A simulation of an economic, self-organising resource allocation approach for application layer networks

Streitberger, Werner; Eymann, Torsten

doi:10.1016/j.comnet.2008.10.020

Cited by 12 publications

(7 citation statements)

References 14 publications

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“…Therefore, a system of voluntary collaboration between resources is necessary, as suggested by the principle Catallaxy. The agents dynamically allocate resources by routing traffic demands in an optimal way, lowering cost and optimizing performance [28] [29]. Other solutions for agility and flexibility in cloud computing propose a virtualized optical network [30] or an implementation of a reliable multicast service to reduce bandwidth on links while ensuring required reliability and flexibility [31].…”

Section: ) Networkingmentioning

confidence: 99%

Cloud Computing: An Architectural and Technological Overview

Motta

Sfondrini

Sacco

2012

2012 International Joint Conference on Service Sciences

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We present a Systematic Literature Review (SLR) on Cloud Computing that selected 39 papers from first tier journals and conferences in the period 2008-2012. The selective approach captures the relevant points of view on Cloud Computing, namely the overall paradigm in terms of delivery and deployment. Afterwards, we point out the technological issues about networking and data management in Cloud Computing. This SLR extends previous reviews thanks to a longer time period and a wider research sample. Cloud Computing, Literature Review, Cloud Deployment Model, Cloud Delivery Model, IT management

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Section: ) Networkingmentioning

confidence: 99%

Cloud Computing: An Architectural and Technological Overview

Motta

Sfondrini

Sacco

2012

2012 International Joint Conference on Service Sciences

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“…For example, Pardoe et al propose mechanisms that are able to adaptively adjust their parameters based on the past behavior of participants [35]. Another example is the self-organizing resource allocation mechanism for dynamic application layer networks [43]. The largest step towards this vision, however, is proposed by Breskovic et al [10], [16], who use the autonomic MAPE loop in the context of electronic markets to automatically adapt the market platform to changed environmental conditions based upon a given concept of "performance".…”

Section: Cloud Markets In Researchmentioning

confidence: 99%

Maximizing Liquidity in Cloud Markets through Standardization of Computational Resources

Breskovic

Brandić

Altmann

2013

2013 IEEE Seventh International Symposium on Service-Oriented System Engineering

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Abstract-Low liquidity in cloud markets can result in market instability and inefficiency, preventing the successful implementation of ubiquitous computing on demand. To circumvent this issue, it has been suggested to channel demand and supply into a limited number of standardized services. These standardized services can even be automatically adapted to user requirements with the goal of continuously improving market performance. In this paper, we focus on answering how many standardized services should be placed in the market. This work is based on a new definition of liquidity for cloud resources, which in turn has been derived from liquidity definitions of financial markets. Using a simulation framework, we evaluate our method for estimating the optimal quantity of standardized services with respect to market liquidity and demonstrate the benefits of this approach in terms of increase in market efficiency and decrease in users' cost of participation in the market. The methods presented in this paper have the potential to be applied in other electronic markets as well.Keywords-Service level agreement, electronic markets, cloud economics, autonomic computing, standardized goods, market modeling, market liquidity, IT services I. INTRODUCTION Common to utility computing, cloud computing and grid computing is that they offer computational resources (e.g., software, hardware and computing platform services) in a manner similar to utilities, such as water, electricity and telephony, without regard to where the services are hosted or how they are delivered [4], [15]. However, the current cloud market is fragmented and static, hindering the paradigm's ability to fulfill its promise of ubiquitous computing on demand and as a commodity. In order to address this issue, electronic markets for trading and/or allocating computational resources (i.e., grid and cloud services) have been proposed [1], [38].In cloud markets, computational services are described by service parameters and quality of service (QoS) objectives. Each setting of a service, i.e., configuration of parameters, desired values of QoS objectives, and combinations of these elements, defines a new service (also called "computational resource"). Due to a great number of available settings, markets suffer from a vast diversity and heterogeneity of computational resources.In addition to this, computational resources are characterized by a high dynamism and a high fungibility. Resource dynamism is a result of a large resource variability, a dynamic user base, diverse user behavior in the market, and the

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“…For example, [18] propose mechanisms that are able to adaptively adjust their parameters based on the past behavior of participants. A self-organizing resource allocation mechanism in dynamic Application Layer Networks is proposed by [19]. They do not, however, consider issues such as the market adaptation depending on the available resources, which is a crucial element for potential autonomic marketplaces.…”

Section: Related Workmentioning

confidence: 99%

“…On the other hand, if it was deleted from T i , but the user does not need it, the existing deleting wish is removed (lines [14][15]. If a new parameter is introduced in T n (line 16), the algorithm deletes existing adding wish if it recognizes the equivalent from T u (lines 17-18), or it creates a deleting wish for the newly added parameter (lines [19][20]. Note that the recognition of the newly added parameter's equivalent in the user's private SLA template is possible only if the user's adding wish is exactly the same as the one applied to modify the initial public SLA template.…”

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confidence: 99%

Cost-Efficient Utilization of Public SLA Templates in Autonomic Cloud Markets

Breskovic

Maurer

Emeakaroha

et al. 2011

2011 Fourth IEEE International Conference on Utility and Cloud Computing

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Abstract-Dynamic and self-adaptable markets are fundamental for the successful implementation of the Cloud computing paradigm where computing resources are provided on demand and dynamically to the heterogeneous user base. Usually, in Cloud markets, contracts between traders are established using Service Level Agreements (SLAs), which include objectives of service usage. However, Cloud markets face challenges, which are usually not evident in other market types, such as non-standardized goods and large variety of resource types offered on the market, resulting in low number of matches of consumers' bids and providers' asks. Moreover, existing Cloud market mechanisms are usually static and cannot react on dynamic change of user requirements. To counteract these problems, we propose an adaptive approach for autonomically deriving public SLA templates (i.e., templates for generation of electronic contracts) based on user requirements. Although this approach brings many benefits, it also incurs cost to users, since they must adapt specifications of their requirements in order to match automatically generated public SLA templates. In this paper, we reduce this cost by autonomically modifying specifications of user requirements. We introduce a method for adapting public SLA templates not only in respect to definitions of SLA attributes, but also to attribute values. Based on an appropriate utility and cost model, we evaluate the approach and show that it significantly improves the performance of the adaptive SLA template technique.

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A simulation of an economic, self-organising resource allocation approach for application layer networks

Cited by 12 publications

References 14 publications

Cloud Computing: An Architectural and Technological Overview

Cloud Computing: An Architectural and Technological Overview

Maximizing Liquidity in Cloud Markets through Standardization of Computational Resources

Cost-Efficient Utilization of Public SLA Templates in Autonomic Cloud Markets

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