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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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Book ChapterDOI
21 May 2007
TL;DR: It is argued that availability at the OS level plays the key role in the availability of service-oriented applications and an orthogonal OS design methodology suited for that purpose is proposed.
Abstract: The operating system's role is often neglected in the availability analysis of modern, service-oriented applications. The usual argumentation is that the underlying OS seems to be irrelevant in the world of today's web-centric applications. We propose a framework for construction of "service-oriented operating system" and examine the role it plays in physical and user-perceived service availability by investigating potential abstractions and integration points between service-oriented applications and OS architecture, such as treating OS as a set of collaborating services, introducing standard middleware services as parts of an OS and including support for server consolidation through virtualization. We demonstrate how to address the following dependability attributes at the OS level: service availability (readiness for correct service), service reliability (continuity of correct service), integrity (absence of improper system alterations) and maintainability (ability to undergo modifications and repair). We further argue that availability at the OS level plays the key role in the availability of service-oriented applications and propose an orthogonal OS design methodology suited for that purpose.

18 citations

Journal ArticleDOI
TL;DR: This article proposes a fog-enabled cellular vehicle-to-everything architecture that provides resources at the core, the edge and the vehicle layers, and provides lifecycle management mechanisms that can efficiently manage and orchestrate the underlying physical resources by leveraging live migration and scaling functionalities.
Abstract: The Internet of Things (IoT) ecosystem, as fostered by fifth generation (5G) applications, demands a highly available network infrastructure. In particular, the Internet of Vehicles use cases, as a subset of the overall IoT environment, require a combination of high availability and low latency in big volume support. This can be enabled by a network function virtualization architecture that is able to provide resources wherever and whenever needed, from the core to the edge up to the end user proximity, in accordance with the fog computing paradigm. In this article, we propose a fog-enabled cellular vehicle-to-everything architecture that provides resources at the core, the edge and the vehicle layers. The proposed architecture enables the connection of virtual machines, containers and unikernels that form an application-as-a-service function chain that can be deployed across the three layers. Furthermore, we provide lifecycle management mechanisms that can efficiently manage and orchestrate the underlying physical resources by leveraging live migration and scaling functionalities. Additionally, we design and implement a 5G platform to evaluate the basic functionalities of our proposed mechanisms in real-life scenarios. Finally, the experimental results demonstrate that our proposed scheme maximizes the accepted requests, without violating the applications' service level agreement.

18 citations

Proceedings ArticleDOI
01 Jun 2017
TL;DR: An sdn based information centric cloud framework to provision network resources in order to support elastic demands of cloud applications depending on SLA requirements is proposed.
Abstract: Cloud data centers are critical infrastructures to deliver cloud services. Although security and performance of cloud data centers have been well studied in the past, their networking aspects are overlooked. Current network infrastructures in cloud data centers limit the ability of cloud provider to offer guaranteed cloud network resources to users. In order to ensure security and performance requirements as defined in the service level agreement (SLA) between cloud user and provider, cloud providers need the ability to provision network resources dynamically and on the fly. The main challenge for cloud provider in utilizing network resource can be addressed by provisioning virtual networks that support information centric services by separating the control plane from the cloud infrastructure. In this paper, we propose an sdn based information centric cloud framework to provision network resourcesin order to support elastic demands of cloud applications depending on SLA requirements. The framework decouples the control plane and data plane wherein the conceptually centralized control plane controls and manages the fully distributed data plane. It computes the path to ensure security and performance of the network. We report initial experiment on average round-trip delay between consumers and producers.

18 citations

Journal ArticleDOI
TL;DR: Quantitative analysis of live migration within a cloud data centre gives a proper platform for considering future enhancements and/or modifications in the existing migration technology.

18 citations

Proceedings ArticleDOI
04 Sep 2012
TL;DR: The results show that better VM consolidation performance can be achieved by colocating MapReduce instances together with non-MapReduce instance in the same set of physical servers.
Abstract: In nowadays computing clouds, it is of the cloud providers' economic interests to correctly consolidate the workload of the virtual machines (VMs) into the suitable physical servers in the cloud data center in order to minimize the total maintenance cost. However, during the consolidation process, sufficient protection should be provided to the service level agreement (SLA) of the VMs. In this paper, the VM consolidation problem for MapReduce enabled computing clouds has been investigated. In the MapReduce enabled computing clouds, MapReduce jobs are carried out by homogeneous MapReduce VM instances that have identical hardware resource. Two resource allocation schemes with corresponding SLA constraints for the MapReduce VMs and the non-MapReduce VMs are proposed. Based on these schemes, the VM consolidation problem is modeled as an integer nonlinear optimization problem and an efficient algorithm has been proposed to locate its solutions. The results show that better VM consolidation performance can be achieved by colocating MapReduce instances together with non-MapReduce instances in the same set of physical servers.

18 citations


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