Utility computing brings resource allocation, measurement, and service delivery together. These nine resources explain the computing models, help plan and evaluate infrastructure, and examine the architectural ideas behind early enterprise services.
Understand computing models

Explanation and practical guidance
On-Demand Computing: Capacity, Scaling, and Usage-Based Billing
Understand what you rent, estimate a workload, and track the resources that keep accruing charges after the work ends.

Explanation and practical guidance
Grid Computing Explained: Jobs, Schedulers, and Data Movement
Understand distributed batch work, estimate its limits, and prepare jobs that can be retried and verified.
Plan and evaluate infrastructure

Explanation and practical guidance
Utility Storage Management: Capacity, Recovery, and Cost Allocation
Build a storage-service inventory, distinguish allocated and consumed capacity, and plan headroom and recovery checks.

Explanation and practical guidance
Flexible Computing: Plan a Workload Pilot Before Expanding
Use demand, dependencies, service targets, and recovery tests to decide where resource pooling and automation will help.

Explanation and practical guidance
Enterprise Grid Computing: Oracle, Clustering, and Shared Resources
Interpret Oracle’s enterprise-grid architecture and distinguish database instances, shared storage, management, and workload requirements.

Explanation and practical guidance
Utility Computing Research: Evaluate Evidence and Vendor Claims
Assess forecasts, benchmarks, savings claims, and research methods with a reproducible evidence worksheet.
IBM services and HP architectural history

IBM service planning
IBM Virtual Server Services: Architecture, Compatibility, and Planning
Distinguish IBM virtual-server offerings and assemble the compatibility, recovery, and service-responsibility evidence for a workload.

Historical case study
HP Utility Data Center and Opsware: Lessons in Provisioning
A sourced retrospective on resource allocation, software automation, and the evidence needed to assess an integrated data-center service.

Historical case study
HP and Cisco Utility Computing: Network Coordination Lessons
Understand the 2003 collaboration and use its architectural questions to examine connectivity, isolation, and interoperability.