18 research outputs found

    Monitoring of a virtual infrastructure testbed

    Get PDF
    This paper presents a SNMP-based Monitoring Agents for Multi-Constrain Resource Scheduling in Grids (SBLOMARS) as an effective solution for resource usage monitoring in virtual network environments. SBLOMARS is different to current large-scale distributed monitoring systems in three essential aspects: Firstly, it reaches a high level of generality by the integration of the SNMP protocol and thus, facilitates to handle heterogeneous operating platforms. Secondly, it is able to self-configure the polling periods of the resources to be monitored depending of network context and finally, it makes use of dynamic software structures to interface with third parties, allowing to be deployed in a wide range of devices, from simple mobile access devices to robust multiprocessor systems or clusters with even multiple hard disks and storage partitions. SBLOMARS has been deployed in EmanicsLab, a virtual laboratory constituted by fourteen nodes distributed in seven European Universities. Although the research is not yet concluded, available results confirm its suitability to deal with the challenges of monitoring virtual networks.Postprint (published version

    The AutoI approach for the orchestration of autonomic networks

    No full text
    Existing services require assurable end to-end quality of service, security and reliability constraints. Therefore, the networks involved in the transport of the data must cooperate to satisfy those constraints. In a next generation Internet, each of those networks may be managed by different entities. Fur thermore, their policies and service level agreements (SLAs) will differ, as well as the autonomic management systems controlling them. In this context, we in the Autonomic Internet (AutoI) consortium propose the Orchestration Plane (OP), which promotes the interaction among different Autonomic Management Systems (AMSs). The OP mediates the communication and negotiation amongAMSs, ensuring that their SLAs and policies meet the requirement needed for the provisioning of the services. It also simplifies the federation of domains and the distribution of new services in virtualised network environments.Peer ReviewedPostprint (author’s final draft

    Platforms and software systems for an autonomic internet

    Get PDF
    The current Internet does not enable easy introduction and deployment of new network technologies and services. This paper aims to progress the Future Internet (FI) by introduction of a service composition and execution environment that re-use existing components of access and core networks. This paper presents essential service-centric platforms and software systems that have been developed with the aim to create a flexible environment for an Autonomic Internet.Peer ReviewedPostprint (published version

    Monitoring of a virtual infrastructure testbed

    No full text
    This paper presents a SNMP-based Monitoring Agents for Multi-Constrain Resource Scheduling in Grids (SBLOMARS) as an effective solution for resource usage monitoring in virtual network environments. SBLOMARS is different to current large-scale distributed monitoring systems in three essential aspects: Firstly, it reaches a high level of generality by the integration of the SNMP protocol and thus, facilitates to handle heterogeneous operating platforms. Secondly, it is able to self-configure the polling periods of the resources to be monitored depending of network context and finally, it makes use of dynamic software structures to interface with third parties, allowing to be deployed in a wide range of devices, from simple mobile access devices to robust multiprocessor systems or clusters with even multiple hard disks and storage partitions. SBLOMARS has been deployed in EmanicsLab, a virtual laboratory constituted by fourteen nodes distributed in seven European Universities. Although the research is not yet concluded, available results confirm its suitability to deal with the challenges of monitoring virtual networks

    Monitoring of a virtual infrastructure testbed

    No full text
    This paper presents a SNMP-based Monitoring Agents for Multi-Constrain Resource Scheduling in Grids (SBLOMARS) as an effective solution for resource usage monitoring in virtual network environments. SBLOMARS is different to current large-scale distributed monitoring systems in three essential aspects: Firstly, it reaches a high level of generality by the integration of the SNMP protocol and thus, facilitates to handle heterogeneous operating platforms. Secondly, it is able to self-configure the polling periods of the resources to be monitored depending of network context and finally, it makes use of dynamic software structures to interface with third parties, allowing to be deployed in a wide range of devices, from simple mobile access devices to robust multiprocessor systems or clusters with even multiple hard disks and storage partitions. SBLOMARS has been deployed in EmanicsLab, a virtual laboratory constituted by fourteen nodes distributed in seven European Universities. Although the research is not yet concluded, available results confirm its suitability to deal with the challenges of monitoring virtual networks

    Policy-assisted planning and deployment of virtual networks

    No full text
    We present an approach for deploying and subsequently managing a virtual network overlay, which is tailored to an end-user’s request. Our approach combines a binary integer optimisation process to decide on the number and placement of virtual routers, and an autonomic network management system that subsequently manages the configuration of the running virtual network. High-level optimisation policies are used to guide the optimisation process to identify a virtual network that favours lower hosting costs or higher network quality (we use mean delays as a quality metric). Low-level deployment policies are generated and used to govern the deployment and management of the virtual networks. Our results indicate that the binary integer optimisation process produces a virtual network that has lower cost as compared to creating a network based on combined shortest paths.Peer ReviewedPostprint (published version

    Policy-assisted planning and deployment of virtual networks

    No full text
    We present an approach for deploying and subsequently managing a virtual network overlay, which is tailored to an end-user’s request. Our approach combines a binary integer optimisation process to decide on the number and placement of virtual routers, and an autonomic network management system that subsequently manages the configuration of the running virtual network. High-level optimisation policies are used to guide the optimisation process to identify a virtual network that favours lower hosting costs or higher network quality (we use mean delays as a quality metric). Low-level deployment policies are generated and used to govern the deployment and management of the virtual networks. Our results indicate that the binary integer optimisation process produces a virtual network that has lower cost as compared to creating a network based on combined shortest paths.Peer Reviewe

    Policy-assisted planning and deployment of virtual networks

    No full text
    We present an approach for deploying and subsequently managing a virtual network overlay, which is tailored to an end-user’s request. Our approach combines a binary integer optimisation process to decide on the number and placement of virtual routers, and an autonomic network management system that subsequently manages the configuration of the running virtual network. High-level optimisation policies are used to guide the optimisation process to identify a virtual network that favours lower hosting costs or higher network quality (we use mean delays as a quality metric). Low-level deployment policies are generated and used to govern the deployment and management of the virtual networks. Our results indicate that the binary integer optimisation process produces a virtual network that has lower cost as compared to creating a network based on combined shortest paths.Peer Reviewe

    The AutoI approach for the orchestration of autonomic networks

    No full text
    Existing services require assurable end to-end quality of service, security and reliability constraints. Therefore, the networks involved in the transport of the data must cooperate to satisfy those constraints. In a next generation Internet, each of those networks may be managed by different entities. Fur thermore, their policies and service level agreements (SLAs) will differ, as well as the autonomic management systems controlling them. In this context, we in the Autonomic Internet (AutoI) consortium propose the Orchestration Plane (OP), which promotes the interaction among different Autonomic Management Systems (AMSs). The OP mediates the communication and negotiation amongAMSs, ensuring that their SLAs and policies meet the requirement needed for the provisioning of the services. It also simplifies the federation of domains and the distribution of new services in virtualised network environments.Peer Reviewe

    A viewpoint of the network management paradigm for future Internet networks

    No full text
    This paper presents a viewpoint of the management for the Future Internet. For this description we consider the architectural model developed by the EU IST Autonomic Internet – AUTOI – consortium for the management design of the Future Internet as a service- and self-aware network that guarantees built-in orchestrated reliability, robustness, mobility, context, access, security, service support and self-management of the communication resources and services. The paper positions the autonomic network management approach taken by the AUTOI solution in a Future Internet scenario and describes the main interactions involved of the different distributed management systems running within the network in the context of the aforementioned scenario. The paper also provides a selection of the technical difficulties encountered so far while developing such a management approach.Peer ReviewedPostprint (published version
    corecore