Patents by Inventor Yexi Jiang
Yexi Jiang has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
-
Patent number: 10210558Abstract: Offline functionality-based co-ranking and clustering is carried out on a knowledge base that characterizes a heterogeneous information technology services network including a plurality of services, a plurality of providers, and a plurality of attributes. Results of the functionality-based co-ranking and clustering are stored as annotations of the services and the providers in the knowledge base, to obtain an annotated knowledge base. A service requirement is obtained from a customer requiring information technology services. The annotated knowledge base is queried, based on the service requirement; and an ordered list of at least given ones of the services, based on the querying, is returned to the customer.Type: GrantFiled: February 17, 2017Date of Patent: February 19, 2019Assignee: International Business Machines CorporationInventors: Rahul P. Akolkar, Thomas E. Chefalas, Yexi Jiang, Jim A. Laredo, Chang-Shing Perng, Anca Sailer, Frank A. Schaffa, Alla Segal, Ignacio Silva-Lepe, Tao Tao, Yang Zhou
-
Publication number: 20170161815Abstract: Offline functionality-based co-ranking and clustering is carried out on a knowledge base that characterizes a heterogeneous information technology services network including a plurality of services, a plurality of providers, and a plurality of attributes. Results of the functionality-based co-ranking and clustering are stored as annotations of the services and the providers in the knowledge base, to obtain an annotated knowledge base. A service requirement is obtained from a customer requiring information technology services. The annotated knowledge base is queried, based on the service requirement; and an ordered list of at least given ones of the services, based on the querying, is returned to the customer.Type: ApplicationFiled: February 17, 2017Publication date: June 8, 2017Inventors: Rahul P. Akolkar, Thomas E. Chefalas, Yexi Jiang, Jim A. Laredo, Chang-Shing Perng, Anca Sailer, Frank A. Schaffa, Alla Segal, Ignacio Silva-Lepe, Tao Tao, Yang Zhou
-
Patent number: 9576048Abstract: Offline functionality-based co-ranking and clustering is carried out on a knowledge base that characterizes a heterogeneous information technology services network including a plurality of services, a plurality of providers, and a plurality of attributes. Results of the functionality-based co-ranking and clustering are stored as annotations of the services and the providers in the knowledge base, to obtain an annotated knowledge base. A service requirement is obtained from a customer requiring information technology services. The annotated knowledge base is queried, based on the service requirement; and an ordered list of at least given ones of the services, based on the querying, is returned to the customer.Type: GrantFiled: June 26, 2014Date of Patent: February 21, 2017Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Rahul P. Akolkar, Thomas E. Chefalas, Yexi Jiang, Jim A. Laredo, Chang-Shing Perng, Anca Sailer, Frank A. Schaffa, Alla Segal, Ignacio Silva-Lepe, Tao Tao, Yang Zhou
-
Publication number: 20150379121Abstract: Offline functionality-based co-ranking and clustering is carried out on a knowledge base that characterizes a heterogeneous information technology services network including a plurality of services, a plurality of providers, and a plurality of attributes. Results of the functionality-based co-ranking and clustering are stored as annotations of the services and the providers in the knowledge base, to obtain an annotated knowledge base. A service requirement is obtained from a customer requiring information technology services. The annotated knowledge base is queried, based on the service requirement; and an ordered list of at least given ones of the services, based on the querying, is returned to the customer.Type: ApplicationFiled: June 26, 2014Publication date: December 31, 2015Inventors: Rahul P. Akolkar, Thomas E. Chefalas, Yexi Jiang, Jim A. Laredo, Chang-Shing Perng, Anca Sailer, Frank A. Schaffa, Alla Segal, Ignacio Silva-Lepe, Tao Tao, Yang Zhou
-
Patent number: 9122745Abstract: A natural language specification of at least one high level information technology services requirement is obtained from a user, via a conversational interface; the same is parsed into first pre-defined semi-structured data, using a conversation parser. Based on the first pre-defined semi-structured data, a subset of candidate information technology services is identified, with a dialog engine, from a plurality of candidate information technology services provided by a plurality of vendors, the dialog engine is used to formulate a response including second pre-defined semi-structured data. The response is reverse-parsed into a natural language response, using the conversation parser. The natural language response includes a question for the user to assist in further refining the subset of candidate information technology services; the natural language response is presented to the user via the conversational interface.Type: GrantFiled: May 9, 2013Date of Patent: September 1, 2015Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Rahul P. Akolkar, Thomas E. Chefalas, Yexi Jiang, Jim A. Laredo, Chang-Shing Perng, Anca Sailer, Frank A. Schaffa, Alla Segal, Ignacio Silva-Lepe, Tao Tao, Yang Zhou
-
Publication number: 20140337010Abstract: A natural language specification of at least one high level information technology services requirement is obtained from a user, via a conversational interface; the same is parsed into first pre-defined semi-structured data, using a conversation parser. Based on the first pre-defined semi-structured data, a subset of candidate information technology services is identified, with a dialog engine, from a plurality of candidate information technology services provided by a plurality of vendors, the dialog engine is used to formulate a response including second pre-defined semi-structured data. The response is reverse-parsed into a natural language response, using the conversation parser. The natural language response includes a question for the user to assist in further refining the subset of candidate information technology services; the natural language response is presented to the user via the conversational interface.Type: ApplicationFiled: May 9, 2013Publication date: November 13, 2014Applicant: International Business Machines CorporationInventors: Rahul P. Akolkar, Thomas E. Chefalas, Yexi Jiang, Jim A. Laredo, Chang-Shing Perng, Anca Sailer, Frank A. Schaffa, Alla Segal, Ignacio Silva-Lepe, Tao Tao, Yang Zhou
-
Patent number: 8826277Abstract: High level characteristics are extracted from a virtual machine provisioning request stream for a cloud computing environment. A plurality of prediction models are generated for a plurality of different types of virtual machines. A regression-correlation ensemble is applied to appropriate ones of the prediction models to predict future virtual machine demand for the cloud computing environment.Type: GrantFiled: November 29, 2011Date of Patent: September 2, 2014Assignee: International Business Machines CorporationInventors: Rong N. Chang, Mihwa Choi, Yexi Jiang, Meir Laker, Chang-Shing Perng, Hidayatullah H. Shaikh, Edward C. So, Tao Tao
-
Publication number: 20130139152Abstract: High level characteristics are extracted from a virtual machine provisioning request stream for a cloud computing environment. A plurality of prediction models are generated for a plurality of different types of virtual machines. A regression-correlation ensemble is applied to appropriate ones of the prediction models to predict future virtual machine demand for the cloud computing environment.Type: ApplicationFiled: November 29, 2011Publication date: May 30, 2013Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Rong N. Chang, Mihwa Choi, Yexi Jiang, Meir Laker, Chang-Shing Perng, Hidayatullah H. Shaikh, Edward C. So, Tao Tao