Reliability and risk in grid resource brokering

Gourlay, Iain; Djemame, Karim; Padgett, James

doi:10.1109/dest.2008.4635211

Cited by 14 publications

(5 citation statements)

References 9 publications

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“…ERT method is mostly used resource selection method by Grid's Resource Broker [7]. However, many researchers state that the Resource Broker working on ERT method poorly divides tasks in the network [8], [9]. The reason is that ERT method evaluates only two parameters of the resource: central processor speed C and job queue length L. Other methods, such as GSQN [10], Q-QoSM [11], [12] and QoS-based [13], evaluate three parameters of the resource.…”

Section: The Qogs Methods Application For Selection Ofmentioning

confidence: 99%

The QoGS Method Application for Selection of Computing Resources in Intercloud

Vilutis

Butkienė

Lagzdinyte-Budnike

et al. 2013

ElAEE

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In this paper the selection of the right Cloud in Intercloud of computing services for fulfilment of the user task is analyzed. The main problem approached is how to select the right Cloud in Intercloud for the user task when there are no available or relevant resources in the private and public Cloud. In this case the Cloud, which gives the calculation results to the user in the shortest time including waiting time in queue, should be selected. For selection of the right Cloud the QoGS method has been chosen. The principle schema of QoGS method application in Intercloud has been presented. However, QoGS method works properly if the right set of weighted coefficients (SoWC) is selected. Existing methods are not suitable for selection of weighted coefficients because they require sending a lot of test tasks to Intercloud. Therefore, a new algorithm for selection of the best SoWC is presented. Results of the experiment show that it allows minimizing the workload of Intercloud by test tasks significantly.

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Section: The Qogs Methods Application For Selection Ofmentioning

confidence: 99%

The QoGS Method Application for Selection of Computing Resources in Intercloud

Vilutis

Butkienė

Lagzdinyte-Budnike

et al. 2013

ElAEE

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“…It does this by making a statistical comparison of the offered PoFs and observed SLA failures in the sample (details are beyond the scope of this paper; however more details can be found in [10]). …”

Section: A Confidence Servicementioning

confidence: 99%

Risk-Aware SLA Brokering Using WS-Agreement

Padgett

Djemame

Gourlay

et al. 2009

2009 International Conference on Advanced Information Networking and Applications Workshops

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Service Level Agreements (SLAs) are facilitators for widening the commercial uptake of Grid technology. They provide explicit statements of expectation and obligation between service consumers and providers. However, without the ability to assess the probability that an SLA might fail, commercial uptake will be restricted, since neither party will be willing to agree. Therefore, risk assessment mechanisms are critical to increase confidence in Grid technology usage within the commercial sector. This paper presents an SLA brokering mechanism including risk assessment techniques which evaluate the probability of SLA failure. WS-Agreement and risk metrics are used to facilitate SLA creation between service consumers and providers within a typical Grid resource usage scenario.

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“…A negative outcome signifies the interacting user's failure to achieve desired outcomes and the experience of losses. In order to minimize or alleviate the occurrence of such negative outcomes in e-business collaborative interactions, researchers have proposed the analysis of concepts such as trust [3,4], security [5][6][7] and risk [8][9][10]. In this paper the focus of discussion is limited to the concept of risk.…”

Section: Introductionmentioning

confidence: 99%

A Fuzzy Approach for Transactional Risk Management in E-Business Collaborations

Hussain

2010

2010 IEEE 7th International Conference on E-Business Engineering

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Risk Management is an important process to be carried out for any form of interaction before decision-making. This process will help the concerned user to take steps and actions accordingly in order to address risks and achieve the activity's desired goals. Various techniques and approaches for risk management have been discussed in the literature. But the process of risk management is not generic and it varies and changes according to the domain or purpose of the interaction for which it is being considered. E-business interactions are collaborative interactions that are mostly carried out over a virtual environment. But by considering the growth of ebusiness interactions, a process of risk management is needed by which the interacting user can actually minimize and lessen the level of risk before decision-making. In this paper, a quantitative approach for risk management in e-business interactions is proposed which the interacting user can utilize to lessen the level of risk and then make an interaction-based decision.

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Reliability and risk in grid resource brokering

Cited by 14 publications

References 9 publications

The QoGS Method Application for Selection of Computing Resources in Intercloud

The QoGS Method Application for Selection of Computing Resources in Intercloud

Risk-Aware SLA Brokering Using WS-Agreement

A Fuzzy Approach for Transactional Risk Management in E-Business Collaborations

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