In this paper, we deal with a business model of cloud computing, where third-part entities, the cloud brokers, work as intermediary between cloud providers and clients. Brokers are assumed to provide the intermediation service by addressing multiple cloud providers and this make the cloud environment very complex and dynamic. So, we present a new resource management architecture, able to support concurrent activities over the virtual resources. It abstracts all the resources given by different providers in a single framework, in order to allow brokers to perform seamless management services. To synchronize all the activities on the virtual resources, we propose the adoption of Transactional Memory (TM), a mechanism for controlling accesses to shared memory in concurrent computing. We present details on the implementation of a prototype of our resource management system and some preliminary results obtained through simulation analysis.
{"title":"Virtual Resource Management Based on Software Transactional Memory","authors":"M. Fazio, A. Puliafito","doi":"10.1109/NCCA.2011.8","DOIUrl":"https://doi.org/10.1109/NCCA.2011.8","url":null,"abstract":"One of the main challenges to exploit the potential of Cloud computing is the efficient management of virtual resources supplied by cloud providers. In this paper, we deal with a business model of cloud computing, where third-part entities, the cloud brokers, work as intermediary between cloud providers and clients. Brokers are assumed to provide the intermediation service by addressing multiple cloud providers and this make the cloud environment very complex and dynamic. So, we present a new resource management architecture, able to support concurrent activities over the virtual resources. It abstracts all the resources given by different providers in a single framework, in order to allow brokers to perform seamless management services. To synchronize all the activities on the virtual resources, we propose the adoption of Transactional Memory (TM), a mechanism for controlling accesses to shared memory in concurrent computing. We present details on the implementation of a prototype of our resource management system and some preliminary results obtained through simulation analysis.","PeriodicalId":244026,"journal":{"name":"2011 First International Symposium on Network Cloud Computing and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114084987","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}
With the explosive growth of the Internet and the incredible development of network applications, the variation in traffic volume has become one of the most important problems faced by network operators. Designing a network using a single ``busy hour'' traffic matrix strains credibility due to the high volatility of traffic patterns. Thus, there is a need for efficient dynamic reconfiguration methods allowing to adapt resource utilization to prevailing traffic. In this paper, we focus on the problem of link weight optimization in IP networks where the traffic is routed along shortest paths according to the link metrics (OSPF and IS-IS-based networks). We propose an online approach to handle time-varying traffic matrices that relies on online traffic monitoring and updates link weights, and thus the routing paths, adaptively as some changes are observed.
{"title":"Dynamic IGP Weight Optimization in IP Networks","authors":"O. Brun, Jean-Marie Garcia","doi":"10.1109/NCCA.2011.13","DOIUrl":"https://doi.org/10.1109/NCCA.2011.13","url":null,"abstract":"With the explosive growth of the Internet and the incredible development of network applications, the variation in traffic volume has become one of the most important problems faced by network operators. Designing a network using a single ``busy hour'' traffic matrix strains credibility due to the high volatility of traffic patterns. Thus, there is a need for efficient dynamic reconfiguration methods allowing to adapt resource utilization to prevailing traffic. In this paper, we focus on the problem of link weight optimization in IP networks where the traffic is routed along shortest paths according to the link metrics (OSPF and IS-IS-based networks). We propose an online approach to handle time-varying traffic matrices that relies on online traffic monitoring and updates link weights, and thus the routing paths, adaptively as some changes are observed.","PeriodicalId":244026,"journal":{"name":"2011 First International Symposium on Network Cloud Computing and Applications","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121518919","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}
V. Cardellini, E. Casalicchio, F. L. Presti, L. Silvestri
In the today Internet of Services, one of the challenges of Application Service Providers (ASPs) is to fulfill the QoS requirements stated in the Service Level Agreements (SLAs) established with different consumers and to minimize the investment and management costs. Cloud computing is the promising solution for ASPs that increasingly demand for an elastic infrastructure. In this paper, we formulate the ASP resource management as an optimization problem and propose both reactive and proactive heuristic policies that approximate the optimal solution. The proposed policies leverage on information about the system performance history and can be applied at runtime because of their reduced computational time. Our experimental results show that some heuristics based on prediction approximate the exact knowledge of the workload.
{"title":"SLA-aware Resource Management for Application Service Providers in the Cloud","authors":"V. Cardellini, E. Casalicchio, F. L. Presti, L. Silvestri","doi":"10.1109/NCCA.2011.11","DOIUrl":"https://doi.org/10.1109/NCCA.2011.11","url":null,"abstract":"In the today Internet of Services, one of the challenges of Application Service Providers (ASPs) is to fulfill the QoS requirements stated in the Service Level Agreements (SLAs) established with different consumers and to minimize the investment and management costs. Cloud computing is the promising solution for ASPs that increasingly demand for an elastic infrastructure. In this paper, we formulate the ASP resource management as an optimization problem and propose both reactive and proactive heuristic policies that approximate the optimal solution. The proposed policies leverage on information about the system performance history and can be applied at runtime because of their reduced computational time. Our experimental results show that some heuristics based on prediction approximate the exact knowledge of the workload.","PeriodicalId":244026,"journal":{"name":"2011 First International Symposium on Network Cloud Computing and Applications","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124627590","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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