International Business Machines Corporation

Maplebear Inc.

Jorge J Ortiz

Dinesh C Verma

Swati Rallapalli

Theodoros Salonidis

Xiping Wang

Rahul Urgaonkar

Christian Makaya

Bong Jun Ko

Keith William Grueneberg

Bongjun Ko

Supriyo Chakraborty

Nirmit V Desai

Douglas Morgan Freimuth

Seraphin Bernard Calo

Erich Miles Nahum

Thai Franck Le

Dilip Dinkar Kandlur

Maroun Touma

David Alvra Wood, Iii

Geeth Ranmal De Mel

A method for targeted advertisement includes transmitting a pre-filter to the user device, responsive to contextual information from a user device, to determine, using a processor, one or more inferences based on physical browsing information, collected at the user device, in compliance with one or more privacy policies of the user. The method also includes receiving one or more inferences determined by the pre-filter from the user device and transmitting one or more targeted advertisements to the user device based on one or more inferences.

Recommendations based on private data using a dynamically deployed pre-filter

A data mining method, system, and non-transitory computer readable medium include obtaining a subset of public records of data in a public domain and performing data mining, via private domain data, within the subset of the public records of data to find data in the public domain corresponding to a particular individual.

System, method, and recording medium for data mining between private and public domains

A provenance method, system, and non-transitory computer readable medium for a plurality of eidetic systems having logs, include crawling the logs of each node of a plurality of nodes of the eidetic systems to cluster segments across the logs of temporally correlated events into clustered segments and analyzing the correlated segments to interleave an order of processes in the logs and assign a probability to the order of the processes occurring.

System, method, and recording medium for distributed probabilistic eidetic querying, rollback, and replay

A data mining method, system, and non-transitory computer readable medium, include defining a set of filter constraints as a filter function for clustering users' private records of data of a private domain, selecting a subset of users' public records of data from a filtered set of data from a public domain that is common with the users' private records of data, and creating a data file including the matched user of the private domain to the public records of the user of the private domain, where the set of the filter constraints comprises a function that captures the subset of the users' public records of data who are of interest to the private domain, and only performs data mining with that set of information from the public domain.

A computing system for learning a device type and message formats used by a device is provided. The computing system includes an interface and a processor. The interface is receptive of documents describing identification information and communication and application protocols of devices. The processor is coupled with the interface to obtain rules of network packet analysis using document analytics and identify identification information and communication and application protocols of network messages from devices using the rules.

Automatic protocol discovery using text analytics

A provenance method, system, and non-transitory computer readable medium for a plurality of eidetic systems having logs, include a log-segment clustering circuit configured to crawl the logs of each of the eidetic systems to cluster segments across the logs of temporally correlated events into clustered segments, a probabilistic interleaving circuit configured to analyze the correlated segments to interleave an order of processes in the logs and assign a probability to the order of the processes occurring, and a probabilistic linearization circuit configured to create a probability tree which includes a total probability that a process in the clustered segments causes a next process in the clustered segments until an end of the temporal event of the clustered segments for each of the interleaved order of processes interleaved by the probabilistic interleaving circuit.

Name based Internet of Things (IoT) discovery includes receiving domain name system (DNS) events. An Internet Protocol (IP) address to name mapping is built based on the DNS events. A data communication event occurring in a computer network is received. A destination IP address in the data communication event is mapped to a domain name by querying the IP address to name mapping. Whether the data communication event is associated with an IoT device is determined based on the domain name satisfying a rule.

Name based internet of things (IoT) data discovery

Methods and systems for targeted advertisement include transmitting a pre-filter to a user device, responsive to contextual information supplied by the user device to determine one or more inferences based on physical browsing information, collected at the user device, in compliance with one or more privacy policies of the user. One or more targeted advertisements are determined, using a processor, based on the one or more inferences. The one or more targeted advertisements are transmitted to the user device.

Techniques for monitoring and managing applications in an environment with distributed administrative domains (such as a micro-cloud environment) are provided. In one aspect, a method for managing an application in an environment with distributed administrative domains includes the steps of: identifying points in a life cycle of the application where communication is allowed between the distributed administrative domains; obtaining, by the provider, management specific information for the application at the points identified in the life cycle of the application where communication is allowed between the distributed administrative domains, wherein the obtaining is performed using a filtering script provided by the user and a management script provided by the provider to validate that the management specific information conforms to a predetermined information exchange criteria; and performing management functions using the management specific information.

Monitoring and management of software as a service in micro cloud environments

A data mining method, system, and non-transitory computer readable medium, include defining a set of filter constraints as a filter function for clustering users' private records of data of a private domain, obtaining a set of data from a public domain by applying the filter function to users' public records of data of the public domain, selecting a subset of the users' public records of data that is common with the users' private records of data, and performing data mining on the selected subset of the users' public records of data in combination with the users' private records of data to match a user of the private domain to public records of the user of the private domain.

Techniques for adaptive query targeting in a dynamic distributed computing environment are provided. In one aspect, a method for adaptive query targeting in a distributed computing system having two or more cooperating nodes is provided. The method includes the steps of: using a peer selection criteria to select one or more of the nodes as target peers for a query from a querying node; leasing the query to the target peers for a given length of time via a lease having a given lifetime; periodically refreshing the query during the lifetime of the lease by re-evaluating the peer selection criteria such that the query persists on one or more of the target peers for the lifetime of the lease; and having the query removed from the target peers when the lease expires.

Adaptive query targeting in a dynamic distributed environment

A method and system are provided. The method includes defining an application manifest that describes a computing solution for transfer from a cloud site to an on-premises computing appliance at a given premises. The computing solution is executable for a dataset resident at the given premises. The method further includes defining a characterization of a local premises environment in which the computing solution will be executed. The method also includes modifying the application manifest using the characterization of the local premises environment by at least one of adding, removing and modifying at least one component of the application manifest to provide a modified application manifest. The method additionally includes installing the computing solution in a computing appliance at the local premises environment according to the modified application manifest. The computing appliance is for executing the computing solution.

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New York, NY, United States of America

Jorge J Ortiz