Online DAG Scheduling with On-Demand Function Configuration in Edge Computing

2019 ◽  
pp. 213-224 ◽  
Author(s):  
Liuyan Liu ◽  
Haoqiang Huang ◽  
Haisheng Tan ◽  
Wanli Cao ◽  
Panlong Yang ◽  
...  
Keyword(s):  
Demand Function ◽  
Edge Computing ◽  
On Demand ◽  
Dag Scheduling

scholarly journals VIRTUAL CIRCUITS THAT MAY BE �PERMANENT� TO MAKE M-BANKING APPLICATION AS A SUCCESS BANDWIDTH MANAGEMENT IS AN IMPORTANT ISSUE FOR ANALYSING VARIABLE SIZED PACKETS AND FRAMES

2015 ◽  
Vol 1 (10) ◽  
pp. 376
Author(s):  
Bhubneshwar Sharma
Keyword(s):  
Data Exchange ◽  
Demand Function ◽  
Cost Effective ◽  
Wireless Atm ◽  
Handover Management ◽  
Bandwidth Management ◽  
Network Location ◽  
On Demand ◽  
Virtual Circuits ◽  
Bandwidth On Demand

ATM provides functionality that is similar to bothcircuit switchingandpacket switchingnetworks: ATM usesasynchronoustime-division multiplexing, and encodes data into small, fixed-sizedpackets(ISO-OSIframes) calledcells.This differs from approaches such as theInternet ProtocolorEthernetthat use variable sized packets and frames. ATM uses aconnection-orientedmodel in which avirtual circuitmust be established between two endpoints before the actual data exchange begins. These virtual circuits may be permanent To make m-banking application a success bandwidth management is an important issue. The increased flexibility and mobility feature of wireless ATM and its bandwidth on demand function is motivating a large number of carriers towards deployment of the WATM networks. But there are certain issues which are required to be addressed in WATM. The issues are cost effective planning of network, location management and handover management

scholarly journals Magnetoelectric micromachines with wirelessly controlled navigation and functionality

2016 ◽  
Vol 3 (2) ◽  
pp. 113-118 ◽  
Author(s):  
Xiang-Zhong Chen ◽  
Naveen Shamsudhin ◽  
Marcus Hoop ◽  
Roel Pieters ◽  
Erdem Siringil ◽  
...  
Keyword(s):  
Magnetic Field ◽  
Demand Function ◽  
On Demand

A magnetoelectric micromachine manipulated by magnetic field for both locomotion and on-demand function triggering enlighten the concept of unisource-powered microdevices.

An Overview of Cloud and Edge Computing Architecture and Its Current Issues and Challenges

2021 ◽  
pp. 2340-2370
Author(s):  
Guru Prasad Bhandari ◽  
Ratneshwer Gupta
Keyword(s):  
Cloud Computing ◽  
Edge Computing ◽  
Network Access ◽  
Computing Systems ◽  
Computing Architecture ◽  
Resource Pooling ◽  
Cloud Architecture ◽  
On Demand ◽  
Emerging Issues ◽  
Self Service

Edge computing is a technique of optimizing cloud computing systems by performing data processing at the edge of the network, near the source of the data in the systems. And, cloud computing is a service that delivers on-demand self-service, broad network access, resource pooling, rapid elasticity or expansion, which is trending in today's technology-driven world. With the advantage of flexibility, storage, sharing, and easy accessibility, cloud is being used by major players in IT (information technology). This chapter highlights cloud/edge computing architecture and its current issues and challenges from technological and organizational aspects. A brief introduction of edge computing architecture with similar technologies along with its service models is discussed. A few counterexamples of cloud computing architecture are showed. Organizational aspects of cloud computing architecture, as well as IBM and Oracle reference cloud architecture, are briefly presented. Some emerging issues and challenges associated with cloud/edge computing on its utilization are also elaborated.

scholarly journals Task Scheduling for Edge Computing with Agile VNFs On-Demand Service Model toward 5G and Beyond

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Chia-Wei Tseng ◽  
Fan-Hsun Tseng ◽  
Yao-Tsung Yang ◽  
Chien-Chang Liu ◽  
Li-Der Chou
Keyword(s):  
Rapid Development ◽  
Cloud Service ◽  
Edge Computing ◽  
Local Network ◽  
Service Model ◽  
Local Data ◽  
Network Bandwidth ◽  
On Demand ◽  
Network Connection ◽  
Demand Service

The demand for satisfying service requests, effectively allocating computing resources, and providing service on-demand application continuously increases along with the rapid development of the Internet. Edge computing is used to satisfy the low latency, network connection, and local data processing requirements and to alleviate the workload in the cloud. This paper proposes a gateway-based edge computing service model to reduce the latency of data transmission and the network bandwidth from and to the cloud. An on-demand computing resource allocation can be achieved by adjusting the task schedule of the edge gateway via the lightweight virtualization technology, Docker. The edge gateway can also process the service requests in the local network. The proposed edge computing service model not only eliminates the computation burden of the traditional cloud service model but also improves the operation efficiency of the edge computing nodes. This model can also be used for various innovation applications in the cloud-edge computing environment for 5G and beyond.

Design of an On-Demand Agile 5G Multi-Access Edge Computing Platform Using Aerial Vehicles

2020 ◽  
Vol 4 (4) ◽  
pp. 34-41
Author(s):  
Fabrizio Granelli ◽  
Cristina Costa ◽  
Jiajing Zhang ◽  
Riccardo Bassoli ◽  
Frank H.P. Fitzek
Keyword(s):  
Edge Computing ◽  
Computing Platform ◽  
On Demand ◽  
Aerial Vehicles ◽  
Multi Access

An Overview of Cloud and Edge Computing Architecture and Its Current Issues and Challenges

2019 ◽  
pp. 1-37 ◽  
Author(s):  
Guru Prasad Bhandari ◽  
Ratneshwer Gupta
Keyword(s):  
Cloud Computing ◽  
Edge Computing ◽  
Network Access ◽  
Computing Systems ◽  
Computing Architecture ◽  
Resource Pooling ◽  
Cloud Architecture ◽  
On Demand ◽  
Emerging Issues ◽  
Self Service

Edge computing is a technique of optimizing cloud computing systems by performing data processing at the edge of the network, near the source of the data in the systems. And, cloud computing is a service that delivers on-demand self-service, broad network access, resource pooling, rapid elasticity or expansion, which is trending in today's technology-driven world. With the advantage of flexibility, storage, sharing, and easy accessibility, cloud is being used by major players in IT (information technology). This chapter highlights cloud/edge computing architecture and its current issues and challenges from technological and organizational aspects. A brief introduction of edge computing architecture with similar technologies along with its service models is discussed. A few counterexamples of cloud computing architecture are showed. Organizational aspects of cloud computing architecture, as well as IBM and Oracle reference cloud architecture, are briefly presented. Some emerging issues and challenges associated with cloud/edge computing on its utilization are also elaborated.

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