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Now showing items 1-10 of 13
Release-time aware VM placement
(
IEEE
, 2014 , Conference Paper)
Consolidating virtual machines (VMs) on as few physical machines (PMs) as possible so as to turn into sleep as many PMs as possible can make significant energy savings in cloud centers. Although traditional online bin ...
RSU cloud and its resource management in support of enhanced vehicular applications
(
IEEE
, 2014 , Conference Paper)
We propose Roadside Unit (RSU) Clouds as a novel way to offer non-safety application with QoS for VANETs. The architecture of RSU Clouds is delineated, and consists of traditional RSUs and specialized micro-datacenters and ...
A graph convolutional network-based deep reinforcement learning approach for resource allocation in a cognitive radio network
(
MDPI
, 2020 , Article)
Cognitive radio (CR) is a critical technique to solve the conflict between the explosive growth of traffic and severe spectrum scarcity. Reasonable radio resource allocation with CR can effectively achieve spectrum sharing ...
Joint resource allocation and power control for D2D communication with deep reinforcement learning in MCC
(
Elsevier B.V.
, 2021 , Article)
Mission-critical communication (MCC) is one of the main goals in 5G, which can leverage multiple device-to-device (D2D) connections to enhance reliability for mission-critical communication. In MCC, D2D users can reuses ...
Online assignment and placement of cloud task requests with heterogeneous requirements
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
Managing cloud resources in a way that reduces the consumed energy while also meeting clients demands is a challenging task. In this paper, we propose an energy-aware resource allocation framework that: i) places the ...
Malicious-proof and fair credit-based resource allocation techniques for DSA systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Article)
We propose a credit-based resource allocation technique for dynamic spectrum access that is robust against malicious and selfish behaviors and ensures good overall system fairness performance while also allowing spectrum ...
Toward energy-efficient cloud computing: Prediction, consolidation, and overcommitment
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Article)
Energy consumption has become a significant concern for cloud service providers due to financial as well as environmental factors. As a result, cloud service providers are seeking innovative ways that allow them to reduce ...
Exploiting Task Elasticity and Price Heterogeneity for Maximizing Cloud Computing Profits
(
IEEE Computer Society
, 2018 , Article)
This paper exploits cloud task elasticity and price heterogeneity to propose an online resource management framework that maximizes cloud profits while minimizing energy expenses. This is done by reducing the duration ...
Distributed resource allocation in cloud-based wireless multimedia social networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2014 , Article)
With the rapid penetration of mobile devices, more users prefer to watch multimedia live-streaming via their mobile terminals. Quality of service provision is normally a critical challenge in such multimedia sharing ...
A promising non-orthogonal multiple access based networking architecture: Motivation, conception, and evolution
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
Since it can offer higher spectral efficiency by granting the served data to share the same spectrum resource synchronously, NOMA is considered as a bright multiple access technique for future wireless networks. Accommodating ...