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.

Hierarchical SLA-Driven Resource Management for Peak Power-Aware and Energy-Efficient Operation of a Cloud Datacenter

Abstract: In this work, a hierarchical, service level agreement (SLA) based resource management solution for cloud datacenters is presented, which considers the energy non-proportionality of existing servers, peak power constraints, and cooling power consumption. The goal of this resource manager is to minimize the operational cost of the data center. The hierarchical structure of the proposed solution makes the resource management scalable. The proposed resource management solution simultaneously considers server and cooling power consumption, guarantee-based SLA and complexity of the decision making in the resource management of the cloud computing systems. Considering SLA and state of the datacenter in determining the amount of resource that needs to be allocated to applications results in significant reduction of the operational cost in datacenter. The effectiveness of the proposed management scheme compared to previous work is demonstrated using a comprehensive cloud computing simulation tool. The proposed resource management algorithms reduce the operational cost of a datacenter by about 40 percent while satisfying SLA constraints and decrease the run-time of the management algorithms by up to 86 percent with respect to the state of the art centralized management solution.

tSDX: Enabling Impairment-Aware All-Optical Inter-Domain Exchange

Abstract: Optical transmission systems exist ubiquitously in data center, access, metro and long-haul networks, and are divided into different autonomous domains based on different carrier ownership, network equipment manufacturers, geographical location, etc. Software-defined Internet exchange methods have been proposed to solve the long-standing problem of inter-domain routing and enable control flexibility in layer-3 networks, and software-defined networking (SDN) has also been introduced to optical networks and much progress has been made to enhance optical network control capability. In this paper, we investigate a transparent software-defined exchange (tSDX) with real-time impairment-aware service level agreement (SLA) guarantees for multidomain optical networks. An SDN-based hierarchical control architecture is designed and implemented. End-to-end, impairment-aware wavelength path provisioning is experimentally realized in a multidomain network. Real-time optical signal to noise ratio based optical performance monitoring, together with inter-domain negotiation enabled by our proposed SDN control architecture, serves as an SLA guarantee for 100-Gbps polarization-multiplexed quadrature phase-shift keying signals in dense wavelength division multiplexed transmission.

Monitoring of service level agreement by third party

Abstract: A service level agreement (SLA) monitoring system is provided for making fair determination as to an extent to which an SLA is achieved and for facilitating a procedure taken by a user to receive compensation when the SLA is violated. The monitoring system comprises a plurality of service level probing boxes and a monitoring center. Each of the service level probing boxes, which is installed as an interface between each user network and a provider network, monitors user packets to detect whether the SLA is violated, when the user packets flow from an originating user network to the provider network and when the user packets flow from the provider network to a destination user network, and transmits the result of detection to the monitoring center. The monitoring center conducts fact finding for a violation of the SLA based on information from each of the service level probing boxes, and acts as a procedure for claiming compensation in the name of a user in conformity with an SLA contract.

QoS-Driven web services selection in autonomic grid environments

Abstract: In the Service Oriented Architecture (SOA) complex applications can be described as business processes from independently developed services that can be selected at run time on the basis of the provided Quality of Service (QoS) However, QoS requirements are difficult to satisfy especially for the high variability of Internet application workloads Autonomic grid architectures, which provide basic mechanisms to dynamically re-configure service center infrastructures, can be be exploited to fullfill varying QoS requirements We tackle the problem of selection of Web services that assure the optimum mapping between each abstract Web service of a business process and a Web service which implements the abstract description, such that the overall quality of service perceived by the user is maximized The proposed solution guarantees the fulfillment of global constraints, considers variable quality of service profile of component Web services and the long term process execution The soundness of the proposed solution is shown trough the results obtained on an industrial application example Furthermore, preliminary computational experiments show that the identified solution has a gap of few percentage units to the global optimum of the problem.

MONAD: Self-Adaptive Micro-Service Infrastructure for Heterogeneous Scientific Workflows

Abstract: Scientific workflows have become a popular computational model in a variety of application domains, such as astronomy, material science, physics, and biology. As scientific applications are moving to the cloud to take advantage of the elasticity and service level agreement of resources, there has been a number of recent research efforts on cloud-based workflow systems that support various types of performance guarantees under resource cost constraints. However, most of the related work often requires advanced knowledge about workflow structures to perform scheduling and resource optimization. In addition, existing workflow systems usually employ a monolithic approach in workflow implementation and execution, which makes them inefficient in dealing with heterogeneous types of workflows. In this paper, we present MONAD, a self-adaptive micro-service infrastructure for heterogeneous scientific workflows. Specifically, our micro-service architecture helps improve the flexibility of workflow composition and execution, and enables fine-grained scheduling at task level, considering task sharing across different workflows. In addition, we employ a feedback control approach with artificial neural network-based system identification to provide resource adaptation without any advanced knowledge of workflow structures. Our evaluation on multiple realistic heterogeneous workflows demonstrates that our system is robust and efficient in dealing with dynamic scientific workloads.