[Show abstract][Hide abstract] ABSTRACT: The current manual management of services and applications in today's telecommunication networks is becoming increasingly complicated. In the Future Internet, management is assumed to be automated by introducing an autonomic layer of distributed management elements. These distributed management elements need to collaborate with each other to ensure end-to-end quality guarantees. In this paper, we focus on the context dissemination between such collaborative management elements. Context dissemination is the exchange of all relevant management data and knowledge between the elements. Collaborating elements typically generate large amounts of context and it is important to filter this continuous stream. We propose a context dissemination approach that automates the context exchange between elements. The approach enables the automated generation of semantic subscription filters. Subscription filters allow an element to define where, how, and when context needs to be requested from other entities. Moreover, the proposed approach allows making the subscription filter generation dependent on the context. We present algorithms that intelligently filter the knowledge that is stored in the ontology. The results show that the generation of subscription filters can be done in the order of tens of milliseconds.
Full-text · Article · Nov 2013 · Journal of Network and Computer Applications
[Show abstract][Hide abstract] ABSTRACT: The ever-increasing size, complexity and heterogeneity of telecommunications networks necessitate the introduction of autonomic elements that assist providers in managing and configuring the network's resources. To tackle this increased complexity, it is expected that many specialized autonomic elements will take part in the management process. It becomes necessary for them to collaborate and communicate in order to achieve high-level, human-specified, management goals. Therefore, the need for a scalable mechanism to facilitate the interactions between autonomic elements has arisen. This article presents a communications bus, augmented with semantics through the use of ontologies and semantic reasoning, which governs the communication and collaboration between autonomic elements. It supports filtering of context based on meaning. Additionally, it facilitates matchmaking of autonomic element goals with management services using semantic definitions of their inputs, outputs, preconditions and effects. Furthermore, the delay introduced by semantic reasoning was evaluated through an implemented prototype and was shown to be limited to only a few milliseconds.
Full-text · Article · Jul 2012 · International Journal of Network Management
[Show abstract][Hide abstract] ABSTRACT: The Internet is a very successful modern technology and is considered to be one of the most important means of communication. Despite that success, fundamental architectural and business limitations exist in the Internet's design. Among these limitations, we focus on a specific issue, the lack of manageability, in this paper. Although it is generally understood that management is a significant and important part of network and service design, it has not been considered as an integral part in their design phase. We address this problem with our future Internet management architecture called highly manageable network and service architecture for new generation (HiMang), which is a novel architecture that aims at integrating management capabilities into network and service design. HiMang is highly manageable in the sense that it is autonomous, scalable, robust, and evolutionary while reducing the complexity of network management. Unlike any other management framework, HiMang provides management support for the revolutionary networks of the future while maintaining backward compatibility for existing networks.
No preview · Article · Dec 2011 · Journal of Communications and Networks
[Show abstract][Hide abstract] ABSTRACT: The growing popularity of the Internet has caused the size and complexity of communications and computing systems to greatly increase in recent years. To alleviate this increased management complexity, novel autonomic management architectures have emerged, in which many automated components manage the network's resources in a distributed fashion. However, in order to achieve effective collaboration between these management components, they need to be able to efficiently exchange information in a timely fashion. In this article, we propose a context dissemination framework that addresses this problem. To achieve scalability, the management components are structured in a hierarchy. The framework facilitates the aggregation and translation of information as it is propagated through the hierarchy. Additionally, by way of semantics, context is filtered based on meaning and is disseminated intelligently according to dynamically changing context requirements. This significantly reduces the exchange of superfluous context and thus further increases scalability. The large size of modern federated cloud computing infrastructures, makes the presented context dissemination framework ideally suited to improve their management efficiency and scalability. The specific context requirements for the management of a cloud data center are identified, and our context dissemination approach is applied to it. Additionally, an extensive evaluation of the framework in a large-scale cloud data center scenario was performed in order to characterize the benefits of our approach, in terms of scalability and reasoning time.
Full-text · Article · Dec 2011 · Journal of Communications and Networks
[Show abstract][Hide abstract] ABSTRACT: The 3rd IFIP/IEEE International Workshop on Management of the Future Internet (ManFI 2011) was held on May 27, 2011 in Dublin,
Ireland. This report summarizes the presentations and discussions in ManFI 2011 and provides a high-level view of challenges,
strategies and the current state of the research activities in the field of the Future Internet management.
KeywordsFuture internet–Network management–Future Internet management–Management architecture–Autonomic networking
Preview · Article · Dec 2011 · Journal of Network and Systems Management
[Show abstract][Hide abstract] ABSTRACT: Since the IEEE 802.16 first standard was proposed in 2004 to provide broadband wireless service, the standard has not only been widely studied, but also broadly commercialized. The current IEEE 802.16-2009 standard document specifies five Quality of Service classes. As is typical with most standards, IEEE 802.16 does not require the use of a specific scheduler. In this paper, we first evaluate the performance of four popular schedulers. By analyzing the results, we highlight that no single scheduler type performs the best in all traffic situations; however, we shown that there exist the most favorable scheduler type in each situation. Based on this rationale, our idea is to propose an adaptive scheduling schema where the scheduler is dynamically chosen based on the current traffic context, such as the number of flows of each Quality of Service class. We investigate this approach and evaluate its performance against existing static schemas. The results show that our approach presents some interesting performances in terms of throughput, delay, and packet loss ratio regarding state of art approaches.
[Show abstract][Hide abstract] ABSTRACT: In this paper, we present an autonomic management method to provide personalized handover decisions for customized mobility management in heterogeneous wireless networks. A handover decision is a significant problem, especially in a heterogeneous network environment. This is exacerbated when the goal is to provide personalized services for mobile users. Personalized handover decisions should not only consider received signal strength, which is a traditional handover decision factor, but also context information, user preferences, user profiles, and other non-functional requirements. We present two metrics for evaluating access points: access point acceptance value and access point satisfaction value. Our algorithm uses a combination of functional and non-functional metrics to select the access point that has the maximum satisfaction value. In our simulation study, we show that our decision algorithm is better than other decision algorithms in terms of end user satisfaction.
No preview · Article · May 2011 · Computer Networks
[Show abstract][Hide abstract] ABSTRACT: Research and development in the management of the Future Internet have come a long way, and we are delighted to present the proceedings of the 3rd IFIP/IEEE International Workshop on Management of the Future Internet (ManFI). This year, this workshop was held in conjunction with the 12th IFIP/IEEE International Symposium on Integrated Network Management (IM) in Dublin, Ireland. Further information for ManFI and IM can be found at http://www.manfi.org/ and http://www.ieee-im.org/, respectively.
[Show abstract][Hide abstract] ABSTRACT: This paper presents tool support for testing mobility of mobile devices in heterogeneous mobile networks. As mobile devices are growing and networks are becoming heterogeneous, their mobility management in heterogeneous mobile networks has become important. Nonetheless, previous network simulators have focused on handover protocols at layer 2 or layer 3, but have not focused on handover decisions at layer 7. This tool suite allows the user to create multiple types of mobile networks, mobile nodes, and network servers for testing mobility of mobile devices. Moreover, it also allows the user to create simulation scenarios and generates testing results based on users' demands. This paper presents the requirements, design, and implementation of the tool suite. We show the feasibility of our tool using a case study of context-aware handover decision management.
[Show abstract][Hide abstract] ABSTRACT: The majority of existing recommender systems use one or more statistical techniques to recommend content. While such techniques can be very effective, they have a number of restrictions, such as their inability to recommend items based on meaning or relationships between different characteristics of each item. This paper describes the design of a hybrid recommender system that uses a combination of statistical and semantic mechanisms to recommend content. In addition, semantics are used to fine-tune the nature of the recommendation on a context-specific basis. Future extensions based on social networks are also described.
[Show abstract][Hide abstract] ABSTRACT: ac.kr Abstract-Peer-to -peer (P2P) systems have many important advantages. However, most existing P2P systems are limited to providing resource searches based on simple keyword matching, and do not provide any semantic information about the content of the objects stored and the relationships between those objects. This paper proposes the design of a hierarchical semantic overlay network that can be used for content-based full-text search, and is part of our work to use semantics in network management. Our semantic overlay network is based on creating a semantic cluster of objects that is associated with each node in the P2P DHT to provide semantic search. We validate some research questions in our approach by conducting simulations.
[Show abstract][Hide abstract] ABSTRACT: To support rapidly evolving business models, communications network management systems are increasingly being federated to provide more flexible, end-to-end service management. In the future, such federation will need to be achieved dynamically,
thus management systems will need to incorporate capabilities supporting negotiation of federations and management of their
lifecycle. We discuss how federations can be governed via negotiated federation-level policies, that should be consistent with the relevant local policies of individual federation members. We describe a policy authoring process, outlining the steps to be taken when local or federation-level
policies are created, modified or withdrawn. As this process depends on the presence of a rich system model for policy analysis
we describe an extension to DEN-ng that models governance of federated domains. Finally, we outline a case study relating to inter-organisation XMPP federations
to illustrate the policy authoring process.
[Show abstract][Hide abstract] ABSTRACT: Recently, autonomics have been proposed as a solution to tackle the ever-increasing management complexity of large-scale computing
and communications infrastructures. Over time, the control loops used to orchestrate the intelligent behaviour of autonomic
management architectures have evolved from fully static to highly-dynamic loops comprised of loosely coupled management components.
Communication and other interactions between these components is facilitated by a communications substrate. Additionally,
in order to achieve truly autonomic behaviour, the interacting components need to be able to understand each other, justifying
the need for semantically enriched communications. In this paper, we present a novel semantic communications bus that orchestrates
interactions between the components of an autonomic control loop. It employs ontology-based reasoning in order to establish
communication contracts, validate message consistency and support semantic topic subscriptions. Additionally, a prototype
was designed, implemented and its performance evaluated.
[Show abstract][Hide abstract] ABSTRACT: The demand for new and innovative services, and especially for personalized services, continues to increase. In such systems,
different services may compete for the same set of shared resources. Hence, the mix of services and resources that each has often results in conflicting demands on shared resources, and is becoming increasingly
difficult to manage. Autonomic systems that provide virtual resources and services can provide important management benefits
to ensure that the needs of different services can simultaneously be met. This paper describes the requirements for provisioning
and managing virtual resources and services, and extends the DEN-ng information model to architect such systems.
[Show abstract][Hide abstract] ABSTRACT: In the last decade, networks have evolved from simple data packet forwarding to platforms that support complex multimedia
services, such as network-based personal video recording and broadcast TV. Each of these services has significant quality
demands: they are very sensitive to packet loss and jitter, and require a substantial amount of bandwidth. As the quality
perceived by the end user gives the most accurate view on the streamed service quality, operators are increasing their focus
on this type of metric, commonly described as Quality of Experience. This paper presents the design of a Quality of Experience
information model that defines important metrics for measuring service quality. Based on these metrics, we define a novel
control loop that represents the relationships among Quality of Experience, the Customer, and network services.
[Show abstract][Hide abstract] ABSTRACT: At last year's ICUFN we presented an architecture for managing ubiquitous computing networks and applications . This year we want to show how we can implement this architecture to realise and deploy a small yet powerful management system. The use case for demonstrating our implementation is one of the most commonly used ubiquitous service - instant messaging. The described management system is currently deployed in a distributed testbed between several Irish universities and Cisco.
[Show abstract][Hide abstract] ABSTRACT: Application level traffic classification is one of the major issues in network monitoring and traffic engineering. In our previous study, we proposed a new traffic classification method that utilizes a flow similarity function based on Cosine Similarity. This paper compares the classification accuracy of three similarity metrics, Jaccard Similarity, Cosine Similarity, and Gaussian Radius Based Function, to select appropriate similarity metrics for application traffic classification. This paper also defines a new two-stage traffic classification algorithm that can guarantee high classification accuracy even under an asymmetric routing environment, with reasonable complexity.
[Show abstract][Hide abstract] ABSTRACT: Recently, the autonomic communication networks paradigm has been introduced as a solution to the increasing management complexity of communication networks in the Future Internet. In order to encompass the large-scale nature of these networks, a general consensus has been reached that the supporting autonomic management architectures should be distributed for scalability reasons. However, several open issues related to the distribution of autonomic components remain to be solved. In this paper, we propose a novel approach to structuring distributed autonomic components in large-scale communication networks. The approach is generic and can be applied to many existing autonomic architectures and control loops. The autonomic components are structured in a hierarchy, which simplifies the interaction between components, and allows them to manage resources and govern child components in a more scalable manner. In addition to giving a detailed description of the hierarchical architecture, the advantages of the proposed approach are validated through analytical evaluation results.
[Show abstract][Hide abstract] ABSTRACT: Network management has suffered from increases in business, system, and operational complexity. This has been exacerbated by the heterogeneity in management data as well as the high quality requirements of multimedia services. Autonomic networking manages this growing complexity by adding intelligence inside network nodes and network management applications. While most autonomic applications simply use a control loop to monitor and configure entities, our work is aimed at building a self-governing network that is able to fulfill the requirements of current and future services. This means that management applications need a detailed and dynamic view of the contextual status of the network nodes as a whole in order to adapt their behaviour to changing context. In this paper, we propose an algorithm to semi-automatically generate filter rules based on existing information in a network management information model. These filter rules are used to determine the set of contextual data that needs to be exchanged with other nodes. The algorithm exploits the reasoning capabilities of ontologies and relies on the introduction of additional semantic relationships to achieve a fine-grained context exchange model. Large scale evaluations were conducted to characterise the performance of this ontological approach.