Joint VM placement and routing for data center traffic engineering
Today's data centers need efficient traffic management to improve resource utilization in
their networks. In this work, we study a joint tenant (eg, server or virtual machine) placement …
their networks. In this work, we study a joint tenant (eg, server or virtual machine) placement …
Joint DNN partition deployment and resource allocation for delay-sensitive deep learning inference in IoT
Nowadays, the widely used Internet-of-Things (IoT) mobile devices (MDs) generate huge
volumes of data, which need analyzing and extracting accurate information in real time by …
volumes of data, which need analyzing and extracting accurate information in real time by …
Online computation offloading and traffic routing for UAV swarms in edge-cloud computing
Unmanned Aerial Vehicle (UAV) swarms are widely applied for service provisioning in many
domains such as topographic mapping and traffic monitoring. These UAV applications are …
domains such as topographic mapping and traffic monitoring. These UAV applications are …
Age-based scheduling: Improving data freshness for wireless real-time traffic
We consider the problem of scheduling real-time traffic with hard deadlines in a wireless ad
hoc network. In contrast to existing real-time scheduling policies that merely ensure a …
hoc network. In contrast to existing real-time scheduling policies that merely ensure a …
Service coverage for satellite edge computing
Recently, increasing investments in satellite-related technologies make the low earth orbit
(LEO) satellite constellation a strong complement to terrestrial networks. To mitigate the …
(LEO) satellite constellation a strong complement to terrestrial networks. To mitigate the …
Mode selection and resource allocation in device-to-device communications: A matching game approach
Device to device (D2D) communication is considered as an effective technology for
enhancing the spectral efficiency and network throughput of existing cellular networks …
enhancing the spectral efficiency and network throughput of existing cellular networks …
Deep reinforcement learning for user association and resource allocation in heterogeneous networks
Heterogeneous networks (HetNets) can offload the traffic and reduce the deployment cost,
which is regarded as a promising technique in next-generation cellular networks. Because …
which is regarded as a promising technique in next-generation cellular networks. Because …
On the effective parallelization and near-optimal deployment of service function chains
Network operators compose Service Function Chains (SFCs) by tying different network
functions (eg, packet inspection, flow shaping, network address translation) together and …
functions (eg, packet inspection, flow shaping, network address translation) together and …
Joint online optimization of data sampling rate and preprocessing mode for edge–cloud collaboration-enabled industrial IoT
Edge–cloud collaboration is critical in the Industrial Internet of Things (IIoT) for serving
computation-intensive tasks (eg, bearing fault monitoring) that require low-response delay …
computation-intensive tasks (eg, bearing fault monitoring) that require low-response delay …
Optimizing resource utilization of a data center
To provision IT solutions with reduced operating expenses, many businesses are moving
their IT infrastructures into public data centers or are starting to build their own private data …
their IT infrastructures into public data centers or are starting to build their own private data …