Abstract: In one embodiment, a statistical model is generated based on observed data, the observed data being associated with a network device, online parameter fitting is performed on parameters of the statistical model, and for each newly observed data value, a forecast value is generated based on the statistical model, the forecast value being a prediction of a next observed data value, a forecasting error is generated based on the forecast value and the newly observed data value, and whether the data of the network stream is abnormal is determined based on a log likelihood ratio test of the forecasting errors and a threshold value.

Abstract: A method and apparatus for incremental quantile estimation is provided. A method for performing incremental quantile estimation using an estimated cumulative distribution function includes receiving a record, identifying an entity with which the received record is associated, determining a record type of the received record based at least in part on the entity with which the received record is associated, updating the estimated cumulative distribution function based on the record type of the received record, and storing the estimated cumulative distribution function. The record type of the received record is indicative of whether the received record is an insertion record, an update record, or a deletion record. The estimated cumulative distribution function may be used to respond to quantile query requests in real-time or near-real-time.

Abstract: Novel ?10 polypeptides and heterodimers thereof, and nucleic acid molecules encoding the same are disclosed. The invention also provides vectors, host cells, selective binding agents, and methods for producing ?10 polypeptides and heterodimeric forms thereof, specifically ?2/?10. Also provided for are methods for the treatment, diagnosis, amelioration, or prevention of diseases with ?10 polypeptides and ?2/?10 heterodimers or their respective binding agents.

Abstract: Methods and apparatuses are provided for detecting traffic patterns in a data network. A sequential hashing scheme can be utilized that has D hash arrays. Each hash array i, wherein 1?i?D, includes Mi independent hash tables each having K buckets, with each of the buckets having an associated traffic total. Each of the keys corresponds with a single bucket of each of the Mi independent hash tables of each hash array i. The keys of the data network are partitioned into D words. As traffic is received for a key, a traffic total of each bucket that corresponds with a key is updated. The hash arrays can then be utilized to identify high traffic buckets of the independent hash tables having a traffic total greater than a threshold value. The high traffic buckets can be used to detect significant traffic patterns of the data network.

Abstract: A method is provided for determining a bandwidth allocation needed to provide a specified QOS requirement that takes appropriate account of statistical variations for packet streams in a transmission link. In particular, a statistical model of the packet stream is formed using fractional sum difference statistical models and the model is evaluated in respect to synthetically generated traffic streams. The bandwidth allocation approach is specified in terms of the bandwidth, ?, required for a traffic load, ?, subject to the requirements of a maximum queuing delay, ?, and a packet loss limitation parameter, ?. Accordingly, that bandwidth allocation approach is implemented as a statistical model for ? as a function of ?, ? and ?.

Abstract: Multi-path routing techniques using intra-flow splitting are disclosed. For example, a technique for processing traffic flows at a node in a network comprises the following steps/operations. At least one traffic flow is obtained. The at least one traffic flow comprises multiple packets or bytes. The at least one flow is split into at least two sub-flows, wherein each of the at least two sub-flows comprises a portion of the multiple packets or bytes. The packets or bytes of the at least two sub-flows are respectively routed on at least two paths in the network.

Abstract: In one embodiment, a method of monitoring a network. The method includes: receiving, from each host of a set of two or more hosts of the network, a corresponding vector of M components constructed based on data packets received at the host during a time period, M being an integer greater than 1; and, based on the constructed vectors, using an expectation-maximization algorithm to estimate a cardinality distribution for the hosts in the set, wherein constructing a vector includes updating a component of the vector of the corresponding host in response to the corresponding host receiving a data packet, the updating including selecting the component for updating by hashing one or more fields of the data packet received by the corresponding host.

Abstract: An oxy-fuel burner that co-fires liquid fuel and gaseous fuel to create a more luminous flame. The characteristics of a liquid fuel spray and the gaseous fuel and primary oxidant gas flows, as well as the geometry of the burner is adapted to shroud the liquid fuel from the primary oxidant until it exits a precombustor and to prevent the liquid fuel from contacting the walls of the precombustor.

Abstract: In one embodiment, a method of monitoring a network. The method includes, at each node of a fixed set, constructing a corresponding vector of M components based on data packets received at the node during a time period, M being an integer greater than 1, the fixed set being formed of some nodes of the network; and, based on the constructed vectors, estimating how many of the received data packets have been received by all of the nodes of the set or estimating how many flows of the received data packets have data packets that have passed through all of the nodes of the set. The constructing includes updating a component of the vector of one of the nodes in response to the one of the nodes receiving a data packet. The updating includes selecting the component for updating by hashing a property of the data packet received by the one of the nodes.

Abstract: In one embodiment, a method of monitoring a network. The method includes, at each node of a set, constructing a corresponding vector of M components based on a stream of data packets received at the node during a time period, the set including a plurality of nodes of the network, M being greater than 1; and estimating a value of a byte traffic produced by a part of the packets based on the constructed vectors, the part being the packets received by every node of the set. The constructing includes updating a component of the vector corresponding to one of the nodes in response to the one of the nodes receiving a data packet. The updating includes selecting a component of the vector to be updated by hashing a property of the received data packet.

Abstract: Novel ?10 polypeptides and heterodimers thereof, and nucleic acid molecules encoding the same are disclosed. The invention also provides vectors, host cells, selective binding agents, and methods for producing ?10 polypeptides and heterodimeric forms thereof, specifically ?2/?10. Also provided for are methods for the treatment, diagnosis, amelioration, or prevention of diseases with ?10 polypeptides and ?2/?10 heterodimers or their respective binding agents.

Abstract: Methods and apparatuses are provided for detecting traffic patterns in a data network. A sequential hashing scheme can be utilized that has D hash arrays. Each hash array i, wherein 1?i?D, includes Mi independent hash tables each having K buckets, with each of the buckets having an associated traffic total. Each of the keys corresponds with a single bucket of each of the Mi independent hash tables of each hash array i. The keys of the data network are partitioned into D words. As traffic is received for a key, a traffic total of each bucket that corresponds with a key is updated. The hash arrays can then be utilized to identify high traffic buckets of the independent hash tables having a traffic total greater than a threshold value. The high traffic buckets can be used to detect significant traffic patterns of the data network.

Abstract: Novel ?10 polypeptides and heterodimers thereof, and nucleic acid molecules encoding the same are disclosed. The invention also provides vectors, host cells, selective binding agents, and methods for producing ?10 polypeptides and heterodimeric forms thereof, specifically ?2/?10. Also provided for are methods for the treatment, diagnosis, amelioration, or prevention of diseases with ?10 polypeptides and ?2/?10 heterodimers or their respective binding agents.

Abstract: Novel ?10 polypeptides and heterodimers thereof, and nucleic acid molecules encoding the same are disclosed. The invention also provides vectors, host cells, selective binding agents, and methods for producing ?10 polypeptides and heterodimeric forms thereof, specifically ?2/?10. Also provided for are methods for the treatment, diagnosis, amelioration, or prevention of diseases with ?10 polypeptides and ?2/?10 heterodimers or their respective binding agents.

Abstract: Novel ?10 polypeptides and heterodimers thereof, and nucleic acid molecules encoding the same are disclosed. The invention also provides vectors, host cells, selective binding agents, and methods for producing ?10 polypeptides and heterodimeric forms thereof, specifically ?2/?10. Also provided for are methods for the treatment, diagnosis, amelioration, or prevention of diseases with ?10 polypeptides and ?2/?10 heterodimers or their respective binding agents.

Abstract: Novel ?10 polypeptides and heterodimers thereof, and nucleic acid molecules encoding the same are disclosed. The invention also provides vectors, host cells, selective binding agents, and methods for producing ?10 polypeptides and heterodimeric forms thereof, specifically ?2/?10. Also provided for are methods for the treatment, diagnosis, amelioration, or prevention of diseases with ?10 polypeptides and ?2/?10 heterodimers or their respective binding agents.

Abstract: Burner assembly comprising (a) an elongated body having a periphery, a discharge end adjacent a combustion zone, and an axis, wherein the axis extends into the combustion zone; (b) one or more oxidant nozzles disposed at the discharge end of the elongated body and adapted to discharge a gaseous oxidant into the combustion zone; and (c) one or more fuel nozzles disposed at the discharge end of the elongated body and adapted to discharge a fuel into the combustion zone. At least one of the oxidant and fuel nozzles is characterized by a shape factor, ?, that is greater than about 10, wherein ? is a dimensionless parameter defined as ?=P2/2A where P is the perimeter dimension of the discharge opening and A is the area of the discharge opening.

Abstract: There is provided a system and method for estimating network tomography. More specifically, there is provided a computer system configured to measure the transmission delay along a path from a source endpoint of a computer network to a plurality of destination endpoints of the computer network, wherein the path includes at least two data links and wherein at least one of the data links is shared by the plurality of destination endpoints for transmissions from the source endpoint, to calculate a characteristic function of the measured transmission delay, and to calculate a performance parameter of one of the data links based on the characteristic function.

Abstract: Multi-path routing techniques using intra-flow splitting are disclosed. For example, a technique for processing traffic flows at a node in a network comprises the following steps/operations. At least one traffic flow is obtained. The at least one traffic flow comprises multiple packets or bytes. The at least one flow is split into at least two sub-flows, wherein each of the at least two sub-flows comprises a portion of the multiple packets or bytes. The packets or bytes of the at least two sub-flows are respectively routed on at least two paths in the network.

Abstract: A method is provided for determining a bandwidth allocation needed to provide a specified QOS requirement that takes appropriate account of statistical variations for packet streams in a transmission link. In particular, a statistical model of the packet stream is formed using fractional sum difference statistical models and the model is evaluated in respect to synthetically generated traffic streams. The bandwidth allocation approach is specified in terms of the bandwidth, &bgr;, required for a traffic load, &tgr;, subject to the requirements of a maximum queuing delay, &dgr;, and a packet loss limitation parameter, &ohgr;. Accordingly, that bandwidth allocation approach is implemented as a statistical model for &bgr; as a function of &tgr;, &dgr; and &ohgr;.