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US20170357532A1

Systems and methods for scheduling of workload-aware jobs on multi-clouds

University of Texas System

Abstract

Disclosed are systems and methods for optimally provisioning tasks to machine instances. The machine instances can correspond to cloud providers and can be part of a multi-cloud. The machine instances can each have various resources available. The task can be received from a user including a job …

University
University of Texas System
Assignee
Board Of Regents, The University Of Texas System
Inventor
Seyed Ali Miraftabzadeh
Priority date
June 10, 2016
Filing date
June 12, 2017
Publication date
December 14, 2017
Language
en
Metadata fetched
August 29, 2026 00:24