Results 301 to 310 of about 3,719,507 (369)

Bandwidth‐aware divisible task scheduling for cloud computing

Software: Practice and Experience, 2014
SUMMARYTask scheduling is a fundamental issue in achieving high efficiency in cloud computing. However, it is a big challenge for efficient scheduling algorithm design and implementation (as general scheduling problem is NP‐complete). Most existing task‐scheduling methods of cloud computing only consider task resource requirements for CPU and memory ...
Weiwei Lin, Chen Liang, J. Wang, R. Buyya   +3 more
semanticscholar   +2 more sources

Algorithmic Computability of the Signal Bandwidth

IEEE Transactions on Information Theory, 2021
The bandwidth of a bandlimited signal is an important number that is relevant in many applications and concepts. For example, according to the Shannon sampling theorem, the bandwidth determines the minimum sampling rate that is required for a perfect reconstruction.
Holger Boche, Ullrich J. Monich
openaire   +1 more source

Auction Mechanism for Dynamic Bandwidth Allocation in Multi-Tenant Edge Computing

IEEE Transactions on Vehicular Technology, 2020
Inspired by the shared infrastructure of colocation data centers and the growth of Mobile Edge Computing (MEC), colocation MEC businesses have thrived to offer an economical and low latency solution for MEC based tenants.
T. Le, N. H. Tran, Tuan LeAnh, Thant Zin Oo, Kitae Kim, Shaolei Ren, C. Hong   +6 more
semanticscholar   +1 more source

Edge Computing: Vision and Challenges

IEEE Internet of Things Journal, 2016
The proliferation of Internet of Things (IoT) and the success of rich cloud services have pushed the horizon of a new computing paradigm, edge computing, which calls for processing the data at the edge of the network.
Weisong Shi, Jie Cao, Quan Zhang, Youhuizi Li, Lanyu Xu   +4 more
semanticscholar   +1 more source

Dedas: Online Task Dispatching and Scheduling with Bandwidth Constraint in Edge Computing

IEEE Conference on Computer Communications, 2019
In this paper, we study online deadline-aware task dispatching and scheduling in edge computing. We jointly consider management of the networking bandwidth and computing resources to meet the maximum number of deadlines.
Jiaying Meng, Haisheng Tan, Chao Xu, Wanli Cao, Liuyan Liu, Bojie Li   +5 more
semanticscholar   +1 more source

Adaptive bandwidth reservation for multimedia computing

Proceedings Sixth International Conference on Real-Time Computing Systems and Applications. RTCSA'99 (Cat. No.PR00306), 2003
In this paper we present a framework for dynamically allocating the CPU resource to tasks whose execution times are not known a priori. Tasks are partitioned in three classes: the ones that require a uniform execution but do not impose any temporal constraint, periodic tasks that operate on continuous media, and event driven tasks that respond to ...
Abeni, Luca, GIORGIO BUTTAZZO
openaire   +3 more sources

Joint Task Offloading and Resource Allocation for Energy-Constrained Mobile Edge Computing

IEEE Transactions on Mobile Computing, 2023
We consider the problem of task offloading and resource allocation in mobile edge computing (MEC). To maintain satisfactory quality of experience (QoE) of end-users, mobile devices (MDs) may offload their tasks to edge servers based on the allocated ...
Hongbo Jiang, Xingxia Dai, Zhu Xiao, A. Iyengar   +3 more
semanticscholar   +1 more source

Bandwidth-Efficient Live Video Analytics for Drones Via Edge Computing

IFIP International Information Security Conference, 2018
Real-time video analytics on small autonomous drones poses several difficult challenges at the intersection of wireless bandwidth, processing capacity, energy consumption, result accuracy, and timeliness of results.
Junjue Wang, Ziqiang Feng, Zhuo Chen, S. George, Mihir Bala, Padmanabhan Pillai, Shao-Wen Yang, M. Satyanarayanan   +7 more
semanticscholar   +1 more source

Asynchronous Deep Reinforcement Learning for Collaborative Task Computing and On-Demand Resource Allocation in Vehicular Edge Computing

IEEE transactions on intelligent transportation systems (Print), 2023
Vehicular Edge Computing (VEC) is enjoying a surge in research interest due to the remarkable potential to reduce response delay and alleviate bandwidth pressure.
Lei Liu, Jie Feng, Xuanyu Mu, Qingqi Pei, Dapeng Lan, Ming Xiao   +5 more
semanticscholar   +1 more source

Tree Computation for Reserved Bandwidth Traffic

Journal of High Speed Networks, 1994
With the deployment of broadband integrated services networks, multipoint applications are likely to be developed on digital networks. Many, if not all, of these applications will benefit from network support for quality of service requirements, which can be readily provided if the network supports reserved bandwidth multipoint communication channels ...
Verma, Dinesh C., Gopal, P. M.
openaire   +1 more source