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The motivation of this study is to investigate the effects of exoskeleton attachment on parcel-collector who undertake lifting work in temperature steps. With the rapid growth of China's economy and e-commerce, the domestic courier industry has ...

With the start of the COVID-19 on 2020, in order to protect the flight crew who are operating in ultra-long-range routes, the Civil Aviation Administration of China has implemented temporary deviation approval for the flight time restrictions of ...

Due to increasing popularity and strict performance requirements, online games have become a workload of interest for the performance engineering community. One of the most popular types of online games is the Minecraft-like Game (MLG), in which players ...

Cloud computing is an on-demand service resource that includes applications to data centres on a pay-per-use basis. While allocating resources, the node failure causes the cloud service failures. This reduces the quality of service along with 'extra' ...

Shortest distance computing in road networks is an essential component in a range of applications. As a well-adopted method, 2-hop labeling assigns each vertex a label and enables the distance computation only by a sort-merge join on the labels. However,...

Benchmarking of energy efficiency is important as it helps researchers, customers, and developers to evaluate and compare the energy efficiency of software and hardware solutions. Developing and deploying energy-efficiency benchmarking workloads are ...

High performance workloads with high bandwidth memory utilization are among the most power consuming software applications. When writing such applications, developers can directly influence power consumption of the final software through their choice of ...

Simplifying the task of resource management and scheduling for customers, while still delivering complex Quality-of-Service (QoS), is key to cloud computing. Many autoscaling policies have been proposed in the past decade to decide on behalf of cloud ...

Understanding workload characteristics is essential to storage systems design and performance optimization. With the emergence of flash memory as a new viable storage medium, the new design concern of flash endurance arises, necessitating a revisit of ...

Experimental analysis of computer systems' power consumption has become an integral part of system performance evaluation, efficiency management, and model-based analysis. As with all measurements, repeatability and reproducibility of power measurements ...

In the last decade, Warehouse Scale Computers (WSC) have grown in number and capacity while Hadoop became the de facto standard framework for Big data processing. Despite the existence of several benchmark suites, sizing guides, and characterization ...

In the last decade, Warehouse Scale Computers (WSC) have grown in number and capacity while Hadoop became the de facto standard framework for Big data processing. Despite the existence of several benchmark suites, sizing guides, and characterization ...

Data series are a prevalent data type that has attracted lots of interest in recent years. Most of the research has focused on how to efficiently support similarity or nearest neighbor queries over large data series collections (an important data mining ...

Many fields of modern science require huge amounts of computation, and workflows are a very popular tool in e-Science since they allow to organize many small, simple tasks to solve big problems. They are used in astronomy, bioinformatics, machine ...

Alongside the healthy development of the Cloud-based technologies across various application deployments, their associated energy consumptions incurred by the excess usage of Information and Communication Technology (ICT) resources, is one of the ...

Sharing data with client-side encryption requires key management. Selecting an appropriate key management protocol for a given scenario is hard, since the interdependency between scenario parameters and the resource consumption of a protocol is often ...

The academic community and industry are currently researching and building next generation data management systems. These systems are designed to analyze data sets of high volume with high data ingest rates and short response times executing complex ...

Emerging data analysis involves the ingestion and exploration of new data sets, application of complex functions, and frequent query revisions based on observing prior query answers. We call this new type of analysis evolutionary analytics and identify ...

Different workloads exhibit different memory footprint and have different dependency on the size and configuration of the memory hierarchy. To quantify the performance implication of various memory system architectures and attributes one needs to ...

Simulations of statistical models have been used to validate theories of past events in evolution of species. Studies concerning human evolution are important for understanding about our history and biodiversity. However, these approaches use complex ...