Figure - available from: Discrete Dynamics in Nature and Society
This content is subject to copyright. Terms and conditions apply.
Source publication
The serious issue of energy consumption for high performance computing systems has attracted much attention. Performance and energy-saving have become important measures of a computing system. In the cloud computing environment, the systems usually allocate various resources (such as CPU, Memory, Storage, etc.) on multiple virtual machines (VMs) fo...
Similar publications
FPGAs are an attractive type of accelerator for all-purpose HPC computing systems due to the possibility of deploying tailored hardware on demand. However, the common tools for programming and operating FPGAs are still complex to use, especially in scenarios where diverse types of tasks should be dynamically executed. In this work we present a prog...
GPUs in High-Performance Computing systems remain under-utilised due to the unavailability of schedulers that can safely schedule multiple applications to share the same GPU. The research reported in this paper is motivated to improve the utilisation of GPUs by proposing a framework, we refer to as schedGPU, to facilitate intra-node GPU co-scheduli...
Power consumption became a limitation for large scale computer systems, especially in high-performance computing and cloud computing contexts. In this lecture, I explain how power became an issue, server power breakdown by components, data center power consumption, and the practices to build energy-efficient servers and data centers. Finally, I use...
Software is becoming a central issue in decreasing the power consumption in low-power programmable computer systems. In such systems the amount of energy consumption caused by software has several impact of the systems costs. Minimizing power consumption is one of the primary challenges that applications developers faces due to lack of the running...
This article presents an empirical evaluation of power consumption of synthetic benchmarks in multicore computing systems. The study aims at providing an insight of the main power consumption characteristics of different applications when executing over current high performance computing servers. Three types of applications are studied executing in...
Citations
... The design and operation of SCSs provide numerous challenges as the system grows in size and complexity. It was suggested to use a modeling framework that takes into account both software and hardware failures in order to assess a system's performance and reliability [49]. When one or more components of a system fail, the system either stops working entirely or performs worse. ...
This paper presents a phased fault tree analysis (phased-FTA)-based approach to evaluate the performability of Autonomous Underwater Vehicles (AUVs) in real time. AUVs carry out a wide range of missions, including surveying the marine environment, searching for specific targets, and topographic mapping. For evaluating the performability of an AUV, it is necessary to focus on the mission-dependent components and/or subsystems, because each mission exploits different combinations of devices and equipment. In this paper, we define a performability index that quantifies the ability of an AUV to perform the desired mission. The novelty of this work is that the performability of the AUV is evaluated based on the reliability and performance of the relevant resources for each mission. In this work, the component weight, expressing the degree of relevance to the mission, is determined using a ranking system. The proposed ranking system assesses the performance of the components required for each mission. The proposed method is demonstrated under various mission scenarios with different sets of faults and performance degradations.
... Further, it supports the dynamic configuration of components and inter component connections. In [57], Zhang et al. proposed a modeling framework to analyze the reliability, performance and energy consumption by considering the hardware and software failures. In addition, this model also considers the trade-off of energy and performance and makes balance between them to optimize the processor utilization. ...
... On the basis of the fault load Byteman rules and test scenario defined [62]. ''Function p (n, t) the transient value of the probability of program P's correct execution, for input n and time t'' [57]. Cumulative distribution function between two successive runs are calculated as First derive the hardware software reliability model in which HW and SW failure and repair time follow the exponential distribution with means 1/θ , 1/η, 1/λ and 1/µ respectively and derive function for reliability and performance based on the parameters. ...
... Energy consumption directly affected performance and reliability of the systems. The reliability improvement methods decrease the performance vice-versa [22,43,57]. Power consumption modeling H = C e *f m + b, (H power consumption, f m Processor frequency, m is the dynamic power exponent, C e effecting switching capacitance and b is the constant which represent the power maintaining the basic circuit and frequency independent active power) [43] Expected power consumption can also be calculated based on the average frequency of all cores. ...
The efficient management of the performance and reliability factors of safety critical systems (SCSs) may optimize system’s performability and hence improve the quality of the SCSs. A review work is done on performability analysis of safety critical systems. The primary aim of the study is to investigates the existing approaches of performability evaluation of SCSs and find out the strengths and limitations of the performability approaches. Different performability parameters are examined and various critical challenges are pointed out. It is also important to know that how the researchers defined the term “performability” in the literature. Several review work visible in the literature deals with performance and reliability issues separately. In this work, an attempt has been made to understand the comprehensive picture of performance and reliability factors in a combined manner. The given review is the most contemporary as it includes studies published from 2011 to 2019. Some earlier studies are also included based on their relevance. Identifying the different scenarios of performability and purposeful classification of performability parameters are the major achievement of the review. The obtained results will enable academicians and novice researchers to make effective decision on performability of SCSs.
