An SLA Focused Financial Services Infrastructure

Sun, Yih Leong; Perrott, Ronald H.; Harmer, Terence J.; Cunningham, Christina; Wright, Peter

doi:10.5176/978-981-08-5837-7_189

Cited by 5 publications

(4 citation statements)

References 2 publications

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“…Lenk et al (2010) created a general framework that targets transition of existing systems to cloud platforms. Sun et al (2010) discussed a SLA-based model to facilitate financial services infrastructure. Brebner and Liu (2010) compared various vendor offerings such as Google App Engine, Amazon EC2, and Microsoft Azure to provide guidance on cost, application performance (and limitations) for different deployment scenarios.…”

Section: Related Workmentioning

confidence: 99%

C2TP: a service model for cloud

Peiris

Sharma

Balachandran

2011

IJCC

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The notion of cloud computing capability is gathering momentum rapidly. However, the governance and enterprise architecture to obtain repeatable, scalable and secure business outcomes from cloud computing is still greatly undefined. There is very little research explored to define a framework that not only considers financial motivations, but also business initiatives, IT governance structures, IT operational control structures and technical architecture requirements to evaluate the benefits regarding cloud investment. We are proposing a novel model to address this. This model can be leveraged by an organisation to evaluate the 'tipping point' where the organisation can make an informative decision to embrace cloud computing at the expense of on-premise hosting options. The authors refer to this model as cloud computing tipping point (C2TP) model. The model is a service centric framework created by mapping cloud computing attributes with industry best practices such as ValIT, COBIT and ITIL.

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Section: Related Workmentioning

confidence: 99%

C2TP: a service model for cloud

Peiris

Sharma

Balachandran

2011

IJCC

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“…The financial services domain provides a challenging environment for infrastructure deployment. Other than general requirements, such as hardware (CPU, memory), software (C++ compiler) and storage (disk space), the financial services domain requires the use of other stringent requirements, such as data quality and integrity, security (encryption and authorisation), performance (response time, network latency) and compliance (legislation regulations) [20]. In order to satisfy the constraints of high availability and high site resilience, multiple mirrorinfrastructures can be provisioned in different geographical locations (location constraints); however, the performance constraints may require low network latency between different sites.…”

Section: A Financial Services Applicationmentioning

confidence: 99%

A constraints-based resource discovery model for multi-provider cloud environments

et al. 2012

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Increasingly infrastructure providers are supplying the cloud marketplace with storage and on-demand compute resources to host cloud applications. From an application user's point of view, it is desirable to identify the most appropriate set of available resources on which to execute an application. Resource choice can be complex and may involve comparing available hardware specifications, operating systems, value-added services (such as network configuration or data replication) and operating costs (such as hosting cost and data throughput). Providers' cost models often change and new commodity cost models (such as spot pricing) can offer significant savings. In this paper, a software abstraction layer is used to discover the most appropriate infrastructure resources for a given application, by applying a two-phase constraints-based approach to a multi-provider cloud environment. In the first phase, a set of possible infrastructure resources is identified for the application. In the second phase, a suitable heuristic is used to select the most appropriate resources from the initial set. For some applications a cost-based heuristic may be most appropriate; for others a performance-based heuristic may be of greater relevance. A financial services application and a high performance computing application are used to illustrate the execution of the proposed resource discovery mechanism. The experimental results show that the proposed model can dynamically select appropriate resouces for an application's requirements.

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“…In [30], an SLA (Service Level Agreement) focused financial services infrastrucutre framework is described. Two financial business scenarios are described.…”

Section: Financial Use Case Scenariosmentioning

confidence: 99%

Mapping Application Requirements to Cloud Resources

Sun

Harmer

Stewart

et al. 2012

Euro-Par 2011: Parallel Processing Workshops

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Cloud Computing has created a paradigm shift in software development. Many developers now use the Cloud as an affordable platform on which to deploy business solutions. One outstanding challenge is the integration of different Cloud services (or resources), offered by different Cloud providers, when building a Cloud-oriented business solution.Typically each provider has a different means of describing Cloud resources and uses a different application programming interface to acquire Cloud resources. Developers need to make complex decisions involving multiple Cloud products, different Cloud implementations, different deployment options, and different programming approaches. In this paper, we propose a model for discovering Cloud resources in a multi-provider environment. We study a financial use case scenario and suggest the use of a provider-agnostic approach which hides the complex implementation details for mapping the application requirements to Cloud resources.

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An SLA Focused Financial Services Infrastructure

Cited by 5 publications

References 2 publications

C2TP: a service model for cloud

C2TP: a service model for cloud

A constraints-based resource discovery model for multi-provider cloud environments

Mapping Application Requirements to Cloud Resources

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