Cost-Efficient Data Redundancy in the Cloud

2016 ◽  
Author(s):  
Philipp Waibel ◽  
Christoph Hochreiner ◽  
Stefan Schulte
Keyword(s):  
Data Redundancy ◽  
Efficient Data ◽  
Cost Efficient

scholarly journals Cost-efficient data acquisition on online data marketplaces for correlation analysis

2018 ◽  
Vol 12 (4) ◽  
pp. 362-375 ◽  
Author(s):  
Yanying Li ◽  
Haipei Sun ◽  
Boxiang Dong ◽  
Hui (Wendy) Wang
Keyword(s):  
Correlation Analysis ◽  
Data Acquisition ◽  
Online Data ◽  
Efficient Data ◽  
Cost Efficient

scholarly journals Performance analysis of time and cost efficient data pre-fetching in mobile cloud computing

2021 ◽  
Author(s):  
Kaveh Khorramnejad ◽  
Alagan Anpalagan ◽  
Ling Guan
Keyword(s):  
Response Time ◽  
Processing Speed ◽  
Mobile Cloud Computing ◽  
Scheduling Model ◽  
Total Response Time ◽  
Wide Range ◽  
Workload Scheduling ◽  
Efficient Data ◽  
Cost Efficient ◽  
The Cost

Recently, many methods and algorithms have been proposed in pre-fetching area. However, pre-fetching integrated with workload scheduling approaches have not been investigated as much. Initially, this thesis reviews the principles of the existing pre-fetching strategies considering latency and cost factor as primary objectives. Later, it focuses on an integrated workload scheduling and pre-fetching model to enhance the performance of response time and minimize the cost. Furthermore, response time and cost problems are formulated and to overcome the total response time and cost problems a heuristic approach is proposed. Integrated model is tested for wide range of variables and, the effects of various parameters such as processing speed and pre-fetcher’s utilization are analysed and compared. Finally, based on the results integrated pre-fetching and workload scheduling model outperforms either of them, individually. Thus, this thesis can contribute to the the new solutions in this area.

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