Predicting the performance of software architectures during early design stages is an active field of research in software engineering. It is expected that accurate predictions minimize the risk of performance problems in software systems by a great extent. This would improve quality and save development time and costs of subsequent code fixings. Although a lot of different methods have been pr...

Query performance prediction aims to determine in advance whether a user’s search request will return a useful answer set. The success of such prediction attempts are currently evaluated by calculating the correlation between the predicted performance and standard information retrieval metrics of system performance such as average precision. However, recent work suggests that there is little re...

An overall objective of energy efficiency in the built environment is to improve building and systems performances in terms of durability, comfort and economics. In order to predict, improve and meet a certain set of performance requirements related to the indoor climate of buildings and the associated energy demand, building energy simulation (BES) tools are indispensable. Due to the rapid dev...

Despite the high skill levels needed to cope with complex technical systems and the pace of technological change, there remain persistent skill gaps in the United States workforce. Organizations are increasingly relying on skill-based programs to encourage and foster employee skill development. Unfortunately, many questions remain about how to make skillbased promotions. Drawing from research o...

Efficient performance tuning of parallel programs is often hard. In this paper we describe an approach that uses a uni-processor execution of a multithreaded program as reference to simulate a multiprocessor execution. The speed-up is predicted, and the program behaviour is visualized as a graph, which can be used in the performance tuning process. The simulator considers scheduling as well as ...

Refinement via annotations is a common practice in Model-Driven Engineering (MDE). For instance, in the case of our Model-Driven Performance Engineering (MDPE) architecture, we are required to annotate different types of process models with performance objectives, constraints and other information. This is used to enable domain experts, such as business analysts, to benefit from an automated pe...

Embedded systems operating on high data workloads are becoming pervasive. ECA rule engines provide a flexible environment to support the management, reconfiguration and execution of business rules. However, modeling the performance of a rule engine is challenging because of its reactive nature. In this work we present the performance analysis of an ECA rule engine in the context of a supply cha...

Performance stability is an essential feature for the widespread adoption of multicomputers. In this paper, we report the preliminary steps of our research in performance prediction and extrapolation. Performance tuning, guided by extrapolation, may help achieve a substantial fraction of peak performance rates across a broader range of applications while providing guidance for code porting. We ...

Symbolic cost models are an important performance engineering tool because of their diagnostic value and their very low solution cost when the computation features regularity. However, especially for parallel applications their derivation, including the symbolic simplifications essential for low solution cost, is an effort-intensive and error-prone process. We present a tool that automatically ...