Implementation of compressed JSON for Cloud API calls

  • Unique Paper ID: 143822
  • Volume: 3
  • Issue: 2
  • PageNo: 149-155
  • Abstract:
  • With the option of sharing resources and storing database over the internet at different data centers, cloud has been viewed as one of the most imperative model for cost reduction and increasing economy for various enterprises. Efficient methods for structuring and formatting the data are imperative for managing and mitigating data traffic between and within cloud environments to avoid excessive bandwidth cost and to ensure interoperability. This provides better communication which is quintessential for interoperable cloud deployments. The existing data interchange formats for structuring and serializing data have not yet been analyzed in terms of efficient performance. Thus to address this issue, it is imperative to determine an appropriate data interchange format for cloud. In this paper, we have shown the performance analysis of data interchange format to assess their performance in terms of their usability in realizing a common messaging format for communicating data in Clouds. Firstly, we have explained the characteristics of each data format for clear understanding. To analyze the performance of mediation services or data interchange formats we have performed load testing in these services. Also, we have chosen a security service or an encryption technique for these mediation services which is a basic requirement to encrypt the data. It has been found that, the Optimized or Compressed JSON esteem acquired from serialization and compressed technique demonstrates an efficient mediation services for cloud API calls when contrasted with other data interchange formats. The test results in efficient mediation services which are comprehensive and have notable impact on the rate at which data is transmitted with improved performance.

Cite This Article

  • ISSN: 2349-6002
  • Volume: 3
  • Issue: 2
  • PageNo: 149-155

Implementation of compressed JSON for Cloud API calls

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