Inter-carrier interconnection services: QoS, economics and business issues

Courcoubetis, Costas; Dramitinos, Manos; Stamoulis, George D.; Blocq, Gideon; Miron, Avi; Orda, Ariel

doi:10.1109/iscc.2011.5983935

Cited by 6 publications

(4 citation statements)

References 10 publications

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“…To ensure that a significant number of ASes are willing to participate, a revenue is associated to the fulfillment of the request. The issues on revenue sharing between the ASes are addressed in [1] and [7].…”

Section: Mechanism To Compute the Inter-domain Qos-guaranteed Pathmentioning

confidence: 99%

Reputation for Inter-Domain QoS Routing

Anceaume

Busnel

Lajoie-Mazenc

et al. 2015

2015 IEEE 14th International Symposium on Network Computing and Applications

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International audience—Video traffic, which represents an increasing fraction of the Internet traffic, requires end-to-end quality of service (QoS) guarantees for inter-domain routing. However, providing such guarantees remains a challenge essentially because it requires a strong and fair cooperation among the different network operators or Autonomous Systems (ASes), crossed by the traffic. Having a single AS on the path that does not meet its QoS engagement is sufficient to violate the end-to-end QoS guarantees. Unfortunately, the client is not capable of distinguishing unfair ASes from honest ones at the time it selects its path. Reputation mechanisms turn out to be very efficient tools to estimate how trustworthy and reliable entities can be without requiring the help of any central authority. They are effective to foster cooperation by remedying selfishness. In this position paper, we identify the main properties a reputation mechanism should meet to improve inter-domain QoS routing, and we provide a coarsed-grain vision of the design of such a mechanism

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Section: Mechanism To Compute the Inter-domain Qos-guaranteed Pathmentioning

confidence: 99%

Reputation for Inter-Domain QoS Routing

Anceaume

Busnel

Lajoie-Mazenc

et al. 2015

2015 IEEE 14th International Symposium on Network Computing and Applications

View full text Add to dashboard Cite

show abstract

“…These issues are mitigated in enterprise‐wide solutions such as Skype for Business, Cisco Unified Communications, and Barco collaborative learning solutions . However, these solutions control congestion problems by delimiting the architecture to private/on‐premises infrastructure, where they often rely on nonelastic in‐house installed appliances and quality of service (QoS) rules enforced by dedicated network infrastructure, usually dependent on manual maintenance efforts …”

Section: Introductionmentioning

confidence: 99%

“…in-house installed appliances and quality of service (QoS) rules enforced by dedicated network infrastructure, usually dependent on manual maintenance efforts. 7,8 The EMD Project 9 designed a solution that combines reliability and elasticity, in a secure way, in one distributed audio and video (A/V) professional collaboration platform that focused on remote learning. Policy-based security is one of the goals, and a risk-based partitioning of the infrastructure in distinct security zones enables the enforcement of specific protection policies.…”

Section: Introductionmentioning

confidence: 99%

Efficient allocation of elastic interfederation encrypted streaming sessions

et al. 2019

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Summary Audio and video (A/V) collaboration platforms often use Internet cloud technologies to ensure elasticity. They generally operate on a best‐effort basis, without quality or delivery guarantees. However, such guarantees are a premise of business‐focused platforms, which often rely on static/dedicated infrastructure and hardware‐based components. This article presents results obtained in the final stage of the Elastic Media Distribution (EMD) project, which targets the migration of a business‐focused hardware‐based A/V collaboration tool towards a more elastic, reliable, and secure cloud‐based model. The use case under investigation is an educational scenario: teachers and students located at distributed sites collaborate under different data encryption policies. An existing model of collaboration streaming is extended to accommodate encryption‐enabled streaming components, and new resource allocation heuristics are proposed to deploy these components under stringent service level agreement (SLA) constraints. An extended version of our evaluation framework, based on the CloudSim simulator, manages encryption‐enabled components. A resource usage dataset was obtained by prototyping selected streaming components and evaluating their performance on the Virtual Wall large‐scale test bed. This dataset is fed into the extended simulation framework. Simulation results show longer than expected delays when loading streaming components, an issue that jeopardises the user experience that can be alleviated by the algorithms proposed in this article. Results show that the proposed algorithms enable policy‐based secured communications under bandwidth and virtual machine (VM) cost increases of 48% and 23%, respectively, if compared with a nonencrypted previous solution, and with set‐up times remaining under the required 2‐second deadline.

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“…However, the use of the Internet also introduces a new component into the delivery chain. Being a public network, the Internet lies (partially) out of the control sphere of both the user and the provider, and follows a "best effort" philosophy, i. e., it does not make any end-to-end Quality of Service (QoS) assurances (Courcoubetis et al, 2011). Hence, limitations of the network infrastructure, such as high latency, small bandwidth, or high packet loss, may potentially affect the QoS of the overall cloud gaming system for the user.…”

Section: Introductionmentioning

confidence: 99%

To Frag or to Be Fragged - An Empirical Assessment of Latency in Cloud Gaming

Lampe

Hans

et al. 2013

Proceedings of the 3rd International Conference on Cloud Computing and Services Science

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With the emergence of cloud computing, diverse types of Information Technology services are increasingly provisioned through large data centers via the Internet. A relatively novel service category is cloud gaming, where video games are executed in the cloud and delivered to a client as audio/video stream. While cloud gaming substantially reduces the demand of computational power on the client side, thus enabling the use of thin clients, it may also affect the Quality of Service through the introduction of network latencies. In this work, we quantitatively examine this effect, using a self-developed measurement tool and a set of actual cloud gaming providers. For the two providers and three games in our experiment, we find absolute increases in latency between approximately 40 ms and 150 ms, or between 85% and 800% in relative terms.

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Inter-carrier interconnection services: QoS, economics and business issues

Cited by 6 publications

References 10 publications

Reputation for Inter-Domain QoS Routing

Reputation for Inter-Domain QoS Routing

Efficient allocation of elastic interfederation encrypted streaming sessions

To Frag or to Be Fragged - An Empirical Assessment of Latency in Cloud Gaming

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