Cross Domain Data Retrieval Challenges and Solutions in Heterogeneous Cloud Computing

Muddham Nirmala; Dr. Anant Singh

doi:10.62643/

Authors

Muddham Nirmala Research Scholar , Vikrant university Gwalior, Madhya Pradesh Author
Dr. Anant Singh Research Supervisor , Vikrant university Gwalior, Madhya Pradesh Author

DOI:

https://doi.org/10.62643/

Keywords:

Heterogeneous Cloud Computing, Cross Domain Data Retrieval, Information Retrieval, Cloud Interoperability, Data Integration, Semantic Technologies

Abstract

Het
erogeneous environment of cloud computing encompasses integration of various cloud
environments, data formats, service models and domains which include medical care, education,
finance and scientific research. Although it enhances scalability and data reso urce sharing, cross
domain data retrieval becomes also a significant issue as a result of such an integration. Variations in
data formats, security policies, metadata standards as well as system architectures complicate and
complicate efficient retrieva l a nd thus make the process time consuming. The paper talks about the
key issues related to the cross domain data retrieval on the heterogeneous environment of the cloud
and lists the suggestions describing the solutions which have been offered by researchers . The
proposed study also presents a conceptual framework that integrates semantic interoperability,
intelligent indexing, and secure access policies to enhance the retrieval effectiveness and potentiality
as well as reliability among various cloud domains

Author Biography

Muddham Nirmala, Research Scholar , Vikrant university Gwalior, Madhya Pradesh

Het
erogeneous environment of cloud computing encompasses integration of various cloud
environments, data formats, service models and domains which include medical care, education,
finance and scientific research. Although it enhances scalability and data reso urce sharing, cross
domain data retrieval becomes also a significant issue as a result of such an integration. Variations in
data formats, security policies, metadata standards as well as system architectures complicate and
complicate efficient retrieva l a nd thus make the process time consuming. The paper talks about the
key issues related to the cross domain data retrieval on the heterogeneous environment of the cloud
and lists the suggestions describing the solutions which have been offered by researchers . The
proposed study also presents a conceptual framework that integrates semantic interoperability,
intelligent indexing, and secure access policies to enhance the retrieval effectiveness and potentiality
as well as reliability among various cloud domains