scholarly journals Designing High Availability Cluster Using Server Virtualization on Cloud Storage Services

Author(s):  
Ali Idrus

Cloud Storage Service at PT. Harrisma Globaltechnologies Jakarta has not been applied based on virtualization. The problem with cloud storage services in general is that the server is not able to serve a high number of requests as a result the cloud storage server fails. One of these problems is caused by inadequate server resources and less than optimal storage server management. These problems can be solved effectively and efficiently with server virtualization. Where server virtualization is managed by Proxmox. Proxmox is an open-source virtualization platform supported by KVM and OpenVZ hypervisors and can be managed with web-based graphics. Server virtualization collaboration can save server resources by duplicating server services virtually. The research methodology used is clustering by applying the concept of high-availability where there is a secondary server as a backup-server for the primary-server. The results of this study include three parameters, namely Throughput, Response Time, and CPU Usage. The results show that cloud storage servers that implement virtualization than those that do not apply with a difference in the value of the Throughput parameter of 1896.6 Kbps, the difference in the value of the Response Time parameter of 10.6 requests/second, and the difference in the value of the CPU Usage criteria of 11.91%

2020 ◽  
Vol 7 (3) ◽  
pp. 521
Author(s):  
Gandeva Bayu Satrya ◽  
A Ahmad Nasrullah

<p>Sistem penyimpanan melalui cloud memiliki banyak keunggulan, seperti kemampuan akses dari lokasi manapun serta kemudahan penyimpanan pencadangan file-file pada komputer dan smartphone. Terdapat banyak pilihan layanan penyimpanan melalui cloud, seperti Dropbox, Microsoft OneDrive, Google Drive, dan Box. Dari beberapa jenis layanan peyimpanan tersebut Box adalah satu-satunya layanan penyimpanan cloud yang mampu menjamin tingkat reliability uptime hingga 99.9%. Awalnnya, Box hanya ditujukan untuk kegiatan bisnis saja, namun sekarang Box dapat digunakan oleh pengguna secara umum. Selain memberikan pengaruh yang positif, pertumbuhan penggunaan teknologi layanan penyimpanan cloud juga telah memberikan peningkatan dalam peluang terjadinya kejahatan di dunia maya. Forensik digital merupakan solusi terbaru dalam mengamati keamanan sistem dan jaringan, sementara forensik bergerak adalah pengembangan forensic digital yang sepenuhnya difokuskan pada media smartphone. Forensik bergerak dapat dilakukan dalam dua sisi, yaitu server dan client. Studi kasus dalam penelitian ini berfokus pada penggunaan smartphone OS Android yang terinstal Box sebagai layanan penyimpanan cloud. Sedangkan tujuan utama dari penelitian ini adalah untuk menyediakan sebuah metode forensik bergerak untuk menemukan artefak pada smartphone Android yang telah terinstal dengan aplikasi Box.</p><p><em><strong>Abstract</strong></em></p><p class="Judul2"><em>Storing files in a cloud has many advantages, such as the ability to access them from any location and to keep backups of those files on computers and smartphones. There are many choices for cloud storage services, such as Dropbox, Microsoft OneDrive, Google Drive, and Box. Of these, Box is the only cloud storage service that guarantees uptime reliability 99.99% of the time. At first, Box was intended for business use only, but now it is also freely available for public use. Growth in cloud storage technology use has also resulted in increased opportunities for cybercrime to take place. Digital forensics is the latest solution for system and network security observers, while mobile forensics is a development of digital forensics that is fully focused on smartphone media. Mobile forensics can be performed on both the server and client sides. In this research, mobile forensics was performed on the client side. The case study in this paper focused on an Android operating system </em><em>(OS)</em><em> smartphone using Box cloud storage. The purpose of this study was to provide a mobile forensics method for finding artifacts on smartphones that have a Box application installed.</em></p><p><em><strong><br /></strong></em></p>


2021 ◽  
Author(s):  
DHAYA R ◽  
Kanthavel R

Abstract Artificial Intelligence (AI) systems are computational simulations that are "trained" using information and expert input to duplicate a professional's choice given the same data. Only using one private cloud storage service to store information can cause a variety of issues for the system administrator. Knowledge providers, scalability, efficiency, privacy, and the potential of vendor support are examples of such concerns. Distributing information across several cloud storage services, comparable to how data is dispersed between various physical disk drives to increase error detection and increase productivity, is a possible approach. Moreover, because multiple private cloud providers have varying pricing strategies and service quality, maximizing the efficiency and profitability of many cloud providers at the same time is difficult. Based on access permission behaviors, this study presents a methodology for dynamically modifying network management rules across several cloud providers. The goal of this research is to look into how to reduce both the estimated cost and delay periods for numerous cloud providers. The architecture was put into practice in a cloud storage systems emulator, which simulated the complexity and effectiveness of numerous cloud providers in a real-world context. In particular, the architecture was evaluated in a variety of cloud storage environments. The outcomes of the platform's testing revealed that many cloud methods were successful.


Author(s):  
Neha Thakur ◽  
Aman Kumar Sharma

Cloud computing has been envisioned as the definite and concerning solution to the rising storage costs of IT Enterprises. There are many cloud computing initiatives from IT giants such as Google, Amazon, Microsoft, IBM. Integrity monitoring is essential in cloud storage for the same reasons that data integrity is critical for any data centre. Data integrity is defined as the accuracy and consistency of stored data, in absence of any alteration to the data between two updates of a file or record.  In order to ensure the integrity and availability of data in Cloud and enforce the quality of cloud storage service, efficient methods that enable on-demand data correctness verification on behalf of cloud users have to be designed. To overcome data integrity problem, many techniques are proposed under different systems and security models. This paper will focus on some of the integrity proving techniques in detail along with their advantages and disadvantages.


2016 ◽  
Vol 24 (2) ◽  
pp. 57-74 ◽  
Author(s):  
Chen-Shu Wang ◽  
Cheng-Yu Lai ◽  
Shiang-Lin Lin

In recent year, mobile devices have become an indispensable product in our daily life. Extensive amount of mobile applications (Apps) have been developed and used on these devices. Restated, in terms of the Apps future development and popularization, to understand why people have willingness to pay for use certain Apps has apparently became an important issue. However, there are various homogeneity Apps, which people can easily find some free succedaneum for use. Consequently, it would be an interesting issue to realize individual's intention to pay for use the Apps. In this study, the authors conducted a survey in Taiwan to realize individuals' willingness to pay for Cloud Storage Service (CSS), since CSS is one of the frequently adopted App for most mobile device users. The results show that both the perceived service quality and conformity positively affect the perceived value and then increases the user's willingness to pay indirectly. In addition, the findings also support that the users' product knowledge about CSS produce negative moderating effects on the perceived value and the willingness of pay.


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