While most workload characterization focuses on application and architecture performance, the variability in performance also has wide ranging impacts on the users and managers of large scale computing resources. Performance variability, while secondary to absolute or optimal performance itself, can significantly detract from both the overall performance realized by parallel workloads and the s...

We have developed an efficient single queue scheduling system that utilizes a greedy knapsack algorithm with dynamic job priorities. Our scheduler satisfies high level objectives while maintaining high utilization of the HPC system or collection of distributed resources such as a computational GRID. We provide simulation analysis of our approach in contrast with various scheduling strategies of...

Emerging applications make increasing use of shared and distributed data. Workload adaptive storage based on RAID (Redundant Arrays of Independent Disks) is currently the most suitable technology to fulll storage needs and to manage multi-source access with variable characteristics in terms of arrival frequency, mean size and access type (read/write). However, workload adaptive storage suuers f...

Brownian networks are a class of stochastic system models that can arise as heavy traffic approximations for stochastic processing networks. In earlier work we developed the “equivalent workload formulation” of a generalized Brownian network: denoting by Z t the state vector of the generalized Brownian network at time t, one has a lower dimensional state descriptor W t =MZ t in the equivalent w...

conclusions the nursing workload is influenced by many factors. the clear responsibilities and authorities of nurses, patients' admission according to the capacity of wards, use of the new technologies and equipment, and providing basic training for new nurses can decrease the workload of nurses. results twenty-five factors were divided into three major categories through efa, including structu...

As with general graph processing systems, partitioning data over a cluster of machines improves the scalability of graph database management systems. However, these systems will incur additional network cost during the execution of a query workload, due to interpartition traversals. Workload-agnostic partitioning algorithms typically minimise the likelihood of any edge crossing partition bounda...

OBJECTIVES Building on Karasek's model of job demands and control (JD-C model), this study examined the effects of job control, quantitative workload, and two occupation specific job demands (physical demands and supervisor demands) on fatigue and job dissatisfaction in Dutch lorry drivers. METHODS From 1181 lorry drivers (adjusted response 63%) self reported information was gathered by quest...

Microbiology laboratories continually strive to streamline and improve their urine culture algorithms because of the high volumes of urine specimens they receive and the modest numbers of those specimens that are ultimately considered clinically significant. In the current study, we quantitatively measured the impact of the introduction of CHROMagar Orientation (CO) medium into routine use in t...

OBJECTIVE To assess the effect of vision in three dimensions (3D) versus two dimensions (2D) on mental workload and laparoscopic performance during simulation-based training. MATERIALS AND METHODS A prospective, randomized crossover study on inexperienced students in operative laparoscopy was conducted. Forty-six candidates executed five standardized exercises on a pelvitrainer with both visi...