Solution-based deployment of complex application services on a Cloud

Chieu, T. C.; Mohindra, Ajay; Karve, Alexei; Segal, Alla

doi:10.1109/soli.2010.5551565

Cited by 20 publications

(14 citation statements)

References 6 publications

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“…The steps to configure and consume IaaS and deploy a distributed system on top of it require manual effort [12], are error-prone [6], and may need to be performed by technically educated personal [14]. Deployment mechanisms exist that automate parts of the required steps.…”

Section: A Problem Specificsmentioning

confidence: 99%

“…We additionally provide support for cloud selection and configuration. It has been proposed to model multiple components of applications and their dependencies as "Composite Appliances" in XML [6]. A cloud provisioning system uses the model to automatically configure and deploy the application.…”

Section: Related Workmentioning

confidence: 99%

“…Consumers furthermore have to configure the IaaS, resulting in complex decision problems [12]. Finally, the selection, configuration, and consumption of IaaS as well as the deployment of a distributed system on top of it require manual effort [6], [14], making it hard to perform these steps repeatedly or unexpectedly, for example to deploy a distributed system in reaction to a disaster [18]. In this work, we address these problems to enable an automatic selection, configuration, and consumption of IaaS and the deployment of distributed systems on top of it under consideration of consumer requirements and preferences.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Feature-Based Configuration of Vendor-Independent Deployments on IaaS

Wittern

Lenk

Bartenbach

et al. 2014

2014 IEEE 18th International Enterprise Distributed Object Computing Conference

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Infrastructure as a Service (IaaS) is commonly used to deploy distributed systems like Web applications. For every component of a distributed system, IaaS consumers need to select, configure, and deploy a virtual machine (VM), the image to run on the VM, and software to install on the image. These tasks involve multiple decisions, require complex and error-prone manual effort, and may occur unexpectedly.To deal with these challenges, we present a feature-based configuration and vendorindependent deployment approach. An IaaS deployment model allows to describe and automatically perform the distributed system deployment vendor-independently. We use service feature modeling to support the decisions required for configuration. These modeling approaches are combined in a feature-based configuration and deployment process. It can be performed automatically and can be triggered in reaction to unexpected events. We present a proof-of-concept implementation that we use to perform a use case about deploying the Web application of the Barcoo service, showing the approach's applicability.

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Section: A Problem Specificsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Feature-Based Configuration of Vendor-Independent Deployments on IaaS

Wittern

Lenk

Bartenbach

et al. 2014

2014 IEEE 18th International Enterprise Distributed Object Computing Conference

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show abstract

“…In particular, existing open standards and protocols for cloud communications are required to facilitate the composition of services and inter-cloud communications [4].…”

Section: When Human Crowds Meet Machine Cloudsmentioning

confidence: 99%

Crowdsourcing and its Impact on Future Internet Usage

Tran-Gia¹,

Hoßfeld²,

Hartmann³

et al. 2013

Itit

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Crowdsourcing is an emerging service platform and business model in the Internet. In contrast to outsourcing where a job is performed by a designated contractor, with Crowdsourcing, jobs are outsourced to a large, anonymous crowd of workers, the so-called human cloud. The rise of Crowdsourcing and its seamless integration in current workflows may have a huge impact on the Internet and on society, and will be a guiding paradigm that can form the evolution of work in the years to come. In this article, we discuss applications and use cases of Crowdsourcing to demonstrate the impact on Internet usage. Novel measurement approaches are presented and the impact of Crowdsourcing on Internet traffic is evaluated by measuring the activity of a particular Crowdsourcing platform. New technical solutions are necessary for the operation of efficient, distributed Crowdsourcing platforms. Special attention is drawn to the integration of machine clouds and human crowds, and appropriate inter-cloud solutions. Finally, we discuss current research challenges from a scientific and from the platform provider´s point of view.

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“…However, as they also mentioned, their work lacks an approach for appliance selection and their placement on the Cloud which is offered by our work. Similarly Chieu et al [24] proposed the use of composite appliances to automate the deployment of integrated solutions. However in their work as well, QoS objectives are not considered when building the composition.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Based Implementation of Multi - Keyword Ranked Search over Encrypted Cloud Data in Secure Cloud Environment

N¹

2017

int.jour.sci.res.mana

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Cloud computing enables the paradigm of data outsourcing. However, to protect data privacy, sensitive cloud data have to be encrypted before outsourced to the commercial public cloud, which makes effective data utilization service is a challenging task. Even though searchable encryption techniques allow users to securely search over encrypted data through keywords, they support only Boolean search and are not yet sufficient to meet the effective data utilization need that is inherently demanded by large number of users and huge amount of data files in cloud. Hence it is necessary to allow multiple keywords in the search request and return documents in the order of their relevance to the keywords. The works on searchable encryption focused on single keyword search or Boolean keyword search and the result produced by them are rarely sorted. An effective method proposed for this challenging problem is privacy-preserving search over encrypted cloud data. This method establishes a set of strict privacy requirements for such a secure cloud data utilization system through MRSE. Among various multi-keyword semantics, this method chooses the efficient similarity measure of -coordinate matching‖. Then according to Top K Query method the sorted results are produced. The privacy is preserved by the chunk of data stored in a various server's. Then further improvisation is taken to introduce low overhead on computation and communication in future.

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Solution-based deployment of complex application services on a Cloud

Cited by 20 publications

References 6 publications

Feature-Based Configuration of Vendor-Independent Deployments on IaaS

Feature-Based Configuration of Vendor-Independent Deployments on IaaS

Crowdsourcing and its Impact on Future Internet Usage

Fuzzy Based Implementation of Multi - Keyword Ranked Search over Encrypted Cloud Data in Secure Cloud Environment

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