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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.


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Journal ArticleDOI
TL;DR: This paper proposes a hybrid metaheuristics technique which combines the osmotic behavior with bio-inspired load balancing algorithms in achieving load balancing between physical machines and shows results that show that OH_BAC decreases energy consumption, the number of VMs migrations and thenumber of shutdown hosts compared to existing algorithms.
Abstract: Cloud computing is increasing rapidly as a successful paradigm presenting on-demand infrastructure, platform, and software services to clients. Load balancing is one of the important issues in cloud computing to distribute the dynamic workload equally among all the nodes to avoid the status that some nodes are overloaded while others are underloaded. Many algorithms have been suggested to perform this task. Recently, worldview is turning into a new paradigm for optimization search by applying the osmosis theory from chemistry science to form osmotic computing. Osmotic computing is aimed to achieve balance in highly distributed environments. The main goal of this paper is to propose a hybrid metaheuristics technique which combines the osmotic behavior with bio-inspired load balancing algorithms. The osmotic behavior enables the automatic deployment of virtual machines (VMs) that are migrated through cloud infrastructures. Since the hybrid artificial bee colony and ant colony optimization proved its efficiency in the dynamic environment in cloud computing, the paper then exploits the advantages of these bio-inspired algorithms to form an osmotic hybrid artificial bee and ant colony (OH_BAC) optimization load balancing algorithm. It overcomes the drawbacks of the existing bio-inspired algorithms in achieving load balancing between physical machines. The simulation results show that OH_BAC decreases energy consumption, the number of VMs migrations and the number of shutdown hosts compared to existing algorithms. In addition, it enhances the quality of services (QoSs) which is measured by service level agreement violation (SLAV) and performance degradation due to migrations (PDMs).

66 citations

Proceedings ArticleDOI
25 Feb 2008
TL;DR: The proposal, SALMon, is based on monitoring the services for service level agreement (SLA) violations and is composed of three types of components: Monitors that are composed of measure instruments, the measured quality attributes being taken from an ISO/IEC 9126-1-based service oriented quality model; analyzers that check the SLA rules; and decision makers that perform corrective actions to satisfySLA rules again.
Abstract: One of the most successful architectural styles nowadays is service oriented architecture (SOA). In this type of architecture there are a lot of dependencies between services, but each service is an independent element of the system. In this situation we need some way to ensure that every service is working correctly and to take actions when something goes wrong to evolve the architecture as fast as we can. For example, if one of the lower level services of the service composition stops working, it could lead to a total or partial system malfunction. In this situation there is a need to be able to build reliable SOA systems. Our proposal, SALMon, is based on monitoring the services for service level agreement (SLA) violations. The SALMon architecture is composed of three types of components: Monitors that are composed of measure instruments, the measured quality attributes being taken from an ISO/IEC 9126-1-based service oriented quality model; analyzers that check the SLA rules; and decision makers that perform corrective actions to satisfy SLA rules again. These 3 types of components are mostly technology-independent and they act as services inside of a SOA system making our architecture very scalable and comfortable for its purpose.

66 citations

Proceedings ArticleDOI
27 Jun 2013
TL;DR: This work proposes the conceptual architecture of CLoud-based Analytics-as-a-Service (CLAaaS), a big data analytics service provisioning platform, in the cloud, and outlines the features that are important for CLAaaS as a service Provisioning system such as user and domain specific customization and assistance, collaboration, modular architecture for scalable deployment and Service Level Agreement.
Abstract: Data Analytics has proven its importance in knowledge discovery and decision support in different data and application domains. Big data analytics poses a serious challenge in terms of the necessary hardware and software resources. The cloud technology today offers a promising solution to this challenge by enabling ubiquitous and scalable provisioning of the computing resources. However, there are further challenges that remain to be addressed such as the availability of the required analytic software for various application domains, estimation and subscription of necessary resources for the analytic job or workflow, management of data in the cloud, and design, verification and execution of analytic workflows. We present a taxonomy for analytic workflow systems to highlight the important features in existing systems. Based on the taxonomy and a study of the existing analytic software and systems, we propose the conceptual architecture of CLoud-based Analytics-as-a-Service (CLAaaS), a big data analytics service provisioning platform, in the cloud. We outline the features that are important for CLAaaS as a service provisioning system such as user and domain specific customization and assistance, collaboration, modular architecture for scalable deployment and Service Level Agreement.

66 citations

Journal ArticleDOI
TL;DR: This paper discusses data-driven, statistical approaches for both, instance-level prediction (SLA compliance prediction for an ongoing business process instance) and forecasting (compliance prediction for future instances) and presents an integrated framework and numerically evaluates the approach based on a case study from the manufacturing domain.
Abstract: Service Level Agreements (SLAs), i.e., contractually binding agreements between service providers and clients, are gaining momentum as the main discriminating factor between service implementations. For providers, SLA compliance is of utmost importance, as violations typically lead to penalty payments or reduced customer satisfaction. In this paper, we discuss approaches to predict violations a priori. This allows operators to take timely remedial actions, and prevent SLA violations before they have occurred. We discuss data-driven, statistical approaches for both, instance-level prediction (SLA compliance prediction for an ongoing business process instance) and forecasting (compliance prediction for future instances). We present an integrated framework, and numerically evaluate our approach based on a case study from the manufacturing domain.

66 citations

Journal ArticleDOI
TL;DR: A survey of the protocols that have been proposed for facilitating dynamic service negotiation in the next-generation Internet and an enumerate of characteristics desired in an ideal service negotiation protocol and a comparison between the various protocols based on this list.
Abstract: This article presents a survey of the protocols that have been proposed for facilitating dynamic service negotiation in the next-generation Internet. We begin by illustrating the terms service level agreement and service level specification defined by the IETF. We then discuss the working of the existing service negotiation protocols with respect to generic network architecture. Following that, we enumerate a list of characteristics desired in an ideal service negotiation protocol and draw a comparison between the various protocols based on this list. We conclude the article by discussing possible future research directions in this area.

65 citations


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