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Showing 1 to 20 of 593 for “"Workloads"”.
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Analyzing storage system workloads
Analysis of storage system workloads is important for a number of reasons. The analysis might be performed to understand the usage patterns of existing storage systems. It is very important for the architects to understand the usage patterns when designing and developing a new, or improving upon …
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Affinity scheduling of unbalanced workloads
Shared memory multiprocessor systems are becoming increasingly important and common. Multiprocessor environments are significantly different from uniprocessor environments, raising new scheduling issues that need to be considered. A fundamental scheduling issue arises in situations in which a …
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Approximate computing techniques for accelerating compute intensive workloads
… performance of memory and compute intensive workloads in science or engineering. One of the main components to the current success of ML is the ability to perform computations on very large amounts of training data. Similarly in the AR/VR world, high performance computing enables users to …
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Machine Learning for Out of Distribution Database Workloads
… such models can be specialized to particular workloads — thus, it may be possible to do much better than average by learning patterns, such as some joins are always unexpectedly slow, or some tables are always much larger than expected. This can be very beneficial for performance, however, …
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Intelligent Management of Virtualised Computer Based Workloads and Systems
Managing the complexity within virtualised IT infrastructure platforms is a common problem for many organisations today. Computer systems are often highly consolidated into a relatively small physical footprint compared with previous decades prior to late 2000s, so much thought, planning and …
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Towards SLO-aware Resource Scheduling for Serverless Inference Workloads
… monitoring, thus allowing Serverless Inference workloads to meet their SLO targets even during peak traffic. The proposed approach aims to optimize resource utilization, mitigate tail latency, and improve overall system performance.
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Torpedo: A Fuzzing Framework for Discovering Adversarial Container Workloads
… security guarantees to ensure that adversarial workloads cannot disrupt the activities of coresident containers on a given host. Unfortunately, recent work has shown that the isolation guarantees provided by containers are not absolute. Due to inconsistencies in the way cgroups have been added …
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An Investigation of I/O Strategies for MPI Workloads
Different techniques could be used for improving application performance in parallel systems. Studies have been shown that I/O communication delay is the main reason for different behavior of I/O intensive applications with specific requirements for performance optimization. So, using common …
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Throughput and Nurses' Workloads: Influences on Nurse and Patient Outcomes
… nursing units can significantly impact the workloads of nurses. However, very few staffing measures account for patient throughput, thus underestimating nurses' workloads. Research has shown that when nurse staffing is more favorable, patient and nurse outcomes are more favorable. What is …
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Comparing the Efficiency of Heterogeneous and Homogeneous Data Center Workloads
… proposes the idea that balanced data center workloads are more efficient in comparison to similar levels of data center workloads that are not balanced across the data center facility. Identifying and documenting this effect would enable system architects to better plan data center system …
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An Interactive Visualization Model for Analyzing Data Storage System Workloads
… seen by hard disks. Additionally, hard drive workloads can have several multi-dimensional characteristics, such as access time, queue depth and block-address space. The result is that hard drive workloads are extremely diverse and large, making extracting meaningful information from hard drive …
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Dynamic resource provisioning for data center workloads with data constraints
Dynamic resource provisioning, as an important data center software building block, helps to achieve high resource usage efficiency, leading to enormous monetary benefits. Most existing work for data center dynamic provisioning target on stateless servers, where any request can be routed to any …
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Optimizing Memory-Resident Decision Support System Workloads for Cache Memories
In the second part of this work cache optimizations are proposed for two database system components: algorithms and query optimizer. In the former, blocking and prefetching are applied to database algorithms. In the latter the first public domain cache-oriented query optimizer is proposed. This …
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Toward predictable execution of real-time workloads on modern GPUs
Over the last decade, real-time systems have witnessed a major increase in computational demands, which cannot be met by existing multi-core processors. Graphics processing units (GPUs) are a cost-effective solution to serve such systems. The high throughput and energy efficiency offered by GPUs …
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An Analysis of Conventional & Heterogenous Workloads on Production Supercomputing Resources
… to infer the characteristics of<br />their workloads, and make observations as to the needs of supercomputer users based on<br />them. We particularly focus on the usage of graphical processing units by domain<br />scientists. Based on this analysis, we generate a synthetic workload that can …
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The impact of highly interactive workloads on video-on-demand systems
The traditional start-to-finish playback model is not suitable for all modern interactive video streams. Users expect support for higher levels of interactivity such as fast forward and rewind or the ability to arbitrary seek within their media quickly and efficiently. By conducting user studies we …
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Ensuring reliable and secure deployment of emergent workloads on modern microprocessors
Dependable systems aim to provide reliability and security guarantees, protecting against both random events and intentional threats. Physical phenomena, such as hardware faults, pose a challenge to dependable systems, as they can undermine both reliability and security. While these challenges have …
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Using hybrid shared and distributed caching for mixed-coherency GPU workloads
… and incoherent classes of memory operations. Workloads using these models typically have working sets too large to fit in an economical SRAM structure. Still, GPU architectures have last-level caches to primarily fulfill two functions: eliminate redundant DRAM accesses servicing requests from …
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