Datacenter Execution Templates for Dynamic Service Optimization

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Solution Overview

Problem

The increasing complexity of datacenters has outgrown traditional Service Level Agreements (SLAs), which are static and unable to optimize resources or adapt to dynamic conditions, leading to suboptimal performance and inefficient resource utilization.

Innovation Solution

The use of datacenter execution templates that allow developers and business managers to select and modify declarative templates considering multiple factors such as latency, throughput, energy consumption, and legal impacts, enabling automated provisioning and dynamic optimization of services across network resources.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If traditional Service Level Agreements (SLAs) are used to manage datacenter resources, then contractual arrangements are simple and easy to understand, but the system cannot optimize resources or adapt to dynamic conditions, leading to suboptimal performance

Engineering Contradiction:

Improveability to adapt to dynamic conditionsVSAvoidcomplexity of the datacenter environment

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent transforms static SLAs into dynamic execution templates that can adapt to changing conditions. The system continuously monitors datacenter state and automatically adjusts service provisioning parameters, enabling the system to respond to dynamic conditions while maintaining manageable complexity through automated control mechanisms.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The execution templates incorporate multiple adjustable parameters including latency thresholds, throughput requirements, energy consumption limits, and cost constraints. By allowing dynamic modification of these parameters based on real-time conditions, the system achieves adaptability without requiring complete redesign of the contractual framework.

Inventive Principle:

Principle #35Parameter changes

2Adaptability or versatility

If services are deployed to particular pieces of hardware in a particular datacenter, then deployment control is precise and predictable, but changes to builds and deployments require considerable effort and cost

Engineering Contradiction:

Improveflexibility of service deploymentVSAvoideffort and cost of deployment changes

Core Design Contradiction:

Adaptability or versatilityVSEase of manufacture

Solution Approach 1:

The execution templates serve as universal deployment specifications that can be applied across multiple datacenters and hardware configurations. A single template can provision services on different hardware platforms by adjusting parameters, eliminating the need for separate deployment processes for each location and reducing the effort required for deployment changes.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system pre-configures execution templates with all necessary provisioning parameters, constraints, and optimization goals before deployment. This preliminary preparation allows services to be rapidly deployed and reconfigured by simply changing template parameters rather than redesigning deployments, significantly reducing the effort and cost of deployment changes.

Inventive Principle:

Principle #10Preliminary action

3Productivity

If the coarse nature of traditional SLA is maintained, then contractual arrangements are simple to manage, but optimization of existing resources and presentation of new operational boundaries is prevented

Engineering Contradiction:

Improveoptimization of datacenter resourcesVSAvoidgranularity of resource management

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent segments datacenter resources into fine-grained units that can be independently managed and optimized through execution templates. Instead of treating entire datacenters or large resource pools as single units, the system divides resources into smaller allocatable units with specific performance characteristics, enabling precise optimization while maintaining manageable complexity through modular template structures.

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS8856333B2Datacenter execution templates

Publication Date: 2014.10.07 MICROSOFT TECHNOLOGY LICENSING LLC

AI summary

Deployment and execution of a service in a multiple datacenter environment may be facilitated using datacenter execution templates. Developers, business managers, and other interested parties may select and/or modify a declarative execution template embodying multiple factors. The execution template may then be used to generate an execution plan, which is then executed by datacenters which run the service. The execution template may be optimized after deployment of the service, allowing for ongoing adjustment in response to changing business, regulatory, and operational factors.