Dr Niraja Jain
@mituniversity.ac.in
Director - Internal Quality Assurance Cell (IQAC)
MIT ADT University Pune
RESEARCH, TEACHING, or OTHER INTERESTS
Computer Engineering, Information Systems and Management, Artificial Intelligence, General Decision Sciences
Scopus Publications
Scholar Citations
Scholar h-index
Scopus Publications
Niraja Jain, B. Raghu, and V. Khanaa
Springer Singapore
Niraja Jain, B Raghu, and V Khanna
IEEE
The paper work is mainly focussing on query optimization of database on cloud computing environment. We are also taking care of implementation of such cloud databases on public as well as private cloud system. During the research of this topic, after going through various literatures available, we found that resource allocation on private cloud and public cloud is really a challenging one and also working on cloud databases for optimization on NoSQL Databases through various cluster will be a new concepts of implementation and we wish to see their real-time results based on various operation.
Niraja Jain, A V Deshpande, B Raghu, and V Khanaa
IEEE
‘Utility computing’ was the concept introduced by John McCarthy in 1961 in a speech given at MIT. He proposed that sharing the computing power on a time-sharing basis will help grow business of ‘providing computing power as an utility’ and this was the inception of the cloud computing. Cloud computing can deliver the best to the end users either through the private, public or hybrid cloud infrastructures. As the databases are of significance importance, it is a mandate that they ought to be designed compatible to the rising cloud technology. Cloud computing has changed the face of the IT industry. But in the current scenario there are many database issues that are not addressed. With tremendous data growth, the need for the paradigm shift in the technology to be used to store, manage and retrieve data is awaited. Databases have changed from file storages to relational databases and further transformed to today's cloud databases. Still the need to process the query efficiently without losing the data privacy had been the topmost priority. The resource optimization and query dynamism are the major unchanged aspects in this changing scenario. The timing constraints on the query execution could be leisurely, indefinite, urgent or instantaneous. In almost all the scenarios, the effective storage, elastic manipulation and efficient data retrieval is the key.
Niraja Jain
IEEE
Databases are the core of all the business services that are offered online. Cloud computing has drastically changed the way these online services are being offered. Hence it is of significance importance that the databases need to be compatible with cloud computing. The data is growing enormously with every passing day. With the paradigm shift in the technology used to store, manage and retrieve the data from file storage to relational databases to today's cloud databases, the need to process the query efficiently while preserving the privacy had always been the priority. The dynamism of the query and the optimization of the resources used for query execution are the aspects that doesn't change in any situation. The timing constraint on the query execution could be either instantaneous, urgent, leisurly or indefinite. But in almost all the scenarios the effective storage, manipulation and data retrieval is the key. While retrieving the data stored in cloud, privacy preservation is of utmost importance. To improve query efficiency in cloud with preserving the privacy can be achieved by introducing dataflow optimization techniques and defining data descriptor based algorithms.