Network management

About: Network management is a research topic. Over the lifetime, 17859 publications have been published within this topic receiving 234520 citations. The topic is also known as: computer network management & NM.

Topology discovery for large ethernet networks

Abstract: Accurate network topology information is important for both network management and application performance prediction. Most topology discovery research has focused on wide-area networks and examined topology only at the IP router level, ignoring the need for LAN topology information. Recent work has demonstrated that bridged Ethernet topology can be determined using standard SNMP MIBs; however, these algorithms require each bridge to learn about all other bridges in the network. Our approach to Ethernet topology discovery can determine the connection between a pair of the bridges that share forwarding entries for only three hosts. This minimal knowledge requirement significantly expands the size of the network that can be discovered. We have implemented the new algorithm, and it has accurately determined the topology of several different networks using a variety of hardware and network configurations. Our implementation requires access to only one endpoint to perform the queries needed for topology discovery.

Topology discovery in heterogeneous IP networks

Abstract: Knowledge of the up-to-date physical topology of an IP network is crucial to a number of critical network management tasks, including reactive and proactive resource management, event correlation, and root-cause analysis. Given the dynamic nature of today's IP networks, keeping track of topology information manually is a daunting (if not impossible) task. Thus, effective algorithms for automatically discovering physical network topology are necessary. Earlier work has typically concentrated on either: (a) discovering logical (i.e., layer-3) topology, which implies that the connectivity of all layer-2 elements (e.g., switches and bridges) is ignored; or (b) proprietary solutions targeting specific product families. In this paper, we present novel algorithms for discovering physical topology in heterogeneous (i.e., multi-vendor) IP networks. Our algorithms rely on standard SNMP MIB information that is widely supported by modern IP network elements and require no modifications to the operating system software running on elements or hosts. We have implemented the algorithms presented in this paper in the context of a topology discovery tool that has been tested on Lucent's own research network. The experimental results clearly validate our approach, demonstrating that our tool can consistently discover the accurate physical network topology in time that is roughly quadratic in the number of network elements.

Event notification in storage networks

Abstract: A heterogeneous network includes network related hardware and software products from a plurality of vendors The network includes a storage system configured to store data, a server configured to process requests, a switch coupling the storage system and the server for data communication, and a network manager including an event dictionary to interpret an event message received from a device experiencing failure

Performance and status monitoring in a computer network

Abstract: Provided is a method and a system for computer network monitoring, implemented in a network in which processes communicate using message queuing. Each node of the network has a network management program installed thereon which includes two independent components: a Point Of Control (POC) program for initiating network tests by injecting a test message into the network and for receiving responses from all the nodes of the network; and a Network Test Program (NTP) for sending a reply message to the single POC for a particular test when the NTP receives test messages within that test, and for propagating the test by forwarding a message to all of the current node's adjacent nodes. Test results are analyzed at the POC for display to the network administrator. Injected test messages propagate throughout the network in a self-exploring manner, exploiting the parallelism of the network. The individual nodes are not required to know the network topology other than to know their nearest neighbor nodes.

Preemptive virtual clock: a flexible, efficient, and cost-effective QOS scheme for networks-on-chip

Abstract: Future many-core chip multiprocessors (CMPs) and systems-on-a-chip (SOCs) will have numerous processing elements executing multiple applications concurrently. These applications and their respective threads will interfere at the on-chip network level and compete for shared resources such as cache banks, memory controllers, and specialized accelerators. Often, the communication and sharing patterns of these applications will be impossible to predict off-line, making fairness guarantees and performance isolation difficult through static thread and link scheduling. Prior techniques for providing network quality-of-service (QOS) have too much algorithmic complexity, cost (area and/or energy) or performance overhead to be attractive for on-chip implementation. To better understand the preferred solution space, we define desirable features and evaluation metrics for QOS in a network-on-a-chip (NOC). Our insights lead us to propose a novel QOS system called Preemptive Virtual Clock (PVC). PVC provides strong guarantees, reduces packet delay variation, and enables efficient reclamation of idle network bandwidth without per-flow buffering at the routers and with minimal buffering at the source nodes. PVC averts priority inversion through preemption of lower-priority packets. By controlling preemption aggressiveness, PVC enables a trade-off between the strength of the guarantees and overall throughput. Finally, PVC simplifies network management through a flexible allocation mechanism that enables per-application bandwidth provisioning independent of thread count and supports transparent bandwidth recycling among an application's threads.