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This chapter describes the IIA's control self‐assessment (CSA) process and the importance of internal audit benchmarking. Questionnaires and other materials are included to help an internal audit function to launch an internal audit CSA process and to perform internal audit benchmarking procedures.
Graph data management and mining in HPC environments has been a widely discussed issue in recent times. In this talk I will describe the use of Partitioned Global Address Space languages for graph data mining and management. I will first discuss the rationale behind X10 based graph libraries and graph database benchmarks using ScaleGraph and XGDBench as examples. Next, I will take Acacia which is...
The incorrect use of cryptography is a common source of critical software vulnerabilities. As developers lack knowledge in applied cryptography and support from experts is scarce, this situation is frequently addressed by adopting static code analysis tools to automatically detect cryptography misuse during coding and reviews, even if the effectiveness of such tools is far from being well understood...
The rapidly growing number of large network analysis problems has led to the emergence of many parallel and distributed graph processing systems—one survey in 2014 identified over 80. Determining the best approach for a given problem is infeasible for most developers. We present an approach and associated software for analyzing the performance and scalability of parallel, open-source graph libraries...
As the SIMD width of modern microprocessors has been widening for keeping up with the computational demand for HPC systems, recently the vector architecture comes back to spotlight. Besides, a modern vector architecture that has been keeping a large SIMD width and a high B/F ratio has survived and evolved in the HPC community. In this paper, to clarify the potential of the modern vector architecture,...
The library remote information services of higher educational establishments of America are analysed. The study is based on benchmarking and weights of alternatives methods that allow to identify the group of library leaders in providing quality information services.
Cloud and high-performance computing storage systems are comprised of thousands of physical storage devices and uses software that organize them into multiple data tiers based on access frequency. The characteristics of these devices lend themselves well to these tiers as devices have differing ratios of performance to capacity. Due to this, these systems have, for the past several years, incorporated...
Optimisation problem concerning material flows, to increase the efficiency while reducing relative resource consumption is one of the most pressing problems today. The focus point of this study is to propose a new visual benchmarking approach to select the best material-flow path from the depot to the production lines, referring to the well-known Capacitated Vehicle Routing Problem (CVRP). An example...
The accurate measurement of a server's power consumption when running realistic workloads enables characterization of its energy efficiency and helps to make better provisioning and workload placement decisions. Information on the energy efficiency of a server for a given target workload can greatly influence such decisions and thus the final energy efficiency of a cluster or data center. However,...
Agricultural textures are in the interest of classification in image processing. Natural images have unique textural shapes inside which cause a tough problem for classification. This paper tests different feature extraction and classification approaches to serve a benchmarking on several agricultural databases like seeds and leaves. Features are obtained using Local Binary Pattern (LBP), Gray Level...
Docker containers have recently become an extremely popular means of building robust, modular systems. Essentially, many architectures leverage lightweight virtualization to manage micro-services. Surprisingly however, there are very few studies revealing the overheads, such as starting new containers in orchestration systems, such as Kubernetes. Though traditional Virtual Machines (VMs) can take...
In this study, we develop a thermal-aware job scheduling strategy called tDispatch tailored for MapReduce applications running on Hadoop clusters. The scheduling idea of tDispatch is motivated by a profiling study of CPU-intensive and I/O-intensive jobs from the perspective of thermal efficiency. More specifically, we investigate the thermal behaviors of these two types of jobs running on a Hadoop...
To facilitate comparisons of electromagnetics solvers in terms of accuracy, efficiency, parallel scaling, and other relevant parameters, several benchmarking problems and their accurate solutions are provided. Solutions of some of the world's largest scattering problems involving conducting and dielectric spheres, NASA almond, and other useful real-life geometries are provided. An interactive on-line...
In the current trend of moving everything into the cloud, cloud-based remote desktops are not an exception. Benchmarking virtual remote desktops for performance optimization is an important task for the successful development and deployment planning of virtual desktop infrastructure (VDI) used to deliver remote desktops. This task is very challenging at cloud scale because of rapid evolution of VDI...
There are many available NAT64 implementations, but we can not measure their performance per the standards, due to the lack of complaint testers. The aim of our effort is to design and write the first implementation of a test program that could provide the first answer to these needs. For benchmarking Network Interconnect Devices we could use the recommendation of the 2544 (IP version independent)...
A standardized Communication / Information Protocol is necessary for implementing the 4 upper digitalization layers of Industrie 4.0-compliant solutions. OPC UA is one of the leading and preferred technology. Currently, there are many different OPC UA implementations available on the market. This paper gives an overview of existing solutions and shows the results of an initial benchmarking based on...
This paper investigates the scalability of WRF (Weather Research and Forecast) model on three different platforms: BlueGene/P, Intel Xeon Cluster and Microsoft Azure cloud at different resolutions and domain sizes. Contrary to prior work we benchmark the model on a cloud platform, analyze the behavior of various individual configurations, and test the scalability of our previously proposed parallel...
Cloud environments are criticized for their volatility in performance aspects, making it extremely difficult for time- critical applications owners to perform the decisive step for migration and owners of SaaS to present performance vs cost tradeoffs to their customers when acting as IaaS customers. The aim of this work is to present an architectural approach based on which a)IaaS providers may enhance...
This paper proposes a conceptual, performance-based ranking framework that prioritises the output of multiple Static Analysis Tools, to improve the tool effectiveness and usefulness. The framework weights the performance of Static Analysis Tools per defect type and cross-validates the findings between different Static Analysis Tools' reports. An initial validation shows the potential benefits of the...
This paper reports on an internal study carried out at the European Space Agency (ESA) for assessing the reference performance of Payload Data Transmitters achieved in the mid-term. This assessment is meant to provide input to the ESA roadmaps for the 2023 time frame. The assessment is carried out for various space missions, from low Earth to deep space orbits. Taking advantage of technology evolution...
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