公开(公告)号：US09026560B2

公开(公告)日：2015-05-05

申请号：US13234264

申请日：2011-09-16

Applicant: Sumit Rangwala ,  Debojyoti Dutta ,  Raja Rao Tadimeti ,  Subrata Banerjee ,  Yuanbo Zhu

Inventor： Sumit Rangwala ,  Debojyoti Dutta ,  Raja Rao Tadimeti ,  Subrata Banerjee ,  Yuanbo Zhu

IPC: G06F17/30 ,  G06F1/32

CPC classification number: G06F17/30598 ,  G06F17/30489 ,  G06F17/30876 ,  G06F2209/503 ,  H04L67/10

Abstract: A method for summarizing capabilities in a hierarchically arranged data center includes receiving capabilities information, wherein the capabilities information is representative of capabilities of respective nodes at a first hierarchical level in the hierarchically arranged data center, clustering nodes based on groups of capabilities information, generating a histogram that represents individual node clusters, and sending the histogram to a next higher level in the hierarchically arranged data center. Relative rankings of capabilities may be used to order a sequence of clustering operations.

Abstract translation: 用于总结分层布置的数据中心中的能力的方法包括接收能力信息，其中能力信息代表在分层布置的数据中心中的第一层级的各个节点的能力，基于能力信息组的聚类节点，生成 直方图表示各个节点簇，并将直方图发送到分层排列的数据中心中的下一个较高级别。 功能的相对排名可用于对一系列聚类操作进行排序。

公开(公告)号：US08924392B2

公开(公告)日：2014-12-30

申请号：US13113141

申请日：2011-05-23

Applicant: Debojyoti Dutta ,  Subrata Banerjee ,  Ethan M. Spiegel ,  Arpan K. Ghosh

Inventor： Debojyoti Dutta ,  Subrata Banerjee ,  Ethan M. Spiegel ,  Arpan K. Ghosh

IPC: G06F17/30 ,  H04L29/08

CPC classification number: H04L67/1097 ,  H04L67/10

Abstract: Data representing capabilities of devices in a data is aggregated on a cluster-basis. Information representing capability attributes of devices in the data center is received. The information representing the capability attributes is analyzed to generate data that groups devices based on similarity of at least one capability attribute. Aggregation data is stored that represents the grouping of the devices based on similarity of the at least one capability attribute and identifies the devices in corresponding groups.

Abstract translation: 数据表示数据中设备的能力的数据以集群为基础进行聚合。 接收表示数据中心设备能力属性的信息。 分析表示能力属性的信息，以生成基于至少一个能力属性的相似性对设备进行分组的数据。 存储表示基于至少一个能力属性的相似性的设备的分组的聚合数据，并且识别相应组中的设备。

公开(公告)号：US08489463B2

公开(公告)日：2013-07-16

申请号：US12908794

申请日：2010-10-20

Applicant: Mainak Sen ,  Debojyoti Dutta ,  Nagarajan Duraisamy

Inventor： Mainak Sen ,  Debojyoti Dutta ,  Nagarajan Duraisamy

IPC: G06Q30/00

CPC classification number: G06Q30/08 ,  H04L67/12

Abstract: In one embodiment, a method includes accessing first information identifying a sensor-data set that includes sensor-data from multiple sensor-data streams from multiple sensors over a period of time, with the sensor data from the sensor-data streams having been combined with each other based on a relationship of the sensor data to a sensor subject; accessing second information identifying one or more offers to purchase the sensor-data set; and matching one of the offers with the sensor-data set to facilitate a purchase of the sensor-data set based at least on the one of the offers matched to the sensor-data set.

Abstract translation: 在一个实施例中，一种方法包括访问在一段时间内从多个传感器的多个传感器数据流中识别包括传感器数据的传感器数据集的第一信息，其中来自传感器数据流的传感器数据已经与 基于传感器数据与传感器对象的关系; 访问识别一个或多个提供以购买传感器数据集的第二信息; 以及将所述优惠中的一个与所述传感器数据集匹配，以便于至少基于与所述传感器数据集匹配的所述提供中的一个提供购买所述传感器数据集。

公开(公告)号：US20130073552A1

公开(公告)日：2013-03-21

申请号：US13234264

申请日：2011-09-16

Applicant: Sumit Rangwala ,  Debojyoti Dutta ,  Raja Rao Tadimeti ,  Subrata Banerjee ,  Yuanbo Zhu

Inventor： Sumit Rangwala ,  Debojyoti Dutta ,  Raja Rao Tadimeti ,  Subrata Banerjee ,  Yuanbo Zhu

IPC: G06F17/30

CPC classification number: G06F17/30598 ,  G06F17/30489 ,  G06F17/30876 ,  G06F2209/503 ,  H04L67/10

Abstract: A method for summarizing capabilities in a hierarchically arranged data center includes receiving capabilities information, wherein the capabilities information is representative of capabilities of respective nodes at a first hierarchical level in the hierarchically arranged data center, clustering nodes based on groups of capabilities information, generating a histogram that represents individual node clusters, and sending the histogram to a next higher level in the hierarchically arranged data center. Relative rankings of capabilities may be used to order a sequence of clustering operations.

公开(公告)号：US20120101912A1

公开(公告)日：2012-04-26

申请号：US12908794

申请日：2010-10-20

Applicant: Mainak Sen ,  Debojyoti Dutta ,  Nagarajan Duraisamy

Inventor： Mainak Sen ,  Debojyoti Dutta ,  Nagarajan Duraisamy

IPC: G06Q30/00

CPC classification number: G06Q30/08 ,  H04L67/12

Abstract: In one embodiment, a method includes accessing first information identifying a sensor-data set that includes sensor-data from multiple sensor-data streams from multiple sensors over a period of time, with the sensor data from the sensor-data streams having been combined with each other based on a relationship of the sensor data to a sensor subject; accessing second information identifying one or more offers to purchase the sensor-data set; and matching one of the offers with the sensor-data set to facilitate a purchase of the sensor-data set based at least on the one of the offers matched to the sensor-data set.

Abstract translation: 在一个实施例中，一种方法包括访问在一段时间内从多个传感器的多个传感器数据流中识别包括传感器数据的传感器数据集的第一信息，其中来自传感器数据流的传感器数据已经与 基于传感器数据与传感器对象的关系; 访问识别一个或多个提供以购买传感器数据集的第二信息; 以及将所述优惠中的一个与所述传感器数据集匹配，以便于至少基于与所述传感器数据集匹配的所述提供中的一个提供购买所述传感器数据集。

公开(公告)号：US20120026890A1

公开(公告)日：2012-02-02

申请号：US12847963

申请日：2010-07-30

Applicant: Tarun Banka ,  Debojyoti Dutta ,  Mainak Sen ,  Nagarajan Duraisamy ,  Manoj Kumar Pandey

Inventor： Tarun Banka ,  Debojyoti Dutta ,  Mainak Sen ,  Nagarajan Duraisamy ,  Manoj Kumar Pandey

IPC: H04L12/26

CPC classification number: H04L67/125 ,  H04L41/064 ,  H04L41/069

Abstract: In one embodiment, a method includes generating a set of statistics concerning a sensor node in a sensor network based on one or more of sensor data from a sensor at the sensor node, communication to the sensor node from one or more other sensor nodes in the sensor network, or communication from the sensor node; determining based on a subset of the set of statistics whether a predetermined anomalous event correlated with the subset has occurred; and, if the predetermined anomalous event has occurred, generating a summary of the subset and communicating it to a police node in the sensor network.

Abstract translation: 在一个实施例中，一种方法包括基于来自传感器节点处的传感器的传感器数据中的一个或多个生成关于传感器网络中的传感器节点的一组统计信息，从传感器节点中的一个或多个其他传感器节点到传感器节点的通信 传感器网络或来自传感器节点的通信; 基于所述一组统计的子集确定是否发生了与所述子集相关联的预定异常事件; 并且如果发生了预定的异常事件，则生成子集的摘要并将其传送到传感器网络中的警察节点。

公开(公告)号：US09225793B2

公开(公告)日：2015-12-29

申请号：US13016938

申请日：2011-01-28

Applicant: Debojyoti Dutta ,  Mainak Sen ,  Manoj Kumar Pandey ,  Tarun Banka ,  Raja Suresh Krishna Balakrishnan

Inventor： Debojyoti Dutta ,  Mainak Sen ,  Manoj Kumar Pandey ,  Tarun Banka ,  Raja Suresh Krishna Balakrishnan

IPC: G06F7/00 ,  G06F17/30 ,  H04L29/08

CPC classification number: H04L67/2804 ,  H04L67/12 ,  H04L67/2823

Abstract: In particular embodiments, a method includes accessing sensor data from sensor nodes in a sensor network and aggregating the sensor data for communication to an indexer in the sensor network. The aggregation of the sensor data includes deduplicating the sensor data; validating the sensor data; formatting the sensor; generating metadata for the sensor data; and time-stamping the sensor data. The metadata identifies one or more pre-determined attributes of the sensor data. The method also includes communicating the aggregated sensor data to the indexer in the sensor network. The indexer is configured to index the aggregated sensor data according to a multi-dimensional array for querying of the aggregated sensor data along with other aggregated sensor data. One or more first ones of the dimensions of the multi-dimensional array include time and one or more second ones of the dimensions of the multi-dimensional include one or more of the pre-determined sensor-data attributes.

Abstract translation: 在特定实施例中，一种方法包括从传感器网络中的传感器节点访问传感器数据，并将传感器数据聚合以用于传感器网络中的分度器。 传感器数据的聚合包括对传感器数据进行重复数据删除; 验证传感器数据; 格式化传感器; 生成传感器数据的元数据; 并对传感器数据进行时间戳。 元数据识别传感器数据的一个或多个预定属性。 该方法还包括将聚合的传感器数据传送到传感器网络中的分度器。 索引器被配置为根据用于查询聚合的传感器数据的多维阵列以及其他聚合的传感器数据来索引聚合的传感器数据。 多维阵列的维度中的一个或多个第一个尺寸包括时间，并且多维尺寸中的一个或多个第二维包括预定传感器数据属性中的一个或多个。

公开(公告)号：US20140059178A1

公开(公告)日：2014-02-27

申请号：US13591107

申请日：2012-08-21

Applicant: Debojyoti DUTTA ,  Senhua HUANG ,  Raja TADIMETI ,  Subrata BANERJEE

Inventor： Debojyoti DUTTA ,  Senhua HUANG ,  Raja TADIMETI ,  Subrata BANERJEE

IPC: G06F15/16

CPC classification number: H04L41/145 ,  H04L41/0823 ,  H04L41/0883

Abstract: In one embodiment, a method comprises retrieving a request graph specifying request nodes identifying respective requested cloud computing service operations, and at least one request edge specifying a requested path requirements connecting the request nodes; identifying a placement pivot among feasible cloud elements identified in a physical graph representing a data network having a physical topology, each feasible cloud element an available solution for one of the request nodes, the placement pivot having a maximum depth in the physical topology relative to the feasible cloud elements; ordering the feasible cloud elements, according to increasing distance from the placement pivot to form an ordered list of candidate sets of feasible cloud elements; and determining an optimum candidate set, from at least a portion of the ordered list, based on the optimum candidate set having an optimized fitness function in the physical graph among the other candidate sets in the ordered list.

Abstract translation: 在一个实施例中，一种方法包括检索指定请求节点的请求图，所述请求图识别相应的所请求的云计算服务操作，以及至少一个请求边缘，其指定连接所述请求节点的请求的路径要求; 识别在表示具有物理拓扑的数据网络的物理图中识别的可行云元素之间的放置枢轴，每个可行云元素是所述请求节点之一的可用解决方案，所述放置枢轴在所述物理拓扑中具有相对于所述物理拓扑的最大深度 可行的云元素; 根据从放置枢轴的距离的增加来排序可行的云元素，以形成可行云元素候选集的有序列表; 以及从所述有序列表的至少一部分基于在所述有序列表中的所述其他候选集中的所述物理图中具有优化的适应度函数的最佳候选组来确定最佳候选集。

公开(公告)号：US08638680B2

公开(公告)日：2014-01-28

申请号：US12847995

申请日：2010-07-30

Applicant: Mainak Sen ,  Debojyoti Dutta ,  Nagarajan Duraisamy ,  Manoj Kumar Pandey ,  Tarun Banka

Inventor： Mainak Sen ,  Debojyoti Dutta ,  Nagarajan Duraisamy ,  Manoj Kumar Pandey ,  Tarun Banka

IPC: H04L12/26

CPC classification number: H04L43/065 ,  H04L43/04 ,  H04L43/067 ,  H04L43/08 ,  H04L43/0876 ,  H04W4/38 ,  Y04S40/168

Abstract: In one embodiment, a method includes receiving a summary of statistics concerning a sensor node in a sensor network that comprises a plurality of sensor nodes, the statistics having been generated based on one or more of sensor data from a sensor at the sensor node, communication to the sensor node from one or more other sensor nodes in the sensor network, or communication from the sensor node; analyzing the summary; and applying based on the analysis one or more predetermined polices to one or more of the sensor nodes or the sensor network.

Abstract translation: 在一个实施例中，一种方法包括接收关于包括多个传感器节点的传感器网络中的传感器节点的统计概要，所述统计信息是基于来自传感器节点处的传感器的传感器数据中的一个或多个生成的，通信 传感器网络中的一个或多个其他传感器节点的传感器节点或来自传感器节点的通信; 分析总结; 以及基于所述分析将一个或多个预定策略应用于所述传感器节点或所述传感器网络中的一个或多个。

公开(公告)号：US20130290536A1

公开(公告)日：2013-10-31

申请号：US13455828

申请日：2012-04-25

Applicant: Debojyoti Dutta ,  Subrata Banerjee

Inventor： Debojyoti Dutta ,  Subrata Banerjee

IPC: G06F15/173

CPC classification number: G06F9/5027 ,  G06F2209/502

Abstract: In one embodiment, an n-dimensional resource vector for each of a plurality of resources in a computer network is determined, each n-dimensional resource vector having n property values for a corresponding resource of the plurality of resources. Upon receiving a request for one or more resources of the plurality of resources, where the request indicates one or more desired property values, the techniques convert the desired property values of the request into an n-dimensional request vector, determine a distance between each resource vector and the request vector, and provide a response to the request, the response indicating one or more closest match resources for the request based on the distances.

Abstract translation: 在一个实施例中，确定计算机网络中的多个资源中的每一个的n维资源向量，每个n维资源向量具有用于多个资源的相应资源的n个属性值。 在接收到对于多个资源中的一个或多个资源的请求（其中请求指示一个或多个期望属性值）时，该技术将请求的期望属性值转换为n维请求向量，确定每个资源之间的距离 向量和请求向量，并且向请求提供响应，响应指示基于距离的请求的一个或多个最近匹配资源。