Notice Board :

Call for Paper
Vol. 6 Issue 9

Submission Start Date:
September 1, 2020

Acceptence Notification Start:
September 10, 2020

Submission End:
September 15, 2020

Final MenuScript Due:
September 25, 2020

Publication Date:
September 30, 2020


                         Notice Board: Call for PaperVol. 6 Issue 9      Submission Start Date: September 1, 2020      Acceptence Notification Start: September 10, 2020      Submission End: September 15, 2020      Final MenuScript Due: September 25, 2020      Publication Date: September 30, 2020




Volume V Issue II

Author Name
Madhuri Kaushal, Mohit Jain
Year Of Publication
2019
Volume and Issue
Volume 5 Issue 2
Abstract
Cloud computing is an interesting era of research, where motivation is to find out the best outcome and productive data security and sharing approach. Load balancing in public impair by way of division of cloud just right geographical position. Load balancing is frequently a strategy of controlling the visitors in a cloud atmosphere. Cloud requests hunt for assets for performance. The resources are quite often storage, processing, bandwidth, and many others. Allocation these belongings efficaciously to the entire competing jobs are named as load balancing. This paper will provide a comprehensive survey of cloud load balancing techniques. This paper also proposes an updated load balancing technique. This proposed technique uses the concept of hash map for effective allocation of virtual machines to user requests.
PaperID
2019/IJRRETAS/2/2019/38679

Author Name
Alok Aamle, Mohit Jain
Year Of Publication
2019
Volume and Issue
Volume 5 Issue 2
Abstract
The destination image branding is the domain of tourism industry where the facts and information is collected and evaluated for finding the credibility of a target tourist destination. Manual collection and processing of collected information accurately is a complicated and time consuming task therefore a data mining model is suggested in this presented work that collect and evaluate the destination image accurately and based on evaluation can make the recommendations about visits of tourist. In order to perform this task data mining techniques are applied on text data source. In first the data is extracted from the Google search engine and it is preprocessed for make it impure.
PaperID
2019/IJRRETAS/2/2019/38680

除此之外粉嫩公主酒酿蛋,最重要的还是粉嫩公主酒酿蛋一直秉承“自然、健康、安全”的丰胸理念丰胸产品,根据中国女性的身体特点,经过多年研究,食用粉嫩公主酒酿蛋的同时丰胸效果,可以辅以简单的按摩手法,舒经活络,有效成分瞬间渗透、快速吸收,深度改善胸部血液循环丰胸方法