BEZVision Whitepaper
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Proactively Managing Service Delivery in a Multi-Tier Application Environment
Never has it been more difficult for an IT organization to manage resource utilization, performance, andservice delivery. Never has it been more difficult to meet the expectation of delivering uninterruptedservice while at the same time becoming more proactive and supporting the needs of the business. Clearly, IT needs help as it strives to transform itself into a proactive and visionary organization that supports the business.
This whitepaper describes an approach for proactively managing database and application performance in a complex multi-tier environment.
Proactive IT Management - Eliminating Mean Time To Surprise (Frost & Sullivan)
Two competencies are emerging as key to supporting IT departments in their ability to meet business needs in a disciplined way. These are 1) the ability to view IT data through a business lens – “connecting the dots” by mapping sometimes massive amounts of IT performance data to its impact on specific business needs and 2) the ability to predict future business needs and to appropriately evaluate and deploy IT resources to meet those needs – effectively achieving “just in time” – and thereby most cost-effective – deployment decisions. In addition, combining IT management into a systematic strategic system – or proactive Business Technology platform, avoids the management inefficiencies that come from independent, stovepiped implementations of these systems.
Challenges of Workload Characterization in Parallel Processing Environments
Note:- This paper was co-authored by globally recognized computer performance expert, Dr. Jeffrey P. Buzen and BEZ founder and Chief Technical Officer, Dr. Boris E. Zibitsker.
Abstract: SQL response time in parallel processing environments depends on several factors that do not arise in conventional systems. The first is intra-SQL parallelism: dividing the processing of a single SQL query into multiple subtasks that can be processed concurrently within a DBMS. As discussed in this paper, Oracle 10g, DB2 UDB ESE and Teradata all utilize different mechanisms to regulate intra-SQL parallelism, leading to special workload characterization problems in each case. SQL response time is also sensitive to usage patterns for rows, columns and individual data elements within a database. Data usage patterns play a critical role in determining the success or failure of certain performance optimization strategies such as constructing materialized views or creating additional indices. Workload characterization issues associated with SQL data usage patterns are also examined in this paper, with emphasis on data sources, analysis procedures, and applications.
Optimize Resources to meet Business Goals (Ptak, Noel & Associates)
Abstract: The introduction of dynamic operating environments through the application of Utility
computing technologies poses special problems in assuring optimal allocation of resources to
assure the consistent reliable delivery of business services. IT services directly link to the
achievement of business goals. The complexity of the relationships, interactions, and
interdependencies between resources and operations required to deliver services requires
automated management tools. Dynamically changing resource allocations place unique
demands on planning and management in order to balance current demands with the
achievement of business performance goals. This paper provides a discussion about the unique
challenges of managing the allocation of resources in a dynamic changing operating
environment. BEZVision from BEZ Systems provides an example of a solution designed to
address these challenges.