International Business Machines Corporation

Yang Zhou

Anca Sailer

Thomas E Chefalas

Frank Andre Schaffa

Jim Alain Laredo

Alla Segal

Rahul P Akolkar

Chang-Shing Perng

Ignacio Silva-Lepe

Tao Tao

Yexi Jiang

Sangeetha Seshadri

Lawrence Yiumchee Chiu

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.

Complex service network ranking and clustering

Methods and arrangements for selecting a migration decision window for hotspots in a multi-tier enterprise storage system. Aspects include collecting usage statistics for data stored in the multi-tier enterprise storage system, identifying hotspots from data stored in the multi-tier enterprise storage system based on the usage statistics, and determining one or more characteristics of the identified hotspots. Aspects further include calculating an average lifespan of the identified hotspots based on the one or more characteristics of the identified hotspots and selecting the migration decision window based on the average lifespan of the identified hotspots and the one or more characteristics of the identified hotspots.

Migration decision window selection based on hotspot characteristics

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.

Interactive acquisition of remote services

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Atlanta, GA, United States of America

Yang Zhou