DoSP: A Deadline-Aware Dynamic Service Placement Algorithm for Workflow-Oriented IoT Applications in Fog-Cloud Computing Environments

2021 ◽  
pp. 21-47
Author(s):  
Meeniga Sriraghavendra ◽  
Priyanka Chawla ◽  
Huaming Wu ◽  
Sukhpal Singh Gill ◽  
Rajkumar Buyya
Keyword(s):  
Cloud Computing ◽  
Iot Applications ◽  
Service Placement ◽  
Computing Environments ◽  
Placement Algorithm

Challenges and Cloud Computing Environments Towards Big Data

2014 ◽  
pp. 203-208
Author(s):  
Kiran Kumar S V N Madupu
Keyword(s):  
Data Mining ◽  
Cloud Computing ◽  
Big Data ◽  
Technology Development ◽  
Computing Environments ◽  
Modern Technologies

Big Data has terrific influence on scientific discoveries and also value development. This paper presents approaches in data mining and modern technologies in Big Data. Difficulties of data mining as well as data mining with big data are discussed. Some technology development of data mining as well as data mining with big data are additionally presented.

scholarly journals Cross-VM Network Channel Attacks and Countermeasures within Cloud Computing Environments

2020 ◽  
pp. 1-1
Author(s):  
Atif Saeed ◽  
Syed Asad Hussain ◽  
Peter Garraghan
Keyword(s):  
Cloud Computing ◽  
Computing Environments ◽  
Network Channel

Virtualized Resource Scheduling in Cloud Computing Environments: An Review

2020 ◽  
Author(s):  
Jianpeng Lin ◽  
Delong Cui ◽  
Zhiping Peng ◽  
Qirui Li ◽  
Jieguang He ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Resource Scheduling ◽  
Computing Environments

scholarly journals Flexible computation offloading in a fuzzy-based mobile edge orchestrator for IoT applications

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
VanDung Nguyen ◽  
Tran Trong Khanh ◽  
Tri D. T. Nguyen ◽  
Choong Seon Hong ◽  
Eui-Nam Huh
Keyword(s):  
Cloud Computing ◽  
Augmented Reality ◽  
Mobile Devices ◽  
Computing System ◽  
Mobile User ◽  
Computation Offloading ◽  
Context Aware ◽  
Computing Systems ◽  
Iot Applications ◽  
Service Times

AbstractIn the Internet of Things (IoT) era, the capacity-limited Internet and uncontrollable service delays for various new applications, such as video streaming analysis and augmented reality, are challenges. Cloud computing systems, also known as a solution that offloads energy-consuming computation of IoT applications to a cloud server, cannot meet the delay-sensitive and context-aware service requirements. To address this issue, an edge computing system provides timely and context-aware services by bringing the computations and storage closer to the user. The dynamic flow of requests that can be efficiently processed is a significant challenge for edge and cloud computing systems. To improve the performance of IoT systems, the mobile edge orchestrator (MEO), which is an application placement controller, was designed by integrating end mobile devices with edge and cloud computing systems. In this paper, we propose a flexible computation offloading method in a fuzzy-based MEO for IoT applications in order to improve the efficiency in computational resource management. Considering the network, computation resources, and task requirements, a fuzzy-based MEO allows edge workload orchestration actions to decide whether to offload a mobile user to local edge, neighboring edge, or cloud servers. Additionally, increasing packet sizes will affect the failed-task ratio when the number of mobile devices increases. To reduce failed tasks because of transmission collisions and to improve service times for time-critical tasks, we define a new input crisp value, and a new output decision for a fuzzy-based MEO. Using the EdgeCloudSim simulator, we evaluate our proposal with four benchmark algorithms in augmented reality, healthcare, compute-intensive, and infotainment applications. Simulation results show that our proposal provides better results in terms of WLAN delay, service times, the number of failed tasks, and VM utilization.

Peer-to-peer service provisioning in cloud computing environments

2011 ◽  
Vol 65 (1) ◽  
pp. 154-184 ◽  
Author(s):  
Rajiv Ranjan ◽  
Liang Zhao
Keyword(s):  
Cloud Computing ◽  
Peer To Peer ◽  
Service Provisioning ◽  
Computing Environments
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