Facebook MySQL Performance vs MySQL Performance

Dawodi, Mursal; Hedayati, Mohammad; Baktash, Jawid Ahmad; Erfan, Abdul Latif

doi:10.1109/iemcon.2019.8936259

Cited by 14 publications

(6 citation statements)

References 3 publications

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“…The socio-demographic and economic profiles of farmers from the gathered data in the first component study are stored in MySQL databases such as educational qualification, land tenure status, income, and preferred farming method [6]- [10]. Also included in the database are data about the nutrient and soil fertility status of different agricultural land areas and the crop suitability of soil in different municipalities of Samar.…”

Section: Datamentioning

confidence: 99%

Development of geo-referenced agricultural map and management information system for Samar Island

Sabate

Labrador

2022

IJEECS

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This study focuses <span>on the developed web-based information system which allows <a name="_Hlk100824864"></a>local government unit (LGU) in Samar Island and other agricultural sectors to have access to updated farmers’ information and the soil nutrient, soil fertility status, and the crop suitability of soil in the different municipalities of Samar. Geo-referenced agricultural map and management system can be an important tool for both operational and policy levels by accelerating the supply of up-to-date data, supporting the implementation of different types of projects targeting objectives such as municipal development, regional economic development, agricultural development, sustainable resource management, good governance, and many others. The management information system was developed using MySQL. The server-side language used in this study was PHP and the client-side language used was hypertext markup language (HTML). The map was created using Mapbox GL JS, then, geo-referenced map layers are saved to the local server as an array map for direct access via the front-end web application. With the use of the system, LGU in Samar Island and other agricultural sectors can implement project more efficiently because farmers’ information and the nutrient capacity of the soil is readily available.</span>

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Section: Datamentioning

confidence: 99%

Development of geo-referenced agricultural map and management information system for Samar Island

Sabate

Labrador

2022

IJEECS

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“…Most of the client application programs, including big data applications executing on cloud computing environment, perform read operations and only a few client application programs perform write operations on the DFS [3] [4] [5] [6]. There are many applications that require a large number of reads.…”

Section: Introductionmentioning

confidence: 99%

Efficient Prefetching and Client-Side Caching Algorithms for Improving the Performance of Read Operations in Distributed File Systems

2022

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Modern web applications are deployed in cloud computing systems because they support unlimited storage and computing power. One of the main back-end storage components of this cloud computing system is the distributed file system which allows massive amounts of data to be stored and accessed. In most web applications deployed in such systems, read operations are performed more frequently than write operations. Consequently, increasing the efficiency of read operations in distributed file systems is a challenging and important research problem. The two main procedures used in distributed file systems to improve the performance of read operations are prefetching and caching. In this paper, we proposed novel prefetching and multi-level caching algorithms based on the Access-Frequency and Access-Recency ranking of file blocks that were previously accessed by client application programs. We also proposed new augmented ranking algorithms for prefetching file blocks by combining the Access-Frequency and Access-Recency ranking of the file blocks. We used rank-based replacement algorithms to replace file blocks in the cache. The simulation results show that, the proposed algorithms improve the performance of read operations on distributed file systems by 29% to 77% in comparison to algorithms proposed in the literature.

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“…My structured query language was developed, distributed, and supported by Oracle Corporation and runs as a server that uses SQL as a query language to provide multi-user access to several databases (Dawodi et al, 2019;Eyada et al, 2020;Raj & D'Souza, 2020;Sholichah et al, 2020). It was used as a backend database because of its encryption and decryption functions, speed, scalability, high performance, accessibility, platform independence, reliability, robustness, easy configuration, and backup and recovery utilities (Dawodi et al, 2019;Raj & D'Souza, 2020;Sadeq et al, 2020;Eyada et al, 2020;Vyas & Virparia, 2021). It also provides large-scale data sharing, has low implementation costs, and maintains data consistency (Zhang et al, 2016;Ongo & Kusuma, 2018).…”

Section: My Structured Query Language (Mysql)mentioning

confidence: 99%

Development of a secure multi-factor authentication algorithm for mobile money applications

Guma¹

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With the evolution of industry 4.0, financial technologies have become paramount and mobile money as one of the financial technologies has immensely contributed to improving financial inclusion among the unbanked population. Several mobile money schemes were developed but, they suffered severe authentication security challenges since they implemented two-factor authentication. This study focused on developing a secure multi-factor authentication (MFA) algorithm for mobile money applications. It uses personal identification numbers, one-time passwords, biometric fingerprints, and quick response codes to authenticate and authorize mobile money subscribers. Secure hash algorithm-256, Rivest-Shamir-Adleman encryption, and Fernet encryption were used to secure the authentication factors, confidential financial information and data before transmission to the remote databases. A literature review, survey, evolutionary prototyping model, and heuristic evaluation and usability testing methods were used to identify authentication issues, develop prototypes of native genuine mobile money (G-MoMo) applications, and identify usability issues with the interface designs and ascertain their usability, respectively. The results of the review grouped the threat models into attacks against privacy, authentication, confidentiality, integrity, and availability. The survey identified authentication attacks, identity theft, phishing attacks, and PIN sharing as the key mobile money systems’ security issues. The researcher designed a secure MFA algorithm for mobile money applications and developed three native G-MoMo applications to implement the designed algorithm to prove the feasibility of the algorithm and that it provided robust security. The algorithm was resilient to non-repudiation, ensured strong authentication security, data confidentiality, integrity, privacy, and user anonymity, was highly effective against several attacks but had high communication overhead and computational costs. Nevertheless, the heuristic evaluation results showed that the G-MoMo applications’ interface designs lacked forward navigation buttons, uniformity in the applications’ menu titles, search fields, actions needed for recovery, and help and documentation. Similarly, the usability testing revealed that they were easy to learn, effective, efficient, memorable, with few errors, subscriber satisfaction, easy to use, aesthetic, easy to integrate, and understandable. Implementing a secure mobile money authentication and authorisation by combining multiple factors which are securely stored helps mobile money subscribers and other stakeholders to have trust in the developed native G-MoMo applications.

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Facebook MySQL Performance vs MySQL Performance

Cited by 14 publications

References 3 publications

Development of geo-referenced agricultural map and management information system for Samar Island

Development of geo-referenced agricultural map and management information system for Samar Island

Efficient Prefetching and Client-Side Caching Algorithms for Improving the Performance of Read Operations in Distributed File Systems

Development of a secure multi-factor authentication algorithm for mobile money applications

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