International Journal of Trend in Scientific Research and Development

I O operations in UNIX and Linux systems typically go through the file system cache. Although this doesnt represent a problem in itself, this extra processing does require resources. Bypassing the file system cache reduces CPU requirements, and frees up the file system cache for other non database file operations. Operations against raw devices automatically bypass the file system cache. 

by Vijay Kumar Tiwari "IO Management in Oracle" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, 

URL: https://www.ijtsrd.com/papers/ijtsrd38276.pdf

Paper URL : https://www.ijtsrd.com/computer-science/database/38276/io-management-in-oracle/vijay-kumar-tiwari

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Oracle Database In Memory provides a unique dual format design that enables tables to be instantaneously represented in memory using traditional row format and a new in memory column format. The Oracle SQL Optimizer by design routes analytic queries to the column format and OLTP queries to the row format, transparently delivering best of both worlds performance. Oracle Database automatically maintains full transactional uniformity between the row and the column formats, just as it maintains uniformity between tables and indexes today. The new column format is a pure in memory format and is not persistent on disk, so there are no additional storage costs or storage synchronization issues. 

by Vijay Kumar Tiwari "Oracle in Memory Configuration" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, 

URL: https://www.ijtsrd.com/papers/ijtsrd38275.pdf

Paper URL : https://www.ijtsrd.com/computer-science/database/38275/oracle-in-memory-configuration/vijay-kumar-tiwari

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The grow pattern of cloud information portability prompted malignant information dangers that require utilizing information security procedures. Most cloud framework applications contain significant and classified information, for example, individual, exchange, or well being data. Perils like data could place the cloud structures that clasp these data at big risk. Not with standing, customary security arrangements are not equipped for taking care of the security of huge information versatility. The present security systems are inadequate for huge information because of their deficiency of deciding the information that thought to be ensured or because of their immovable time unpredictability. In this way, the interest for verifying portable enormous information has been expanding quickly to stay away from any potential dangers. This proposes an incorporated procedure to order and verify huge information before executing information versatility, duplication, and investigation. The need of verifying enormous information versatility is controlled by grouping the information as per the hazards way level of their substance into two classes secret and open. It is uncovered that the advanced way of thinking can from a general perspective redesign the cloud frameworks information adaptability. 

by Ashika S | Shrihari M R "Integrated Methodology for Big Data Categorizing & Improving Cloud System Data Portability with Security" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-5 , August 2020, 

URL: https://www.ijtsrd.com/papers/ijtsrd31713.pdf 

Paper Url :https://www.ijtsrd.com/computer-science/database/31713/integrated-methodology-for-big-data-categorizing-and-improving-cloud-system-data-portability-with-security/ashika-s

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