Abstract: The present invention develops an efficient streaming method for detecting multidimensional hierarchical heavy hitters from massive data streams and enables near real time detection of anomaly behavior in networks.

Abstract: An efficient streaming method and apparatus for detecting hierarchical heavy hitters from massive data streams is disclosed. In one embodiment, the method enables near real time detection of anomaly behavior in networks.

Abstract: An efficient streaming method and apparatus for detecting hierarchical heavy hitters from massive data streams is disclosed. In one embodiment, the method enables near real time detection of anomaly behavior in networks.

Abstract: The present invention develops an efficient streaming method for detecting multidimensional hierarchical heavy hitters from massive data streams and enables near real time detection of anomaly behavior in networks.

Abstract: A method and system provide for management of a collection of data records. The data records have associated therewith an identifier or code that indicates the most coarse level of granularity with which the data record is associated in a hierarchy of sampling subsets created across a range of granularity levels.

Abstract: The present invention provides apparatus for sampling data flows in a data network in order to estimate a total data volume in the network. Sampling the data flows in the data network reduces the network resources that must be expended by the network to support the associated activity. The present invention enables the service provider of the data network to control sampled volumes in relation to the desired accuracy. The control can be either static or can be dynamic for cases in which the data volumes are changing as a function of time.

Abstract: A method and system provide for management of a collection of data records. The data records have associated therewith an identifier or code that indicates the most coarse level of granularity with which the data record is associated in a hierarchy of sampling subsets created across a range of granularity levels.

Abstract: The present invention provides apparatus for sampling data flows in a data network in order to estimate a total data volume in the network. Sampling the data flows in the data network reduces the network resources that must be expended by the network to support the associated activity. The present invention enables the service provider of the data network to control sampled volumes in relation to the desired accuracy. The control can be either static or can be dynamic for cases in which the data volumes are changing as a function of time.

Abstract: Two regularized estimators that avoid the pathologies associated with variance estimation are disclosed. The regularized variance estimator adds a contribution to estimated variance representing the likely error, and hence ameliorates the pathologies of estimating small variances while at the same time allowing more reliable estimates to be balanced in the convex combination estimator. The bounded variance estimator employs an upper bound to the variance which avoids estimation pathologies when sampling probabilities are very small.

Abstract: The present invention provides a method and apparatus for sampling data flows in a data network in order to estimate a total data volume in the network. Sampling the data flows In the data network reduces the network resources that must be expended by the network to support the associated activity. The present Invention enables the service provider of the data network to control sampled volumes in relation to the desired accuracy. The control can be either static or can be dynamic for cases in which the data volumes are changing as a function of time.

Abstract: The present invention is directed to a method and system for deriving traffic demands for a packet-switched network. A novel model of defining traffic demands as a volume of load originating from an ingress link and destined to a set of egress links enables support for traffic engineering and performance debugging of large operational packet-switched networks.

Abstract: The present invention provides a method for sampling data flows in a data network in order to estimate a total data volume in the network. Sampling the data flows in the data network reduces the network resources that must be expended by the network to support the associated activity. The present invention enables the service provider of the data network to control sampled volumes in relation to the desired accuracy. The control can be either static or can be dynamic for cases in which the data volumes are changing as a function of time.

Abstract: The present invention provides apparatus for sampling data flows in a data network in order to estimate a total data volume in the network. Sampling the data flows in the data network reduces the network resources that must be expended by the network to support the associated activity. The present invention enables the service provider of the data network to control sampled volumes in relation to the desired accuracy. The control can be either static or can be dynamic for cases in which the data volumes are changing as a function of time.

Abstract: The present invention is directed to a method and system for deriving traffic demands for a packet-switched network. A novel model of defining traffic demands as a volume of load originating from an ingress link and destined to a set of egress links enables support for traffic engineering and performance debugging of large operational packet-switched networks.

Abstract: The present invention is directed to a novel system and method for traffic engineering in a packet-switched network, such as an Internet Protocol (“IP”) based backbone network. A global view of the network is constructed utilizing a network data model that can be readily constructed from the balkanized network information associated locally with the individual elements in the network. The data model, in turn, can be utilized to support useful traffic engineering tools such as routing modeling and visualization.

Abstract: A container (1) for a hypodermic syringe (3) and of the type which allows it to be seen or observed in another manner that the container has been opened. The container (1) comprises a plug (5) having more than one tamper-proof mechanism. This ensures both that the hypodermic syringe (3) can reach the user in a state which allows it to be seen whether it has been opened, and that, after use, it can be disposed of in such a state that re-use is impeded considerably.

Abstract: A Fair Arbitrated Round Robin (FARR) method is disclosed for scheduling the crossbar of an input-buffered asynchronous transfer mode (ATM) switch using an arbiter. Per-virtual-circuit queuing of ATM cells is performed.