scholarly journals INTELLIGENT GRID DATA MANAGEMENT IN CLOUD COMPUTING ENVIRONMENT

2016 ◽  
Vol 05 (17) ◽  
pp. 38-44
Author(s):  
B. Mallikarjuna .
Keyword(s):  
Cloud Computing ◽  
Data Management ◽  
Computing Environment ◽  
Grid Data ◽  
Cloud Computing Environment

scholarly journals Survey and analysis of cloud data management and security

2020 ◽  
Vol 5 (17) ◽  
pp. 6-10
Author(s):  
Md. Farooque ◽  
Kailash Patidar ◽  
Rishi Kushwah ◽  
Gaurav Saxena
Keyword(s):  
Cloud Computing ◽  
Data Management ◽  
Data Sharing ◽  
Meta Analysis ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Cloud Data ◽  
Data Control ◽  
Traditional Approaches ◽  
Cloud Data Management

This paper explores different security aspects in cloud computing environment. It includes data sharing mechanism, inter cloud communication, data breaches, data control, user-cloud relationship along with the cloud data management with standard security algorithms. It also covers the related reviews and analytical analysis on the traditional approaches for the gap identification. So, a short meta-analysis has been presented based on the method discussed along with the advantages and challenges found. It also explores the future prospective where there is the need of exploration and research.

Workflow Scheduling for Scientific Application in Homogeneous Cloud Environment

2017 ◽  
Vol 7 (7) ◽  
pp. 137
Author(s):  
. Monika ◽  
Pardeep Kumar ◽  
Sanjay Tyagi
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Large Data ◽  
Workflow Scheduling ◽  
Cloud Environment ◽  
Computing Environment ◽  
Scientific Application ◽  
Cloud Computing Environment ◽  
Flow Of Information

In Cloud computing environment QoS i.e. Quality-of-Service and cost is the key element that to be take care of. As, today in the era of big data, the data must be handled properly while satisfying the request. In such case, while handling request of large data or for scientific applications request, flow of information must be sustained. In this paper, a brief introduction of workflow scheduling is given and also a detailed survey of various scheduling algorithms is performed using various parameter.

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