Simple, threshold-based auto-scaling mechanisms as mainly used in practice bring no features to overcome resource provisioning delays and non-linear scalability of a software service. In this tutorial paper, we guide the reader step-by-step through the ...

This paper accompanies a tutorial aimed at introducing the basics of system and control theory so as to foster their utilisation for the management, but most important for the design, of computing systems. The tutorial is divided into three parts. The ...

The emergence of large-scale software deployments in the cloud has led to several challenges: (1) measuring software performance in the data center, and (2) optimizing software for resource management. This tutorial addresses the two challenges by ...

The performance of application systems has a direct impact on business metrics. For example, companies lose customers and revenue in case of poor performance such as high response times. Application performance management (APM) aims to provide the ...

Distributed cache systems are used to store and retrieve frequently used data for faster access by exploiting the memory of more than one machine, but they appear as one logical big cache. In this paper, we studied the performance of two popular open ...

Benchmarking of energy efficiency is important as it helps researchers, customers, and developers to evaluate and compare the energy efficiency of software and hardware solutions. Developing and deploying energy-efficiency benchmarking workloads are ...

Timing analysis of embedded systems is an operation performed when there are tasks that have to execute with a well precise deadline, and need to be scheduled, such as those on real-time systems. The diffusion of embedded systems to different kind of ...

In this paper, we demonstrate how new technology from Oracle can be utilized to provide big data analytics acceleration in a streamlined fashion. Specifically, our approach leverages the acceleration capabilities of the Data Analytics Accelerator (DAX) ...

Performance changes of software systems, and especially performance regressions, have a tremendous impact on users of that system. Historical data can help developers to reason about how performance has changed over the course of a software's lifetime. ...

Nowadays, a plethora of techniques and methods are available to optimize the runtime behavior of complex applications, ranging from modeling/prediction tools to the employment of recognized patterns and/or knowledge-bases on the expected performance ...

Many situations in the security domain require decision-making based on complex data, i.e., many variables which need to be taken into account before adequate decisions can be made. For example, in a surveillance scenario, the size and complexity of the ...

Distributed stream processing and event-based systems are an increasingly critical component in contemporary large-scale data processing applications, and are often subject to strict latency and reliability requirements. However, to achieve scalability ...

As the importance of application performance grows in modern enterprise systems, many organizations employ application performance management (APM) tools to help them deal with potential performance problems during production. In addition to monitoring ...

High performance workloads with high bandwidth memory utilization are among the most power consuming software applications. When writing such applications, developers can directly influence power consumption of the final software through their choice of ...

Nowadays embedded systems are powerful and everywhere. They implement complex functionality relying on a huge set of different hardware and software (HW/SW) architectures. In order to reduce their development effort, HW/SW Co-Design techniques are used ...

State-of-the-art memory monitoring tools collect lots of raw data. Yet, the analysis of this data is often not well supported. Existing tools restrict the user in the way how to analyze the underlying data, how to process it, and how to visualize it. ...

Today's embedded systems demand increasing computing power to accommodate the ever-growing software functionality. Automotive and avionic systems aim to leverage the high performance capabilities of multicore platforms, but are faced with challenges ...

Intuitive visual representations of architecture capabilities and the performance of applications are critical to enabling effective performance analysis, which in turn guides optimizations. The Roofline Model and its derivatives provide such an ...

Video streaming applications generate a large fraction of Internet traffic. Much of this content is delivered over HTTP using standard web servers. Unlike other types of web workloads, HTTP video streaming workloads are typically disk bound, and ...

Computer architects have increased hardware parallelism and power efficiency by integrating massively parallel hardware accelerators (coprocessors) into compute systems. Many modern HPC clusters now consist of multi-CPU nodes along with additional ...