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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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Journal ArticleDOI
TL;DR: SmartSLA, a cost-sensitive virtualized resource management system for CPU-bound database services which is composed of two modules is proposed, able to minimize the total cost under time-varying workloads compared to the other cost-insensitive approaches.
Abstract: Virtualization-based multi-tenant database consolidation is an important technique for database-as-a-service (DBaaS) providers to minimize their total cost which is composed of SLA penalty cost, infrastructure cost and action cost. Due to the bursty and diverse tenant workloads, over-provisioning for the peak or under-provisioning for the off-peak often results in either infrastructure cost or service level agreement (SLA) penalty cost. Moreover, although the process of scaling out database systems will help DBaaS providers satisfy tenants’ service level agreement, its indiscriminate use has performance implications or incurs action cost. In this paper, we propose SmartSLA, a cost-sensitive virtualized resource management system for CPU-bound database services which is composed of two modules. The system modeling module uses machine learning techniques to learn a model for predicting the SLA penalty cost for each tenant under different resource allocations. Based on the learned model, the resource allocating module dynamically adjusts the resource allocation by weighing the potential reduction of SLA penalty cost against increase of infrastructure cost and action cost. SmartSLA is evaluated by using the TPC-W and modified YCSB benchmarks with dynamic workload trace and multiple database tenants. The experimental results show that SmartSLA is able to minimize the total cost under time-varying workloads compared to the other cost-insensitive approaches.

38 citations

Journal ArticleDOI
TL;DR: A prediction-based dynamic resource scheduling algorithms to dynamically consolidate the VMs with adaptive resource allocation to reduce the number of physical machines and is able to realize automatic elastic resource allocation with acceptable effect on SLAs.
Abstract: Virtualization and cloud computing technologies now make it possible to consolidate multiple online services, which are packed in virtual machines (VMs), into a smaller number of physical servers. However, it is still a challenging scheduling problem for cloud provider to dynamically manage the resource for VMs in order to handle variable workloads without service level agreement (SLA) violation. In this paper, we introduce a Prediction-based Dynamic Resource Scheduling (PDRS) solution to automate elastic resource scaling for virtualized cloud systems. Unlike traditional static consolidation or threshold-driven reactive scheduling, we both consider the dynamic workload fluctuations of each VM and the resource conflict handling problem. PDRS first employs an online resource prediction, which is a VM resource demand state predictor based on the Autoregressive Integrated Moving Average (ARIMA) model, to achieve adaptive resource allocation for cloud applications on each VM. Then we propose our prediction-based dynamic resource scheduling algorithms to dynamically consolidate the VMs with adaptive resource allocation to reduce the number of physical machines. Extensive experimental results show that our scheduling is able to realize automatic elastic resource allocation with acceptable effect on SLAs.

38 citations

01 Jan 2001
TL;DR: This paper reviews systems where replicated Web services are provided by locally and geographically distributed Web architectures, and considers different categories of Web applications, and evaluates how static dynamic and secure requests affect performance and quality of service of distributed Web sites.
Abstract: The second generation of Web sites provides more complex services than those related to Web publishing Many users already rely on the Web for up-to-date personal and business information and transactions This success motivates the need to design and implement Web architectures being able to guarantee the service level agreement that will rule the relationship between users and Web service providers As many components of the Web infrastructure are beyond the control of Web system administrators, they should augment satisfaction percentage of the assessed service levels by relying on two mechanisms that can be integrated: differentiated classes of services/users, Web systems with multi-node architectures The focus of this paper is on this latter approach It reviews systems where replicated Web services are provided by locally and geographically distributed Web architectures It considers different categories of Web applications, and evaluates how static dynamic and secure requests affect performance and quality of service of distributed Web sites

38 citations

Proceedings Article
18 Apr 2012
TL;DR: This paper proposes CSLA, a new SLA language directly integrating some features dealing with QoS uncertainty and Cloud fluctuation, and presents a novel profit model for service provider and new algorithms to meet SLA requirements while tackling scalability and dynamic issues.
Abstract: Cloud computing is a paradigm for enabling remote, on-demand access to a set of configurable computing resources as a service. The pay-per-use model enables service providers to offer their services to customers in different Quality-of-Service (QoS) levels. Service Level Agreement (SLA) is a negotiated agreement between a service provider and a customer where QoS parameters specify the quality level of service that the service provider have to guarantee. However, due to the dynamic nature of the Cloud and its instability, some SLA violations can occurred and the service providers can be charged for penalties. In this paper, we aim at addressing the Cloud instability to better control SLA management (in particular SLA violations) and indirectly the Cloud elasticity. We propose CSLA, a new SLA language directly integrating some features dealing with QoS uncertainty and Cloud fluctuation. In our evaluation, we present a novel profit model for service provider and new algorithms (for admission control and scheduling) to meet SLA requirements (e.g. prevent SLA violations) while tackling scalability and dynamic issues.

38 citations

Patent
Gregory Lauer1
22 Jan 2002
TL;DR: In this article, a system and method for generating a service level agreement (SLA) template are disclosed, which enables deployment of resources to support a number of SLAs and associated VPNs.
Abstract: In accordance with the present invention, a system and method for generating a service level agreement (SLA) template are disclosed. The SLA template generated by the disclosed system enables deployment of resources to support a number of SLAs and associated VPNs. The SLA template generated by operation of the disclosed system may include a first graphical user interface (GUI) template that specifies, at least in part, a GUI for use by a customer service representative (CSR) when accepting a service request or order from a customer. The disclosed SLA template may further include a number of SLA defaults, which may consist of default values and or software program code logic. The SLA defaults enable an SLA GUI to be configured such that a relatively small amount of information can be collected and used to derive other necessary configuration data. A second GUI template may be included in the SLA template to specify information to be obtained regarding networking devices and associated resources that must be used to provide a VPN over which are provided the services described in a particular SLA. Such information may, for example, describe a VPN ID, the connectivity between specific networking devices in a core network, and other parameters that reflect the resources that may be allocated to various customers. The SLA template may further include a number of VPN constraints on the network over which the services described in the SLA are provided.

38 citations


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