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Service-level agreement

About: Service-level agreement is a research topic. Over the lifetime, 4358 publications have been published within this topic receiving 75333 citations. The topic is also known as: SLA.


Papers
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Proceedings ArticleDOI
23 May 2011
TL;DR: This work proposes two distributed learning algorithms that will allow network operators to negotiate end-to-end SLAs and optimize revenues for several demands while treating requests in real-time: one algorithm minimizes the cooperation between providers while the other demands to exchange more information.
Abstract: 1 Applications requiring network Quality of Service (QoS) (e.g. telepresence, cloud computing, etc.) are becoming mainstream. To support their deployment, network operators must automatically negotiate end-to-end QoS contracts (aka. Service Level Agreements, SLAs) and configure their networks accordingly. Other crucial needs must be considered: QoS should provide incentives to network operators, and confidentiality on topologies, resource states and committed SLAs must be respected. To meet these requirements, we propose two distributed learning algorithms that will allow network operators to negotiate end-to-end SLAs and optimize revenues for several demands while treating requests in real-time: one algorithm minimizes the cooperation between providers while the other demands to exchange more information. Experiment results exhibit that the second algorithm satisfies better customers and providers while having worse runtime performances.

18 citations

Proceedings ArticleDOI
22 Aug 2016
TL;DR: This work proposes SLA-NFV, a Service Level Agreement (SLA) aware framework, for building high-performance NFV, focusing on fulfilling SLAs of service subscribers (or tenants).
Abstract: We propose SLA-NFV, a Service Level Agreement (SLA) aware framework, for building high-performance NFV, focusing on fulfilling SLAs of service subscribers (or tenants). SLA-NFV leverages a hybrid infrastructure with both software and programmable hardware to enhance NFV’s capability with respect to various SLAs. Evaluations show that a hybrid service chain could reduce latency by up to 60% compared with a pure soft- ware service chain.

18 citations

Proceedings ArticleDOI
17 Apr 2018
TL;DR: This research proposes an approach to improve cloud trust that leverages blockchain technology to help reduce the problem of depending on TTPs for policy evaluation and storage and help track the authors' data by storing policies in an authoritative source outside the cloud.
Abstract: An outdated Service Level Agreement (SLA) model, untrusted third parties with access to our data, unknown data location, and unwanted data movement continue to negatively affect trust in the cloud. The majority of current research into cloud trust focuses on ensuring a trustworthy hardware platform using attestations verified by some trusted third party(TTP). We are proposing an approach to improve cloud trust that leverages blockchain technology to help reduce the problem of depending on TTPs for policy evaluation and storage and help track our data. It provides consumers more control and expression of how they want their data handled and by whom. We propose to use Ethereum blockchain for storage and smart contracts as the vehicle for the policies. The main contributions presented in this research are: 1) storing policies in an authoritative source outside the cloud, 2) improving cloud trust by using decentralization, 3) providing a data movement policy model.

18 citations

Journal ArticleDOI
TL;DR: The proposed prediction model is based on the past usage pattern and aims to provide optimal resource management without the violations of the agreed service‐level conditions in cloud data centers.
Abstract: Cloud computing is an innovative computing paradigm designed to provide a flexible and low‐cost way to deliver information technology services on demand over the Internet. Proper scheduling and load balancing of the resources are required for the efficient operations in the distributed cloud environment. Since cloud computing is growing rapidly and customers are demanding better performance and more services, scheduling and load balancing of the cloud resources have become very interesting and important area of research. As more and more consumers assign their tasks to cloud, service‐level agreements (SLAs) between consumers and providers are emerging as an important aspect. The proposed prediction model is based on the past usage pattern and aims to provide optimal resource management without the violations of the agreed service‐level conditions in cloud data centers. It considers SLA in both the initial scheduling stage and in the load balancing stage, and it looks into different objectives to achieve the minimum makespan, the minimum degree of imbalance, and the minimum number of SLA violations. The experimental results show the effectiveness of the proposed system compared with other state‐of‐the‐art algorithms.

18 citations

Patent
29 Sep 2011
TL;DR: In this paper, the authors present a method for supporting remote hosting without using network address translation using multipoint generic routing encapsulation protocol (PGRAP) and service level agreement tracking (SLA).
Abstract: Methods, apparatuses, and computer program products are provided for supporting remote hosting without using network address translation. A method may include supporting, at a hub, a plurality of redundant tunnel end points for each of a plurality of spokes using a technology based at least in part on multipoint generic routing encapsulation protocol. The method may further include using policy based routing to determine a destination spoke for outgoing data traffic. The method may additionally include using service level agreement tracking to select a tunnel end point from the plurality of redundant tunnel end points for the determined destination spoke. The method may also include causing the outgoing data traffic to be routed to the determined destination spoke via the selected tunnel end point. Corresponding systems, apparatuses and computer program products are also provided.

18 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202339
2022106
2021183
2020233
2019237
2018255