We address the problem of scheduling workflow applications on heterogeneous computing systems like cloud computing infrastructures. In general, the cloud workflow scheduling is a complex optimization problem which requires considering different criteria so as to meet a large number of QoS (Quality of Service) requirements. Traditional research in workflow scheduling mainly focuses on the optimi...

Counter-based power models have attracted the interest of researchers because they became a quick approach to know the insights of power consumption. Moreover, they allow to overpass the limitations of measurement devices. In this paper, we compare different Top-down and Bottom-up Counter-based modeling methods. We present a qualitative and quantitative evaluation of their properties. In additi...

We propose a cache architecture using a 7T/14T SRAM [1] and a control mechanism for reliability enhancements. Our control mechanism differs from the conventional DVFS methods, which considers not only the CPI behaviors but also the cache utilizations. To measure cache utilization, a novel metric is proposed. The experimental results show that our proposed method achieves thousand times less bit...

As energy efficiency became a critical factor in the embedded systems domain, dynamic voltage and frequency scaling (DVFS) techniques have emerged as means to control the system’s power and energy efficiency. Additionally, due to the compact design, thermal issues become prominent. State of the art work promotes software decoupled accessexecution (DAE) that statically generates code amenable to...

Energy efficiency presents a significant challenge to the reliability of Internet Things (IoT) services. Wireless Sensor Networks (WSNs) present as an elementary technology IoT, which has limited resources. Appropriate energy management techniques can perform increasing under variable workload conditions. Therefore, this paper aims experimentally implement hybrid solution, combining Dynamic Vol...

Service providers are migrating to on-demand cloud computing services to unburden the task of managing infrastructure, while cloud computing providers expand the number of servers in their data centers because of the increase in load. With this growing need, their energy consumption increases significantly. Conserving energy and reducing the operational cost while satisfying the service level a...

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Negative Bias Temperature Instability (NBTI) is a reliability challenge due to circuit degradation, which has only received attention after its appearance in the last decade. The problem leads to an increase in the threshold voltage and a decrease in the drive current of p-channel transistors when they are stressed over extended periods of time. In this paper, we use an advanced model for estim...

Maximum power consumption is an important consideration in server design, as the total power envelope affects cooling costs and can limit performance. One approach to limiting total power is power shifting, managing power budgets among system sub-components to meet an overall total constraint. In this paper, we investigate processor-memory power shifting on a multi-threaded, 32-core commercial ...

Most modern mobile cyber-physical systems such as smartphones come equipped with multi-processor systems-on-chip (MPSoCs) variant computing capacity both to cater performance requirements and reduce power consumption when executing an application. In this paper, we propose a novel approach dynamic voltage frequency scaling (DVFS) on CPU, GPU RAM in MPSoC, which caters the of application while c...