System and method for dynamic server allocation and provisioning

Abstract

A management tool that streamlines the server allocation and provisioning processes within a data center is provided. The system, method, and computer program product divide the server provisioning and allocation into two separate tasks. Provisioning a server is accomplished by generating a fully configured, bootable system image, complete with network address assignments, virtual LAN (VLAN) configuration, load balancing configuration, and the like. System images are stored in a storage repository and are accessible to more than one server. Allocation is accomplished using a switching mechanism which matches each server with an appropriate system image based upon current configuration or requirements of the data center. Thus, real-time provisioning and allocation of servers in the form of automated responses to changing conditions within the data center is possible. The ability to instantly re-provision servers, safely and securely switch under-utilized server capacity to more productive tasks, and improve server utilization is also provided.

Description

[0001] This application is a Continuation of U.S. application Ser. No. 10 / 290,171 filed Nov. 8, 2002. Application Ser. No. 10 / 290,171 is the non-provisional of Provisional Application No. 60 / 331,122 filed Nov. 8, 2001. The entirety of all of the above-listed Applications are incorporated herein by reference.BACKGROUND OF THE INVENTION [0002] 1. Field of the Invention [0003] The present invention relates generally to computer resource management systems and methods, and more particularly to systems and methods that provide dynamic, load-based allocation and provisioning of servers with data centers. [0004] 2. Related Art [0005] In today's computing environment, it is common for an entity (e.g., a corporation) to operate a data center to provide a variety of applications and services for its customer end users and internal operations. Such data centers typically include a collection of servers, storage elements (i.e., any device designed and built primarily for the purpose of persiste...

AI Technical Summary

Benefits of technology

"The present invention is a system, method, and computer program product for dynamic server allocation and provisioning. It allows for the efficient allocation and provisioning of servers in a data center, reducing capital and operational costs while improving server utilization. The system includes a storage element for storing server images, a load manager capable of assigning server images to servers, and server managers for powering on and off servers. The system also includes a server monitor for monitoring heartbeat and load measurements from servers and a control console for managing server images and performing administrative, reporting, and billing functions. The invention also facilitates detailed accounting and reporting, allows for guaranteed service level agreements, reduces operational risk, and improves infrastructure security."

Problems solved by technology

This is a time consuming, mostly manual operation that can take days to complete and fully verify for a large, complex application.

It is also a destructive process that requires irreversible changes to the server's disk drive such that any previous installation will be overwritten.

If the new installation fails, there may be no easy way to recover the previous working system.

The time, effort, expense and risk associated with provisioning servers make it infeasible to re-provision a server to meet short-term requirements.

This approach is useful in maintaining a common system image across a server pools, but does not facilitate rapid re-provisioning of servers because it consumes significant network bandwidth and is destructive of previous installations.

Re-provisioning a pool of servers can take several hours.

As mentioned above, because of the time, effort, expense and risk associated with provisioning servers, each server in the data center typically is statically allocated to a specific application.

Most of the time, however, an application does not experience peak demand and its servers run well below their capacity.

This wastes power and physical (i.e., rack) space, as well as increases administrative burden.

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