Aditi Sharma

Bio: Aditi Sharma is an academic researcher from Jaypee Institute of Information Technology. The author has contributed to research in topics: Multitenancy & NoSQL. The author has an hindex of 1, co-authored 3 publications receiving 3 citations.

A Multitenant Data Store Using a Column Based NoSQL Database

Abstract: As the world is frantically moving towards digitization, handling huge volumes of data is becoming complex and difficult to optimize. This is mainly because of increasing dimensions of data, its unstructuredness and increased need for storage space. To increase the efficiency of the cloud environment, many service providers have moved towards multi-tenant architecture. In a multi-tenant architecture, a number of individual applications termed as tenants work under a shared environment. In such a scenario, it is imperative that data of one tenant be isolated from that of other tenants. Further, it is also desirable to optimize the use of storage space. With these considerations, this paper proposes a multi-tenant database architecture for applications using a column-based NoSQL data store. The architecture has been implemented with the NoSQL database, Cassandra.

TOSDS: Tenant-centric Object-based Software Defined Storage for Multitenant SaaS Applications

Abstract: Enormous amounts of unstructured data such as images, videos, emails, sensors’ data and documents of multiple types are being generated daily by varied applications. Apart from the challenges related to collection or processing of this data, its efficient storage is also a significant challenge since this data do not conform to any predefined storage model. Therefore, any enterprise dealing with huge unstructured data requires a scalable storage system that can provide data durability and availability at a low cost. The paper proposes a tenant-centric approach to develop an object-based software defined storage system for SaaS multi-tenant applications. We present TOSDS (Tenant-centric Object-based Software Defined Storage), a system that can efficiently meet the storage requirements of users or tenants with diverse needs who are using a multitenant SaaS application. The experimental verification of TOSDS illustrates its effectiveness in storage utilization as well as tenant isolation.

A Load Balancing Based Cost-Effective Multi-tenant Fault Tolerant System

Abstract: With every single day the data over the internet is growing exponentially and it is becoming the need of the hour to manage and store this immense data efficiently. The multi-tenant architecture techniques are becoming quite beneficial for handling large databases and so are the cloud-based services. Also, with the hasty increase in the number of users in health-based platforms over the internet, the growth of data stores over this category has become a major concern. This paper proposes a multi-tenant system that has been implemented using a column-based NoSQL database, Cassandra, and the useful features of the webservices. Another, major apprehension while handling such huge data is scalability, the ease of handling tenant’s enormous dynamic data. To solve this, the proposed solution uses an elastic load balancer that automatically distributes incoming application traffic across multiple targets, such as Amazon EC2 instances, containers, IP addresses, Lambda functions, and virtual appliances. Apart from this, there is also a need to tackle the software faults and system failures to ensure high availability of the system. This problem is handled by making the system fault-tolerant in the proposed multi-tenant architecture.

Intelligent Decision-Support System for Epidemiological Diagnostics. I. A Concept of Architecture Design

Abstract: The problems of decision support for epidemiological diagnostics are investigated. The basis for supporting decision-making is mathematical tools for analyzing morbidity data, as well as modeling of epidemic processes. The current state of research in this area is analyzed. The features of decision-making in epidemiology and public health are formalized. Principles for the development of an intelligent information system for decision-making support for epidemiological diagnostics are proposed. A systemic model of the system, a model of the interaction of elements of the epidemiological diagnostics system and the interaction of logical components of the information system has been developed. Taking into account the identified features of these processes, the concept of the architecture of such an intelligent information system is proposed.

TOSDS: Tenant-centric Object-based Software Defined Storage for Multitenant SaaS Applications

Abstract: Enormous amounts of unstructured data such as images, videos, emails, sensors’ data and documents of multiple types are being generated daily by varied applications. Apart from the challenges related to collection or processing of this data, its efficient storage is also a significant challenge since this data do not conform to any predefined storage model. Therefore, any enterprise dealing with huge unstructured data requires a scalable storage system that can provide data durability and availability at a low cost. The paper proposes a tenant-centric approach to develop an object-based software defined storage system for SaaS multi-tenant applications. We present TOSDS (Tenant-centric Object-based Software Defined Storage), a system that can efficiently meet the storage requirements of users or tenants with diverse needs who are using a multitenant SaaS application. The experimental verification of TOSDS illustrates its effectiveness in storage utilization as well as tenant isolation.

Handling Small Scale Indian Businesses using an ERP Solution

Abstract: An ERP software, also referred only as Enterprise Resource Planning System, has evolved into one of the most functional and beneficial deployments. ERPs are extremely capable of providing a robust institutional structure and streamlining the entire enterprise. ERPs had also grown in popularity well over previous couple years as a result to considerable cost reductions and better management of an organization’s entire commercial procedures. Because of the extensive and complete interconnection, ERP maintenance is an enormously expensive process, but that's why most of that has been concentrated on large enterprises. That's also why nearly every one of these innovative concepts have remained out of budget for small and medium enterprises. Owing to the increase expense of these innovations, plenty other academics were also banned from examining them and making extensive changes. As a consequence, an efficient way for developing a complete strategy to ERP for those relating to the administration of small to medium-sized businesses is necessary. In the next parts, this scientific study gives an effective technique that allows the management and employees to employ this programs to make transactions, manage management and employee information, check achievement graphs, and so on.

Overview of database evolution and elevation

Abstract: Nowadays, databases and managing databases is essential because as most of the applications deals with an integral part of user related data. For an organization database must be very crucial. As it deals with user current or stored records either structurally or unstructurally in order to retrieve the required records. Thus the need for a database is to manipulate data, store and identify data and finally to organize data in two ways namely schema based and schema less. This paper illustrates the need of database technology and its properties along with a transition path towards the track to origin of database with advantages and disadvantages, development and step forward to view the upcoming database with New Structured Query Language.