PRO+ Premium Content/Storage

Thank you for joining!
Access your Pro+ Content below.
Vol. 4 No. 8 October 2005

Better capacity forecasting

Just-in-time manufacturers like Dell Inc. know what they need when they need it. This lets the company carry a smaller inventory, lower costs and still meet demand for its products. Many manufacturers have moved to streamline their forecasting processes to better anticipate and plan for customer demand. Storage managers can realize similar benefits and avoid overbuying storage by developing a forecasting methodology and creating the metrics to track it. There are two basic approaches to forecasting: quantitative and qualitative. With storage resource forecasting, it's good practice to use both methods. In quantitative forecasting, statistical analysis is used to analyze historical resource consumption to provide a basis for determining future resource needs. Quantitative analysis provides a predicted growth rate for storage resource consumption and gives some insight into seasonal peaks that may occur, such as yearly application rollouts or semi-annual migrations to data warehouses. The chief drawback of using only quantitative ...

Access this PRO+ Content for Free!

Features in this issue

  • Hidden threats to data

    Inadequacies in storage governance and weaknesses in data management may pose far less-visible risks to a company's data. To mitigate these threats, you must be aware of the impact and probability of these risks to reduce or eliminate them.

  • Safer SATA for nearline apps

    New SATA drivers tailored for nearline apps

  • Keep remote offices in sync

    With regulatory compliance, data protection requirements and the need to share data, remote office data can no longer be ignored. Wide-area file system products can rein in and protect remote data.

  • Will your disaster recovery plan work?

    No matter how many checklists a company creates, the number of disaster scenarios it considers or even how assiduously it backs up data, managers can't be confident in their firm's ability to recover data unless the systems have been tested thoroughly.

  • Better capacity forecasting

    There are two methods for devising storage capacity forecasts: quantitative and qualitative. By combining the two, you can develop practical metrics that will make more accurate forecasts.

  • Data grids for storage

    Data grids are used by the scientific community to access data resources around the world. Companies can use the principles underlying these global grids to link geographically dispersed sites.

Columns in this issue