2011 IEEE Third International Conference on Cloud Computing Technology and Science最新文献

{"title":"Cloud Computing Interoperability: The State of Play","authors":"Nikos Loutas, Eleni Kamateri, F. Bosi, K. Tarabanis","doi":"10.1109/CloudCom.2011.116","DOIUrl":"https://doi.org/10.1109/CloudCom.2011.116","url":null,"abstract":"Cloud computing is a promising IT paradigm which enables the Internet¢s evolution into a global market of collaborating services. Cloud computing semantic interoperability plays a key role in making this a reality. Towards this direction, a comprehensive and systematic survey of Cloud computing interoperability efforts by standardization groups, industry and research community is carried out. The main objective of this survey is to derive an initial set of semantic interoperability requirements to be supported by existing as well as next generation Cloud systems. Ôhe survey motivates and encourages the Cloud community to adopt a common Cloud computing interoperability framework with core dimensions the creation of a common data model and a standardized Cloud interface (API), which will constitute the base for the development of a semantically interoperable Cloud environment.","PeriodicalId":427190,"journal":{"name":"2011 IEEE Third International Conference on Cloud Computing Technology and Science","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114426938","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}

{"title":"Obtaining the Integrity of Your Virtual Machine in the Cloud","authors":"Aimin Yu, Yu Qin, Dan Wang","doi":"10.1109/CloudCom.2011.37","DOIUrl":"https://doi.org/10.1109/CloudCom.2011.37","url":null,"abstract":"Infrastructure-as-a-service(IaaS) cloud provides the user the ability to use the computing resource of the cloud provider through renting a virtual machine(VM). At the same time it becomes an essential requirement for the user to verify the integrity of his VM. In this paper we designed and implemented TCG(trusted computing group)-based remote attestation for the Xen VM under the assumption that the trusted platform module(TPM) and hyper visor are secure and the privileged domain0 may be malicious. Firstly we realized load-time integrity measurement of the guest OS(operating system) kernel in the hyper visor directly and built the trust chain that is independent of the domain0. Secondly we realized the virtualized AIK(attestation identity key) and PCR(platform configuration register) that simulated the security functions of TPM AIK and PCR and supported VM migration, save and restore operations. Finally through the prototype implementation it is shown that the code complexity and the performance overhead are acceptable for the real system.","PeriodicalId":427190,"journal":{"name":"2011 IEEE Third International Conference on Cloud Computing Technology and Science","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114429311","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}

{"title":"A Deployment Platform for Dynamically Scaling Applications in the Cloud","authors":"Rui Han, Li Guo, Yike Guo, Sijin He","doi":"10.1109/CLOUDCOM.2011.75","DOIUrl":"https://doi.org/10.1109/CLOUDCOM.2011.75","url":null,"abstract":"Simplifying the process of deploying applications is almost essential in the cloud. However, existing techniques can automate applications' initial deployment but have not yet adequately addressed their scaling problem. In this paper, a deployment platform to enable a novel dynamic scaling technique is introduced. This platform employs: (i) an extensible specification that describes all aspects of applications, (ii) a flexible analytical model that determines how many servers to be deployed for an application in each scaling. The platform's ability to handle dynamic workloads and to scale applications quickly enough to maintain the response time target is demonstrated.","PeriodicalId":427190,"journal":{"name":"2011 IEEE Third International Conference on Cloud Computing Technology and Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132263147","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}

{"title":"Cost-Efficient Scheduling Heuristics for Deadline Constrained Workloads on Hybrid Clouds","authors":"R. Y. V. Bossche, K. Vanmechelen, J. Broeckhove","doi":"10.1109/CloudCom.2011.50","DOIUrl":"https://doi.org/10.1109/CloudCom.2011.50","url":null,"abstract":"Cloud computing offerings are maturing steadily, and their use has found acceptance in both industry and research. Cloud servers are used more and more instead of, or in addition to, local compute and storage infrastructure. Deciding which workloads to outsource to what cloud provider in such a setting, however, is far from trivial. This decision should maximize the utilization of the internal infrastructure and minimize the cost of running the outsourced tasks in the cloud, while taking into account the applications' quality of service constraints. Such decisions are generally hard to take by hand, because there are many cost factors, pricing models and cloud provider offerings to consider. In this work, we tackle this problem by proposing a set of heuristics to cost-efficiently schedule deadline-constrained computational applications on both public cloud providers and private infrastructure. Our heuristics take into account both computational and data transfer costs as well as estimated data transfer times. We evaluate to which extent the different cost factors and workload characteristics influence the cost savings realized by the heuristics and analyze the sensitivity of our results to the accuracy of task runtime estimates.","PeriodicalId":427190,"journal":{"name":"2011 IEEE Third International Conference on Cloud Computing Technology and Science","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128234087","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}

{"title":"Computational Neuroscience as a Service: Porting MIIND to the Cloud","authors":"Björn-Ole Gerckens, K. Djemame, M. Kamps","doi":"10.1109/CLOUDCOM.2011.14","DOIUrl":"https://doi.org/10.1109/CLOUDCOM.2011.14","url":null,"abstract":"In this paper, we investigate how cloud computing could benefit computational neuroscience. To that end, Multiple Interacting Instantiations of Neuronal Dynamics (MIIND), a computational neuroscience modelling toolkit, was ported to a private, university-owned cloud. The aim was to pave the way for making MIIND more accessible to non-specialist users in virtue of concealing its implementation context as well as rendering local IT infrastructure unnecessary. For that purpose, a customisable MIIND-based workflow model was encased within a virtualised wrapping apparatus. This served to fully automate running configurable MIIND simulations remotely via a convenient web-interface in a transparent manner with the user being incognisant of the cloud and the service orientated architecture behind it. This architecture can be adopted for any application conforming to the workflow characteristics of MIIND and helps inform the porting process of serial and legacy applications.","PeriodicalId":427190,"journal":{"name":"2011 IEEE Third International Conference on Cloud Computing Technology and Science","volume":"31 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116652333","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}

{"title":"Security APIs for My Private Cloud - Granting access to anyone, from anywhere at any time","authors":"D. Chadwick, Matteo Casenove","doi":"10.1109/CloudCom.2011.122","DOIUrl":"https://doi.org/10.1109/CloudCom.2011.122","url":null,"abstract":"We describe a set of security APIs that grant federated access to a user's cloud resources, and that also allow the user to grant access to his resources to anyone from anywhere at any time. The APIs implement federated access to clouds, fine grained access controls and delegation of authority. We have integrated these APIs into two cloud applications in order to validate their utility. This paper describes the conceptual model and architecture of the APIs, as well as their integration into the Eucalyptus S3 service. The paper concludes by specifying the current limitations.","PeriodicalId":427190,"journal":{"name":"2011 IEEE Third International Conference on Cloud Computing Technology and Science","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123588587","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}

{"title":"Provisioning and Evaluating Multi-domain Networked Clouds for Hadoop-based Applications","authors":"A. Mandal, Yufeng Xin, I. Baldine, P. Ruth, Chris Heermann, J. Chase, Victor Orlikowski, Aydan R. Yumerefendi","doi":"10.1109/CloudCom.2011.107","DOIUrl":"https://doi.org/10.1109/CloudCom.2011.107","url":null,"abstract":"This paper presents the design, implementation, and evaluation of a new system for on-demand provisioning of Hadoop clusters across multiple cloud domains. The Hadoop clusters are created \"on-demand\" and are composed of virtual machines from multiple cloud sites linked with bandwidth-provisioned network pipes. The prototype uses an existing federated cloud control framework called Open Resource Control Architecture (ORCA), which orchestrates the leasing and configuration of virtual infrastructure from multiple autonomous cloud sites and network providers. ORCA enables computational and network resources from multiple clouds and network substrates to be aggregated into a single virtual \"slice\" of resources, built to order for the needs of the application. The experiments examine various provisioning alternatives by evaluating the performance of representative Hadoop benchmarks and applications on resource topologies with varying bandwidths. The evaluations examine conditions in which multi-cloud Hadoop deployments pose significant advantages or disadvantages during Map/Reduce/Shuffle operations. Further, the experiments compare multi-cloud Hadoop deployments with single-cloud deployments and investigate Hadoop Distributed File System (HDFS) performance under varying network configurations. The results show that networked clouds make cross-cloud Hadoop deployment feasible with high bandwidth network links between clouds. As expected, performance for some benchmarks degrades rapidly with constrained inter-cloud bandwidth. MapReduce shuffle patterns and certain Hadoop Distributed File System (HDFS) operations that span the constrained links are particularly sensitive to network performance. Hadoop's topology-awareness feature can mitigate these penalties to a modest degree in these hybrid bandwidth scenarios. Additional observations show that contention among co-located virtual machines is a source of irregular performance for Hadoop applications on virtual cloud infrastructure.","PeriodicalId":427190,"journal":{"name":"2011 IEEE Third International Conference on Cloud Computing Technology and Science","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122340565","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}

{"title":"Towards Multi-Service Traffic Shaping in Two-Tier Enterprise Data Centers","authors":"Yesid Jarma, M. Amorim, Y. Viniotis","doi":"10.1109/CloudCom.2011.99","DOIUrl":"https://doi.org/10.1109/CloudCom.2011.99","url":null,"abstract":"In Enterprise Data Centers (EDC), service providers are usually governed by Client Service Contracts (CSC) that specify, among other requirements, the rate at which a service should be accessed. The contract limits the rate to no more than a number of service requests during a given observation period. In two-tier setups, a cluster of Service-Oriented Networking (SON) Appliances form a pre-processing tier that accesses services in the service tier. SON Appliances locally shape the flow of requests to enforce the global rate defined in the CSC. Off-the-shelf SON Appliances present architectural limitations that prevent them from being used to efficiently perform traffic shaping in the presence of multiple service hosts. In this paper, besides identifying these limitations, we provide two contributions in this field. First, we introduce a SON Appliance architecture fit for multi-service traffic shaping. Second, we propose and validate an algorithm for multipoint-to-multipoint service traffic shaping in two-tier EDCs. We show via simulation that our approach solves the multipoint-to-multipoint service traffic shaping problem while pushing the system to its maximum capacity.","PeriodicalId":427190,"journal":{"name":"2011 IEEE Third International Conference on Cloud Computing Technology and Science","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127149061","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}

{"title":"Efficient Migration of Virtual Machines between Public and Private Cloud","authors":"Chun Hui Suen, M. Kirchberg, Bu-Sung Lee","doi":"10.1109/CLOUDCOM.2011.83","DOIUrl":"https://doi.org/10.1109/CLOUDCOM.2011.83","url":null,"abstract":"Cloud computing service providers offer cost-effective means to burst computational needs and utilise live migration of virtual machines (VMs) for effective and efficient work-load movements with short service downtimes. However, there is a lack of support for migrating VMs between different service providers as well as private and public cloud offerings, main challenges arise from the bandwidth and storage costs of data during migration potentially mitigating any cost benefit. In this paper, we propose and evaluate techniques for efficient and effective transfer and storage of VM images, which have high duplication, for both instance and volume-based cloud storage. Our main focus is on both the public and private cloud infrastructure and the movement of VMs between them.","PeriodicalId":427190,"journal":{"name":"2011 IEEE Third International Conference on Cloud Computing Technology and Science","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129789340","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}

{"title":"How to Track Your Data: The Case for Cloud Computing Provenance","authors":"Olive Qing Zhang, M. Kirchberg, R. Ko, Bu-Sung Lee","doi":"10.1109/CLOUDCOM.2011.66","DOIUrl":"https://doi.org/10.1109/CLOUDCOM.2011.66","url":null,"abstract":"Provenance, a meta-data describing the derivation history of data, is crucial for the uptake of cloud computing to enhance reliability, credibility, accountability, transparency, and confidentiality of digital objects in a cloud. In this paper, we survey current mechanisms that support provenance for cloud computing, we classify provenance according to its granularities encapsulating the various sets of provenance data for different use cases, and we summarize the challenges and requirements for collecting provenance in a cloud, based on which we show the gap between current approaches to requirements. Additionally, we propose our approach, Data PROVE, that aims to effectively and efficiently satisfy those challenges and requirements in cloud provenance, and to provide a provenance supplemented cloud for better integrity and safety of customers' data.","PeriodicalId":427190,"journal":{"name":"2011 IEEE Third International Conference on Cloud Computing Technology and Science","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124485402","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}