Search
Search Results
-
Multiple time servers timed-release encryption based on Shamir secret sharing for EHR cloud system
Electronic health record (EHR) cloud system, as a primary tool driving the informatization of medical data, have positively impacted both doctors and...
-
Energy-Constrained DAG Scheduling on Edge and Cloud Servers with Overlapped Communication and Computation
Mobile edge computing (MEC) has been widely applied to numerous areas and aspects of human life and modern society. Many such applications can be...
-
OPECE: Optimal Placement of Edge Servers in Cloud Environment
Cloud computing offloads user tasks to remote cloud servers, which can effectively enhance the user’s network experience, but in recent years, as the...
-
Multiple objectives dynamic VM placement for application service availability in cloud networks
Ensuring application service availability is a critical aspect of delivering quality cloud computing services. However, placing virtual machines...
-
Binary task offloading strategy for cloud robots using improved game theory in cloud-edge collaboration
In this study, we address the challenge of efficiently processing cloud robot tasks within cloud-edge collaborative systems by designing a...
-
BPaaS placement over optimum cloud availability zones
Business Process as a Service (BPaaS) has recently emerged from the synergy between business process management and cloud computing, allowing...
-
A Genetic Algorithm-based approach for placement in the fog of latency-sensitive multiplayer game servers
First-Person Shooter (FPS) games are among the most popular latency-sensitive multiplayer online games. A separate game server manages each...
-
Collaborative Task Processing and Resource Allocation Based on Multiple MEC Servers
Mobile Edge Computing (MEC), an emerging computing paradigm, shifts computing and storage capabilities from the cloud to the network edge, aiming to...
-
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...
-
Placement Combination between Heterogeneous Services and Heterogeneous Capacitated Servers in Edge Computing
With the rapid increase of applications in 5G and Internet of Things, mobile edge computing (MEC) has been proposed to reduce the burden of central...
-
Joint Participant Selection and Learning Optimization for Federated Learning of Multiple Models in Edge Cloud
To overcome the limitations of long latency and privacy concerns from cloud computing, edge computing along with distributed machine learning such as...
-
UDL: a cloud task scheduling framework based on multiple deep neural networks
Cloud task scheduling and resource allocation (TSRA) constitute a core issue in cloud computing. Batch submission is a common user task deployment...
-
Rainbow: reliable personally identifiable information retrieval across multi-cloud
Personally identifiable information (PII) refers to any information that links to an individual. Sharing PII is extremely useful in public affairs...
-
Task offloading optimization mechanism based on deep neural network in edge-cloud environment
With the rise of edge computing technology and the development of intelligent mobile devices, task offloading in the edge-cloud environment has...
-
Deep reinforcement learning based resource allocation in edge-cloud gaming
Cloud gaming refers to a type of online gaming where the games are hosted on remote servers while players can stream and play them over the internet....
-
On the scalability of the speedup considering the overhead of consolidating virtual machines in servers for data centers
Virtualization technologies are extensively utilized in data centers, particularly cloud computing. This facilitates data center management and...
-
Tournament based equilibrium optimization for minimizing energy consumption on dynamic task scheduling in cloud-edge computing
With the increasing advancements in the Internet of Things (IoT) and the growing production of tasks by IoT devices, the demand for cloud computing...
-
Servers
Servers are like computers that sit at the other end of the network hel** you do things. Servers are used for multiple purposes, including as...
-
Energy-aware parameter tuning for mixed workloads in cloud server
Server energy consumption constitutes a significant portion of the overall energy usage in cloud data centers. Achieving energy optimization through...
-
Electricity-cost-aware multi-workflow scheduling in heterogeneous cloud
Multi-workflows are commonly deployed on cloud platforms to achieve efficient computational power. Diverse task configuration requirements, the...
