Background: The development of the Internet of Things (IoT) has led to a wide range of applications of wireless sensor networks in several fields, but the traditional LEACH protocol limits the long-term operation and ...
详细信息
Grid fusion of renewable energy based distributed generation (DG) is gaining popularity globally due to their benefits of increasing efficiency, power quality, and system reliability. In front of their benefits, they ...
详细信息
In islanded microgrid systems, it is critical to observe that how the system handles the sudden load change situation which is also known as transients. In islanded microgrid system, during a sudden load increase situ...
详细信息
A wireless sensor network (WSN) monitors and records the physical state of the environment, relays the collected data to a central location, and records it to track geophysical processes over a long period of time in ...
详细信息
Supercomputers have been driving innovations for performance and scaling benefiting several scientific applications for the past few decades. Yet their ecosystems remain virtually unchanged when it comes to integratin...
详细信息
Supercomputers have been driving innovations for performance and scaling benefiting several scientific applications for the past few decades. Yet their ecosystems remain virtually unchanged when it comes to integrating distributed data-driven workflows, primarily due to rather rigid access methods and restricted configuration management options. X-as-a-Service model of cloud has introduced, among other features, a developer-centric DevOps approach empowering developers of infrastructure, platform to software artefacts, which, unfortunately contemporary supercomputers still lack. We introduce vClusters (versatile software-defined clusters), which is based on Infrastructure-as-code (IaC) technology. vClusters approach is a unique fusion of HPC and cloud technologies resulting in a software-defined, multi-tenant cluster on a supercomputing ecosystem, that, together with software-defined storage, enable DevOps for complex, data-driven workflows like grid middleware, alongside a classic HPC platform. IaC has been a commonplace in cloud computing, however, it lacked adoption within multi-Petascale ecosystems due to concerns related to performance and interoperability with classic HPC data centres' ecosystems. We present an overview of the Swiss National Supercomputing Centre's flagship Alps ecosystem as an implementation target for vClusters for HPC and data-driven workflows. Alps is based on the Cray-HPE Shasta EX supercomputing platform that includes an IaC compliant, microservices architecture (MSA) management system, which we leverage for demonstrating vClusters usage for our diverse operational workflows. We provide implementation details of two operational vClusters platforms: a classic HPC platform that is used predominantly by hundreds of users running thousands of large-scale numerical simulations batch jobs;and a widely used, data-intensive, Grid computing middleware platform used for CERN Worldwide LHC computing Grid (WLCG) operations. The resulting solution sh
In-device network monitoring has emerged as a promising alternative to centralized telemetry for gaining insights into the status and behavior of network devices. Despite its advantages of providing in-depth device te...
详细信息
ISBN:
(纸本)9798350364613;9798350364606
In-device network monitoring has emerged as a promising alternative to centralized telemetry for gaining insights into the status and behavior of network devices. Despite its advantages of providing in-depth device telemetry and predicting failures in advance, it can impose substantial computational and storage burdens, potentially hindering networking devices' core switching and bridging functions. In light of this challenge, DUst system is introduced to dynamically distribute and offload in-device monitoring tasks by harnessing the available computational resources across network nodes. It is designed to be hardware-agnostic, making it deployable on switches, servers, DPUs, SmartNlCs, and other relevant devices. Our initial experiments on a real data center testbed indicate that DUst can reduce CPU utilization by up to 50% and memory usage by up to 15% in the context of in-device monitoring workloads. We present a comprehensive system architecture that encompasses various nodes and discuss the flow of packets and message communications. To tackle one of the primary challenges posed by DUst namely, the optimal relocation of computations while considering network performance constraints and controllable routing decisions we mathematically formulate the problem as an Integer Linear Program (ILP), along with a heuristic algorithm to reduce the computational complexity. We thoroughly examine the effectiveness and scalability aspects of our algorithms by considering various network sizes and use cases.
distributed photovoltaic(PV) power generation, as a highly flexible renewable energy source, is currently developing rapidly and has been widely used. However, due to its uncertainty and randomness, large-scale distri...
详细信息
作者：
Navaridas, JavierPascual, Jose A.
Dept. of Computer Architecture and Technology Paseo Manuel de Lardizabal 1 Donostia-San Sebastián20018 Spain
Dragonfly is becoming one of the networks of choice for high-performance computer systems as it offers a sweet spot in terms of cost, simplicity, performance, fault-tolerance and power. In a Dragonfly topology, comput...
详细信息
Electricity price forecasting at market clearance price (MCP) is a general requirement of any deregulated electricity market. The day ahead prediction of electricity price not only help the market regulation and custo...
详细信息
To improve resource mapping in coal exploration, this research introduces a new method that combines Internet of Things (IoT) sensor-based drilling devices with Support Vector Machine (SVM) algorithms. Coal exploratio...
详细信息
暂无评论