International Business Machines Corporation

Sreedhar B Kodali

Xiaoqiao Meng

Ankur Gupta

Timothy P Ellison

Sivasakthi Thirugnanapandi

Neil G M Richards

Daniel Noel Millwood

Sandeep Raghav

Srinivasa B Vadlamudi

Tirumala Mannaru

Aditya V Bugadi

Samir M Kamerkar

In an approach for managing network sockets, a computer receives a request to create a network socket to transfer data. The computer identifies information associated with the received request, including one or more of: a default network protocol, one or more supported network protocols, ahead of time initialization, a data transfer policy, a failure policy, and a security policy. The computer creates a second level hash map based on the identified information, wherein the second level hash map includes the supported network socket protocols and a connection state. The computer determines a network protocol to utilize associated with the received request. The computer establishes a connection for the network socket over the determined network protocol.

Managing network sockets

Embodiments define a secure code hint generator that determine an occurrence of security word text content within electronic message body text that is descriptive of a security token required to open a secured file referenced by the message. The embodiments distinguish a security phrase subset words of the body text content from a remainder of an entirety of the body text content that include the security word content as a function of determining that the security phrase is more related to describing the security token; generate hint text content that differs from the security phrase and is chosen to reveal the security phrase text content to a user as a function of knowledge of user profile data; and associate the hint to the secured file for display to the user in response to a request for access to the secured file.

Autonomous hint generator

Embodiments relate to information technology resource management and scaling. According to one aspect, an upcoming event impacting an application operating on one or more resources is identified. A workload on the application is predicted based on the upcoming event identified and historical data about a previous event having similarity with the upcoming event. The prediction is performed using a predefined rule. A number of resources required to process the predicted workload is ascertained using a past scaling history of the application. The resources are scaled based on the ascertained number of said resources determined before the occurrence of the event.

Information technology resource management

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Bengaluru, India

Sreedhar B Kodali