Accelerated Service Oriented Architecture Implementation of Deduplication Principle

Abstract

The phrase "Web Services (WSs)" are emerging as a creative scheme for furnishing the services to various immanent devices over the World Wide Web. The hasty intensification of the WSs applications and the availability of the vast count of the Service Providers create the certainty of selecting the "efficient" Service Provider by the consumers. The scenario Deduplication and Quality-of-Service (QoS) swears out as an objective to distinguish various Service Providers (SPs). The process of selecting proficient WSs / SPs, positioning and optimization of WSs Compositions are exigent dimensions of research with momentous entailments for the fruition of the "Web of Services" revelation. The term "Semantic WSs" follows appropriate semantic descriptions of WS functionality and a medium to facilitate programmed cogitating over WS Compositions (WSCs). The persisting model of the Semantic Web Services (SWSs) deals with the intriguing emerges like wretched forecast of best WSs and gemination of services with effective SPs, which heads to Quality level degradation on the Semantic Web. To deal the above identified issues, the anticipated research is planned to construct a model to manipulative the content similarities (semantic), consumption of a mixture of WSs and its corresponding SPs. After assessing these params, all the WSs are stratified on the basis of its consumption. Ultimately, the nominated scheme, selects the best and non duplicated copy of the WSs on the basis of its rating and placed it in the WSC. The process of detecting the duplicate copy would be performed by the Cryptographic Hash value of the Services. From the experimental annotations, it is recognized that our anticipated design amends the functionality of the SWSs in terms of Processor Utilization, Accessing Time, and its Space optimizations.

Reversed audio file content subset identification over existing files using the deduplication technique

“…Only when both verifications are successful is the audio content declared a master or subset file. To further enhance our proposed approach, we can consider incorporating support for a service-oriented architecture, as suggested by K. Venkatesh et al (2019). The visual representation of audio patterns is depicted in Figure 2.…”

“…MLPD (Multi-Layer Protection with Deduplication), as introduced by Venkatesh & Narasimhan et al ( 2022) presents an innovative technique for safeguarding audio files during transmission over public networks, offering enhanced security and deduplication capabilities. Service Oriented Architecture (SOA), as discussed by Venkatesh et al (2019), can play a valuable role in implementing deduplication principles, enabling the identification and elimination of duplicate data across multiple applications, as highlighted by Shanthakumari et al (2021). In their work, Baloch et al (2021) provide insights into variations in audio quality among compressed audio file formats, albeit focusing on a limited range of formats like OGG and WAV.…”