Performance interference model for managing consolidated workloads in qos-aware clouds

A workload and performance technology, applied in electrical digital data processing, software simulation/interpretation/simulation, resource allocation, etc., to solve problems such as poor workload performance, dissatisfaction, and inefficient resource utilization

Active Publication Date: 2013-11-06
ACCENTURE GLOBAL SERVICES LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Existing tools use random provisioning with static rules, which can lead to poor workload performance (e.g., not meeting QoS guarantees for cloud consumer workloads), and / or inefficient resource utilization, and perform application analysis manually and resource adjustment
Furthermore, the consolidation of applications (e.g., workloads) of multiple cloud consumers introduces performance interference between colocated workloads, which significantly impacts the QoS of each consolidated user's application workload

Method used

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  • Performance interference model for managing consolidated workloads in qos-aware clouds
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  • Performance interference model for managing consolidated workloads in qos-aware clouds

Examples

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Embodiment Construction

[0029] The principles described here can be embodied in many different forms. However, not all of the described components are required, and certain implementations may include additional, different, or fewer components. Changes may be made to the arrangement and types of components without departing from the spirit or scope of the claims as set forth herein. In addition, different or fewer components can be provided.

[0030] figure 1 A workload analyzer and performance interference (WPPI) configuration 100 is shown, which includes a WPPI system 102. The WPPI system 102 includes a processor 104 coupled to a memory 106 that uses a communication interface 108 to communicate with various components in the WPPI configuration 100 via a network 110 (eg, the Internet). The workload WPPI system 102 uses the identified workload 112, the resource estimation analyzer 114, and the test suite of the impact matrix 116 to characterize the workload (118, 120), and to identify the best and sub...

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Abstract

The workload profiler and performance interference (WPPI) system uses a test suite of recognized workloads, a resource estimation profiler and influence matrix to characterize un-profiled workloads, and affiliation rules to identify optimal and sub-optimal workload assignments to achieve consumer Quality of Service (QoS) guarantees and / or provider revenue goals. The WPPI system uses a performance interference model to forecast the performance impact to workloads of various consolidation schemes usable to achieve cloud provider and / or cloud consumer goals, and uses the test suite of recognized workloads, the resource estimation profiler and influence matrix, affiliation rules, and performance interference model to perform off-line modeling to determine the initial assignment selections and consolidation strategy to use to deploy the workloads. The WPPI system uses an online consolidation algorithm, offline models, and online monitoring to determine virtual machine to physical host assignments responsive to real-time conditions to meet cloud provider and / or cloud consumer goals.

Description

Technical field [0001] This specification involves estimating and managing resource consumption through consumer computing workloads, as well as identifying and implementing workload consolidation and resource allocation strategies that improve workload performance. This specification also deals with improving user experience and increasing the revenue of cloud providers through efficient workload consolidation strategies. Background technique [0002] Cloud computing enables users to access large computing pools and storage resources when needed, reduces the management burden of merchants (eg, cloud consumers), and maintains information technology (IT) assets. The cloud provider uses virtualization technology (for example, ) Meet the workload submitted by consumers by merging workload and application resource allocation. Consolidation and allocation settings are usually static and rely on fixed rules, which usually do not consider the real-time resource usage characteristics o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/50G06F9/455H04L29/08H04L47/762H04L47/80
CPCH04L67/303H04L67/10G06F9/5072G06F9/5083G06F2209/5019H04L67/1001H04L43/20H04L41/147H04L47/83H04L43/062H04L43/08H04L43/0876H04L43/50G06F9/5027G06F9/5077H04L67/30H04L43/0882H04L47/762H04L47/805G06F9/4881G06F9/5011
Inventor 朱倩T·董
Owner ACCENTURE GLOBAL SERVICES LTD
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