Communication time prediction is critical for parallel application performance tuning, especially for the rapidly growing field of data-intensive applications. However, making such predictions accurately is non-trivial when contention exists on different components in hierarchical networks. In this paper, we derive an ‘asymmetric network property’ on TCP layer for concurrent bidirectional commu...

How early in the software development cycle are most performance defects found? Before or after QA? Industry pundits have long sought to reduce costs by fixing software defects earlier in the cycle. The path to these cost reductions, however, is fraught with road blocks. This paper focuses on a concrete testing regimen that works around these longstanding obstacles. It empowers developers to fi...

A major cause of failures in large database management systems (DBMS) is operator faults. Although most of the complex DBMS have comprehensive recovery mechanisms, the effectiveness of these mechanisms is difficult to characterize. On the other hand, the tuning of a large database is very complex and database administrators tend to concentrate on performance tuning and disregard the recovery me...

In this paper we give an overview of the current state of the graphical features provided by ILOG OPL Studio for debugging and performance tuning of OPL programs or external ILOG Solver based applications. This paper focuses on combining propagation and search information using the Search Tree view and the Propagation Spy. A new synthetic view is presented: the Christmas Tree, which combines th...

Modeling workflow performance is crucial for finding optimal configuration parameters and optimizing execution times. We apply the method of surrogate-based modeling to performance tuning of MapReduce jobs. We build a surrogate model defined by a multivariate polynomial containing a variable for each parameter to be tuned. For illustrative purposes, we focus on just two parameters: the number o...

One of the most difficult and hard to learn tasks in computer system management is tuning the kernel parameters in order to get the maximum performance. Traditionally, this tuning has been set using either fixed configurations or the subjective administrator’s criteria. The main bottleneck among the subsystems managed by the operating systems is disk Input/Output (I/O). An evolutionary module h...

Abstract: The Archive for the Earth Observing Systems (EOS) Project reflects the scale of the project itself. Its data holdings over all the Distributed Active Archive Centers (DAACs) are projected to exceed two Petabytes by the year 2002. This paper describes the experience and results of the integration and tuning process for the hardware and Commercial Off The Shelf (COTS) software used toda...

Parallel performance tuning naturally involves a diagnosis process to locate and explain sources of program inefficiency. Proposed is an approach that exploits parallel computation patterns (models) for diagnosis discovery. Knowledge of performance problems and inference rules for hypothesis search are engineered from model semantics and analysis expertise. In this manner, the performance diagn...

Problem statement: In the real world most of the controlled processes in industries are Multi-Input Multi-Output (MIMO) in nature.They have more than a single controlled variable that should be manipulated in order to achieve the desired control performance. Approach: Control of non linear Multi Input Multi Output processes, it is a difficult task because of the non stationary behaviour, substa...

This article presents performance-related architecture topics for the Intel 5100 MCH chipset to assist system architects in designing a high performance solution. It will help engineers and architects make decisions with an awareness of performance implications, such as CPU population, memory configuration, and I/O device placement. This article also addresses performance tuning options for the...