Providing Cost-effective QoS Monitoring in Multiservice Networks

Proceedings of the 16th European Conference on Pattern Languages of Programs - EuroPLoP '11, 2011

In service-oriented systems, service-level agreements (SLA) are specified as contracts between service providers and service consumers. SLAs stipulate-among other things-the provided services' performance. A service provider must fulfill the agreements stated in SLAs, e.g., to avoid paying penalties. Service consumers must verify whether the service quality as purchased is delivered. We present an architectural design decision model (ADDM) covering the design of a QoS monitoring infrastructure. The ADDM collects design decisions about measuring, storing, and evaluating performance-related quality-ofservice (QoS) agreements. The model includes various requirements and puts forth design solutions by referring to established architectural, remoting, and design patterns. We evaluate the ADDM to build the architecture of a QoS monitoring infrastructure in a case study. The model guides through the decision-making process of designing a QoS monitoring infrastructure.

21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07), 2007

Telecom operators face an increasing need for service quality management to cope with competition and complex service portfolios in the mobile sector. Improvements in this area can lead to significant market benefits for operators in highly competitive markets. We propose an architecture for a service monitoring tool, including a time aware formal language for model specification. Using these models allows for increased predictability and flexibility in a constantly changing environment.

IEEE Network, 2004

Continuous monitoring of network status and its resources are necessary to ensure proper network operation. Deployment of QoS-based value-added services in IP networks necessitates the employment of resource management techniques and specifically the use of traffic engineering. The latter typically relies on monitoring data for both offline proactive and dynamic reactive solutions. The variety of data to be collected and analyzed using different measurement methods and tools, and the extent of monitoring information to use demand a proper QoS monitoring infrastructure. A monitoring system should be scalable in terms of network size, speed, and number of customers subscribed to value-added services. This article investigates the requirements of scalable monitoring system architectures, proposes principles for designing such systems, and validates them through the design and implementation of a scalable monitoring system for QoS delivery in IP differentiated services networks. Experimental assessment results prove the accuracy and scalability of the proposed monitoring system.

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 2011

Autonomic monitoring procedures in multi-service networks provide not only feedback to end users, but also self-handling monitoring events to network operators. In this work, we present an autonomic monitoring framework for Quality of Service (QoS) management in multi-service networks. Our framework introduces aggregation mechanisms to deal with the excessive number of alarms, triggered in an autonomic networking environment. The proposed framework was assessed via an early prototype, deployed to IPv6 endsites, distributed across Europe and interconnected via the Internet.

Today, the deployment of Web services in many enterprise applications has gained much attention. Service network inhibits certain common properties as they arise spontaneously and are subject to high fluctuation. The objective of consumer is to compose services for stable business processes in coherence with their legacy system capabilities and with better quality of services. For this purpose we have proposed a dynamic decision model that integrates several performance metrics and attributes to monitor the performance of service oriented systems in order to ensure their sustainability. Based on the available metrics, we have identified performance metrics criteria and classified into categories like time based QoS, size based QoS, combined QoS and estimated attributes. Then we have designed service network monitoring ontology (SNM). Our decision model will take user query and SNM as input, measures the performance capabilities and suggests some new performance configurations like selected service is not available, physical resource is not available and no maintenance will be available for the selected service for composition.

Offering QoS on TCP/IP networks is the object of intense research. New applications, such as telemedicine, distance learning, videoconference and others can only be implemented on environments that ensure QoS for the existing services. Usually, routers are the network resources that undergo changes in order to implement it – hosts have little or no influence. This paper presents an implementation of QoS structures offered directly from the host. It also presents a marking process that is run on the end systems and can be remotely managed via SNMP. A signaling application is also described in order to allow QoS requests to inherited applications that do not perceive QoS service on the networks.

Signal, Image and Video Processing, 2008

One of the future visions of multimedia networking is the provision of multimedia content at a variety of quality and price levels. Of the many approaches to this issue, one of the most predominant techniques is the concept of Perceived Quality of Service (PQoS), which extends the traditional engineering-based QoS concept to the perceptual satisfaction that the user receives from the reception of multimedia content. In this context, PQoS monitoring is becoming crucial to media service providers (SPs) for providing not only quantified PQoS-based services, but also service assurance based on multimedia content adaptation across heterogeneous networks. This work proposes a novel cross-layer monitoring architecture that utilizes a new Network QoS (NQoS) to PQoS mapping framework at the application level. The resulting QoS monitoring should allow the content delivery system to take sophisticated actions for real time media content adaptation, and aims to provide perceived service performance verification with respect to the QoS guarantees that have been specified in contractual agreements between providers and end-users. A subsequent performance evaluation of the proposed model conducted using a real test-bed environment demonstrates both the accuracy and feasibility of the network level measurements, the NQoS to PQoS mapping and the overall feasibility of the proposed end-to-end monitoring solution.

Euro-Par 2011: Parallel Processing Workshops, 2012

The evolution of Cloud Computing environments has resulted in a new impulse to the service oriented computing, with hardware resources, whole applications and entire business processes provided as services in the so called "as a service" paradigm. In such a paradigm the resulting interactions should involve actors (users and providers of services) belonging to different entities and possibly to different companies, hence the success of such a new vision of the IT world is strictly tied to the possibility of guaranteed high quality levels in the provisioning of resources and services. In this paper we present QoSMONaaS (Quality of Service MONitoring as a Service), a QoS monitoring facility built on top of the SRT-15, a Cloud-oriented and CEP-based platform being developed in the context of the homonymous EU funded project. In particular we present the main components of QoSMONaaS and illustrate QoSMONaaS operation and internals with respect to a substantial case study of an Internet of Thing (IoT) application.

2016

— Cloud computing provides on-demand access to affordable hardware (e.g., multi-core CPUs, GPUs, disks, and networking equipment) and software (e.g., databases, application servers and data processing frameworks) platforms with features such as elasticity, pay-per-use, low upfront investment and low time to market. This has led to the proliferation of business critical applications that leverage various cloud platforms. Such applications hosted on single/multiple cloud provider platforms have diverse characteristics requiring extensive monitoring and benchmarking mechanisms to ensure run-time Quality of Service (QoS) (e.g., latency and throughput). This paper proposes, develops and validates CLAMBS—Cross-Layer Multi-Cloud Application Monitoring and Benchmarking as-a-Service for efficient QoS monitoring and benchmarking of cloud applications hosted on multi-clouds environments. The major highlight of CLAMBS is its capability of monitoring and benchmarking individual application compo...

Proceedings of the 2014 Federated Conference on Computer Science and Information Systems, 2014

Software Defined Networks are intended to be less complex, more flexible, and free of vendor-lock-ins. Therefore the Software Defined Networking (SDN) instantiation OpenFlow has been designed according to these properties. The efforts are expected to result in lower expenditure and operational costs. To reach these objectives, mechanisms of classical networks that provide established functionalities have to be revalued and either transformed or redesigned from scratch to take advantage from SDNs. In this paper we describe our vision on flow sampling suitable for traffic monitoring in those networks. Without the loss of generality our approach was specifically created to monitor the quality of service for flows. We describe monitoring as one of possibly many applications that communicate with the SDN controller via the SDN Northbound API. We implemented a prototype SDN application called MonSamp and performed tests to demonstrate the feasibility of our concept.