456 research outputs found
SLA-Oriented Resource Provisioning for Cloud Computing: Challenges, Architecture, and Solutions
Cloud computing systems promise to offer subscription-oriented,
enterprise-quality computing services to users worldwide. With the increased
demand for delivering services to a large number of users, they need to offer
differentiated services to users and meet their quality expectations. Existing
resource management systems in data centers are yet to support Service Level
Agreement (SLA)-oriented resource allocation, and thus need to be enhanced to
realize cloud computing and utility computing. In addition, no work has been
done to collectively incorporate customer-driven service management,
computational risk management, and autonomic resource management into a
market-based resource management system to target the rapidly changing
enterprise requirements of Cloud computing. This paper presents vision,
challenges, and architectural elements of SLA-oriented resource management. The
proposed architecture supports integration of marketbased provisioning policies
and virtualisation technologies for flexible allocation of resources to
applications. The performance results obtained from our working prototype
system shows the feasibility and effectiveness of SLA-based resource
provisioning in Clouds.Comment: 10 pages, 7 figures, Conference Keynote Paper: 2011 IEEE
International Conference on Cloud and Service Computing (CSC 2011, IEEE
Press, USA), Hong Kong, China, December 12-14, 201
Redundant VoD Streaming Service in a Private Cloud: Availability Modeling and Sensitivity Analysis
For several years cloud computing has been generating
considerable debate and interest within IT corporations.
Since cloud computing environments provide storage and processing
systems that are adaptable, efficient, and straightforward,
thereby enabling rapid infrastructure modifications to be made
according to constantly varying workloads, organizations of
every size and type are migrating to web-based cloud supported
solutions. Due to the advantages of the pay-per-use model and
scalability factors, current video on demand (VoD) streaming
services rely heavily on cloud infrastructures to offer a
large variety of multimedia content. Recent well documented
failure events in commercial VoD services have demonstrated
the fundamental importance of maintaining high availability in
cloud computing infrastructures, and hierarchical modeling has
proved to be a useful tool for evaluating the availability of
complex systems and services. This paper presents an availability
model for a video streaming service deployed in a private
cloud environment which includes redundancy mechanisms in
the infrastructure. Differential sensitivity analysis was applied
to identify and rank the critical components of the system
with respect to service availability. The results demonstrate that
such a modeling strategy combined with differential sensitivity
analysis can be an attractive methodology for identifying which
components should be supported with redundancy in order to
consciously increase system dependability
A Process Framework for Managing Quality of Service in Private Cloud
As information systems leaders tap into the global market of cloud computing-based services, they struggle to maintain consistent application performance due to lack of a process framework for managing quality of service (QoS) in the cloud. Guided by the disruptive innovation theory, the purpose of this case study was to identify a process framework for meeting the QoS requirements of private cloud service users. Private cloud implementation was explored by selecting an organization in California through purposeful sampling. Information was gathered by interviewing 23 information technology (IT) professionals, a mix of frontline engineers, managers, and leaders involved in the implementation of private cloud. Another source of data was documents such as standard operating procedures, policies, and guidelines related to private cloud implementation. Interview transcripts and documents were coded and sequentially analyzed. Three prominent themes emerged from the analysis of data: (a) end user expectations, (b) application architecture, and (c) trending analysis. The findings of this study may help IT leaders in effectively managing QoS in cloud infrastructure and deliver reliable application performance that may help in increasing customer population and profitability of organizations. This study may contribute to positive social change as information systems managers and workers can learn and apply the process framework for delivering stable and reliable cloud-hosted computer applications
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Novel processes for smart grid information exchange and knowledge representation using the IEC common information model
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.The IEC Common Information Model (CIM) is of central importance in enabling smart grid interoperability. Its continual development aims to meet the needs of the smart grid for semantic understanding and knowledge
representation for a widening domain of resources and processes. With smart grid evolution the importance of information and data management has become an increasingly pressing issue not only because far more data is being generated using modern sensing, control and measuring devices but
also because information is now becoming recognised as the ‘integral component’ that facilitates the optimal flexibility required of the smart grid. This thesis looks at the impacts of CIM implementation upon the landscape of smart grid issues and presents research from within National Grid
contributing to three key areas in support of further CIM deployment. Taking the issue of Enterprise Information Management first, an information management framework is presented for CIM deployment at National Grid. Following this the development and demonstration of a novel secure cloud
computing platform to handle such information is described. Power system application (PSA) models of the grid are partial knowledge representations of a shared reality. To develop the completeness of our understanding of this reality it is necessary to combine these representations.
The second research contribution reports on a novel methodology for a CIM-based
model repository to align PSA representations and provide a
knowledge resource for building utility business intelligence of the grid.
The third contribution addresses the need for greater integration of information relating to energy storage, an essential aspect of smart energy management. It presents the strategic rationale for integrated energy modeling and a novel extension to the existing CIM standards for modeling grid-scale energy storage. Significantly, this work has already contributed to a larger body of work on modeling Distributed Energy Resources currently under development at the Electric Power Research Institute (EPRI) in the
USA.Dr. Martin Bradley on behalf of National Grid Plc. and the Engineering and Physical
Sciences Research Council (EPSRC
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