LiMPO: Lightweight mobility prediction and offloading framework using machine learning for mobile edge computing
Several applications have emerged with the proliferation of mobile devices to provide
communication, learning, social networking, entertainment, and community computing …
communication, learning, social networking, entertainment, and community computing …
COME-UP: Computation offloading in mobile edge computing with LSTM based user direction prediction
In mobile edge computing (MEC), mobile devices limited to computation and memory
resources offload compute-intensive tasks to nearby edge servers. User movement causes …
resources offload compute-intensive tasks to nearby edge servers. User movement causes …
Multi‐objective approach of energy efficient workflow scheduling in cloud environments
Scheduling the tasks of a workflow to the cloud resources is a well‐known N‐P hard
problem. The stakeholders involved in a cloud environment have different interests in …
problem. The stakeholders involved in a cloud environment have different interests in …
[PDF][PDF] A load balanced task scheduling heuristic for large-scale computing systems
Optimal task allocation in Large-Scale Computing Systems (LSCSs) that endeavors to
balance the load across limited computing resources is considered an NP-hard problem …
balance the load across limited computing resources is considered an NP-hard problem …
Cooperative content caching framework using cuckoo search optimization in vehicular edge networks
Vehicular edge networks (VENs) connect vehicles to share data and infotainment content
collaboratively to improve network performance. Due to technological advancements, data …
collaboratively to improve network performance. Due to technological advancements, data …
Content caching in mobile edge computing based on user location and preferences using cosine similarity and collaborative filtering
High-speed internet has boosted clients' traffic needs. Content caching on mobile edge
computing (MEC) servers reduces traffic and latency. Caching with MEC faces difficulties …
computing (MEC) servers reduces traffic and latency. Caching with MEC faces difficulties …
[PDF][PDF] Innovation in Teaching Method Using Visual Communication under the Background of Big Data and Artificial Intelligence.
X Hao - Mobile Information Systems, 2022 - pdfs.semanticscholar.org
Research Article Innovation in Teaching Method Using Visual Communication under the
Background of Big Data and Artificial Intell Page 1 Research Article Innovation in Teaching …
Background of Big Data and Artificial Intell Page 1 Research Article Innovation in Teaching …
Adaptive thresholds for improved load balancing in mobile edge computing using K-means clustering
T Maqsood, SK uz Zaman, A Qayyum… - Telecommunication …, 2024 - Springer
Mobile edge computing (MEC) has emerged as a promising technology that can
revolutionize the future of mobile networks. MEC brings compute and storage capabilities to …
revolutionize the future of mobile networks. MEC brings compute and storage capabilities to …
Content Caching in Mobile Edge Computing Based on User Location and Preferences Using Cosine Similarity and Collaborative Filtering.
High-speed internet has boosted clients' traffic needs. Content caching on mobile edge
computing (MEC) servers reduces traffic and latency. Caching with MEC faces difficulties …
computing (MEC) servers reduces traffic and latency. Caching with MEC faces difficulties …
Performance optimization of hydroelectric power-plants using computational intelligence techniques
Due to the increasing complexity of industrial systems, transportation systems etc. traditional
optimization techniques fail to provide a global solution of performance related issues. Most …
optimization techniques fail to provide a global solution of performance related issues. Most …