Photos of Larryblakeley
(Contact Info: larry at larryblakeley dot com)
Important Note: You will need to click this icon to download the free needed to view most of the images on this Web site - just a couple of clicks and you're "good to go."
I manage this Web site and the following Web sites: Leslie (Blakeley) Adkins - my oldest daughter
Lori Ann Blakeley (June 20, 1985 - May 4, 2005) - my middle daughter
Evan Blakeley- my youngest child
Given the long lead time to put an entire platform solution together, enterprise platform architects must be able to predict the intersection of evolving usage models, deployment models, and platform technology trends in order to meet platform requirements several years into the future. Platform architects and technologists are generally very familiar and comfortable with predicting platform technology trends but the same is not true for deployment and usage models. Hence, we find that most platform architecture development is primarily incremental and evolutionary until one comes up against a wall of some sort along one or more of the vectors. Being able to articulate the intersection upfront has the advantage of influencing all three vectors, thus resulting in an optimum solution. Due to this potential for inter-dependency, the process for developing the intersection is inevitably iterative and complex. In this paper we concentrate primarily on the two vectors that are least understood by platform architects: usage and deployment models. We present a list of key solutions being adopted in different vertical industries based on an extensive interaction with industry leaders. We discuss the business usage model trends and the technology deployment model trends across the industries. We describe how the emerging models are different in their characteristics from those prevalent today, and using several real-world examples, explain the platform implications. Two key trends in the data centers of large enterprises are “scale-out” and grid computing. Scale-out allows application solutions to be deployed over a multiple independent set of resources that are networked together, while grid computing allows flexible and dynamic provisioning of these resources to scaled-out applications. Both these trends are driven by usage and deployment vectors focusing on lowering initial costs as well as improving utilization, scalability, and availability of data center resources. As enterprise compute and communication needs become increasingly complex, platform solutions from Intel have a crucial role to play in determining the optimum solution for these emerging models.
- "Understanding the Platform Requirements of Emerging Enterprise Solutions," Krishnamurthy Srinivasan and Raj Ramanujan, both of the Digital Enterprise Group; Michael Amirfathi, Information Platforms Group, Enrique Castro-Leon, Information Services and Technology Group, http://developer.intel.com/technology/itj/2005/volume09issue02/art07_platform_req/p09_authors.htm#Krishnamurthy_Srinivasan, Technology and Trends http://www.intel.com/techtrends/index.htm?iid=Corporate+Header_TechTrends&, Intel Technology Journal http://developer.intel.com/technology/itj/index.htm, Intel Corporation http://www.intel.com/index.htm, Compute-Intensive, Highly Parallel Applications and Uses, Volume 09, Issue 02, May 19, 2005, ISSN 1535-864X, DOI: 10.1535/itj.0902.07
Article URL here (html) http://developer.intel.com/technology/itj/2005/volume09issue02/art07_platform_req/p01_abstract.htm
File Name: intel_journal_vol09_art07.pdf
Post Date: May 20, 2005 at 9:25 CDT; 0225 GMT