Analysis of Technique and Management Requirements in Cloud Computing Process

2013 ◽  
Author(s):  
Bin Zhang ◽  
Kaiguo Yuan ◽  
Jinghui Duan ◽  
Ling Tong
Keyword(s):  
Cloud Computing ◽  
Computing Process ◽  
Analysis Of Technique

A Two-Layer Hybrid Trust Mechanism Based on Agent Trust

2014 ◽  
Vol 701-702 ◽  
pp. 923-926
Author(s):  
Jian Wei Ye ◽  
Xu Lu Jiao ◽  
Zhi Kai Xu
Keyword(s):  
Cloud Computing ◽  
Resource Sharing ◽  
Computing Environment ◽  
Trust Mechanism ◽  
Cloud Computing Environment ◽  
Cloud Computing Security ◽  
Trust Relationship ◽  
Computing Process ◽  
Secure Computing ◽  
Model Cloud

Trust is the foundation of all kinds of Internet activity. As a more open resource sharing model, cloud computing environment consists of mass resource owners and users belonged to different control domain. Therefore, the establishment of the trust relationship among the participants and the guarantee of security and efficiency in the computing process are one of the most fundamental problems of cloud computing security. This paper proposes a two-Layer hybrid trust mechanism based on agent trust. In my proposition, trust relationship is relayed and secure computing environment is established among the different participants by the various existing trust methods.

scholarly journals Novel Dynamic Scaling (NDS) Algorithm to Balance Energy Level in Eiot For Efficient Cloud Computing Process

2021 ◽  
Author(s):  
M Vinoth Kumar ◽  
R Saravana Ram ◽  
Mohamed Abouhawwash ◽  
Yunyoung Nam ◽  
Venkatachalam K ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Energy Consumption ◽  
Energy Level ◽  
Processing Speed ◽  
Minimum Energy ◽  
Cloud Services ◽  
Dynamic Scaling ◽  
It Services ◽  
Cloud Infrastructure ◽  
Computing Process

Abstract The cloud computing is very efficient platform for storing and processing huge data applications. IoT, Edge computing models helps the cloud infrastructure for processing data with less network latencies, efficient data processing with minimum energy consumption for better infrastructure. More researches on cloud computing process makes them matured in providing best services to the users. Also IT services on cloud have developed rapidly. The different cloud services have different energy level with is memory, processing speed, bandwidth and system capability. The users have different data and requirements to process their job. Process of finding the best resources with less energy consumption is main goal of our proposed article. The edge devices, IoT devices first focused to help cloud architecture. Edge and IoT are promising supportive technology to address the NP hard problems like less latency and consume less energy during data transfer. However, when the information and data are increasing in cloud, it’s very difficult to solve the energy consumption problem in heterogeneous cloud infrastructure. In our proposed work edge server clouds and central server clouds works collaboratively for reducing the energy consumption. in this article we implemented the novel dynamic speed (NDS) scaling algorithm . This NDS algorithm computes the workload of CPU for particular data application. The speed processor scaling is a methodology used for consuming less energy and gaining less rates. if processing speed is high then energy consumption will be higher vise versa if processing speed is low then energy consumption will be less. This ideology is developed using NDS algorithm in edge cloud devices to compute data using less energy. The proposed algorithm is compared with existing energy saving algorithms and its efficiency is better than other algorithms is evaluated.

Cloud-Computing: eHealth aus der Wolke

2018 ◽  
Vol 23 (11) ◽  
pp. 38-41
Author(s):  
Sebastian Krolop ◽  
Florian Benthin ◽  
Constanze Knahl
Keyword(s):  
Cloud Computing ◽  
Point Of Care

Cloud-Computing gewinnt auch in Kliniken zunehmend an Bedeutung. Über das Internet bereitgestellte Lösungen verändern nicht nur Verwaltung und Logistik – im klinischen Bereich geht es zum Beispiel um die Nutzung elektronischer Patientenakten am Point-of-Care.

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.

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