METHOD AND APPARATUS FOR DYNAMICALLY PREDICTING WORKLOAD GROWTH BASED ON HEURISTIC DATA

• US 20140351421A1
• Filed: 05/27/2014
• Published: 11/27/2014
• Est. Priority Date: 05/24/2013
• Status: Abandoned Application

• Current Assignee: Connectloud, Inc.
• Original Assignee: Connectloud, Inc.
• Inventors: Madani, Habib, Siddiqui, Sameer, Azizullah, Faisal, Ashraf, Adnan
• Application Number:
  US14/287,210
• Publication Number:
  US 20140351421A1
• Time in Patent Office: Days
• US Class Current: 709/224
• CPC Class Codes: G06Q 10/00 Administration; Management
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202
• CPC Class Codes: H04L 41/145 involving simulating, designing, planning or modelling of a network
• CPC Class Codes: H04L 41/40 using virtualisation of network functions or resources, e.g. SDN or NFV entities
• CPC Class Codes: H04L 41/5096 wherein the managed service relates to distributed or central networked applications
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46

Abstract

Method and system for elastic computing includes the steps of presenting an interface for user entry of a threshold upper limit for compute pool consumption, a threshold lower limit for compute pool consumption, and a threshold time for the out of range condition. The policy engine of the controller node monitors consumption and expands or shrinks the compute pool.

Claims

1. A method, comprising:

capture of current workload utilization;

forming a determination of optimum compute workload; and

using time based heuristic analytics to find optimum compute workload

2. An apparatus,

comprising:

workload

capture utility;

and a utility for optimum workload computation based on heuristic analytics