Search
Search Results
-
Analyzing Resource Utilization in an HPC System: A Case Study of NERSC’s Perlmutter
Resource demands of HPC applications vary significantly. However, it is common for HPC systems to primarily assign resources on a per-node basis to...
-
Multi-dimensional resource allocation strategy for LEO satellite communication uplinks based on deep reinforcement learning
In the LEO satellite communication system, the resource utilization rate is very low due to the constrained resources on satellites and the...
-
Agent-based cloud simulation model for resource management
Driven by the successful service model and growing demand, cloud computing has evolved from a moderate-sized data center consisting of homogeneous...
-
Reinvent Cloud Software Stacks for Resource Disaggregation
Due to the unprecedented development of low-latency interconnect technology, building large-scale disaggregated architecture is drawing more and more...
-
Resource optimization in edge and SDN-based edge computing: a comprehensive study
The proliferation of mobile devices and the increasing use of networked applications have generated enormous data that require real-time processing...
-
Lowest revenue limit-based truthful auction mechanism for cloud resource allocation
An auction mechanism is an effective way to allocate resources through market behavior. However, in existing studies, most auction mechanisms are...
-
FILL: a heterogeneous resource scheduling system addressing the low throughput problem in GROMACS
Despite advancements in computer hardware, the performance of GROMACS simulations has not exhibited significant improvement, primarily due to the...
-
An Study on the Resource Utilization and User Behavior on Titan Supercomputer
Understanding HPC facilities users’ behaviors and how computational resources are requested and utilized is not only crucial for the cluster...
-
Optimizing task offloading and resource allocation in edge-cloud networks: a DRL approach
Edge-cloud computing is an emerging approach in which tasks are offloaded from mobile devices to edge or cloud servers. However, Task offloading may...
-
Deep learning-based multivariate resource utilization prediction for hotspots and coldspots mitigation in green cloud data centers
Dynamic virtual machine (VM) consolidation is a constructive technique to enhance resource usage and is extensively employed to minimize data...
-
Resource Management approaches to Internet of Vehicles
The Internet of Vehicles (IoV) has become a significant issue in designing smart cities. Many applications and services are provided in IoV for...
-
A graphical deep learning technique-based VNF dependencies for multi resource requirements prediction in virtualized environments
With recent developments in cloud computing, massive unplanned traffic loads are submitted to cloud platforms. High traffic load variations lead to...
-
A truthful dynamic combinatorial double auction model for cloud resource allocation
Dynamic auction-based resource allocation models require little global price information, are decentralized and suitable for the distributed systems...
-
SimCost: cost-effective resource provision prediction and recommendation for spark workloads
Spark is one of the most popular big data analytical platforms. To save time, achieve high resource utilization, and remain cost-effective for Spark...
-
Slicing capacity-centered mode selection and resource optimization for network-assisted full-duplex cell-free distributed massive MIMO systems
Network-assisted full-duplex (NAFD) cell-free distributed massive multiple-input multiple-output (MIMO) systems enable uplink (UL) and downlink (DL)...
-
DRABC-LB: A Novel Resource-Aware Load Balancing Algorithm Based on Dynamic Artificial Bee Colony for Dynamic Resource Allocation in Cloud
The purpose of this research is to propose a dynamic configuration of resources in a cloud computing (CC) environment by using dynamic optimization...
-
Novel Approaches for Resource Management Across Edge Servers
Edge computing aims at reducing computation and storage across the cloud and provides service with reduced latency. Edge devices can be mobile...
-
A feature extraction and time war** based neural expansion architecture for cloud resource usage forecasting
Accurate resource utilization estimation is crucial for efficient resource allocation, capacity planning, and cost optimization in cloud systems. In...
-
Towards optimized scheduling and allocation of heterogeneous resource via graph-enhanced EPSO algorithm
Efficient allocation of tasks and resources is crucial for the performance of heterogeneous cloud computing platforms. To achieve harmony between...
-
An Effective Prediction of Resource Using Machine Learning in Edge Environments for the Smart Healthcare Industry
Recent modern computing and trends in digital transformation provide a smart healthcare system for predicting diseases at an early stage. In...