Multi Tenancy Research Articles

An Innovative Proposal for Secure Cloud Authentication using Encrypted Biometric Authentication Scheme

Background/Objectives: Cloud computing has been emerging technology in recent years. But security is the main concern for the user not to accepting the cloud computing systems. Among them lack of trust and multi tenancy are the major issues, altogether comes under authentication problem Methods/Statistical Analysis: These problems are mainly in third party management model and self managed models as well. In order to overcome such tribulations Biometric is the major concern. Even in biometric research group is very much concentrating on security of biometric templates. For the security of biometric template, The two encryption algorithms such as AES, RSA have been imposed on templates. Findings: The biometric template will be safe in transit and storage as well in both cloud consumer and cloud provider side to improve the reliability of cloud. Applications/Improvements: If such approach has been adopted then confidence regarding the usage of cloud will be greater than before.

Framework using Multitenancy Architecture in Cloud Computing

As we all know Cloud computing is an emerging field in the world of computation and security of the data must be confined over the network. There are some security issues occurring while using services over the cloud and stress of our study is the multi-tenancy issue. Many organizations nowadays are looking for improving security while sharing resources, application etc. on same hardware and same software by implementing multi-factor authentication i.e. authentication requiring more than one independent mechanism to prove one’s identity like Onetime passwords. We describe how cloud computing can address these issues. Our approach is based on a flexible framework for supporting authentication with multi tenancy architecture. For that, we proposed a framework using multitenant architecture for secure cloud computing environment that secure our data over the cloud and support multi-tenancy nature with the help of OTP.

Application Multi-Tenancy for Software as a Service

Software as a service has evolved as a new software deployment paradigm in the cloud, which offers information technology services dynamically, "on-demand". Application Multi-tenancy in SaaS leads to improved resource utilization and reduces overall application costs by sharing the same applications, resources and data services through multiple tenants. In this paper a graph-based approach called SaaS Level Application Multi Tenancy graph is proposed to represent the multi-tenant aspects of the SaaS model of cloud environment formally. The proposed approach will facilitate the analysis of service interaction paths for accessing shared sets of services in SaaS by the multiple tenants. The proposed approach is capable enough to model several kinds of tenant like isolated tenant, shared tenants with single or multiple data services and multiple tenants in SaaS. Further, several metrics are defined for the proposed approach to describe the essential features of multi-tenant SaaS applications. The expressiveness of the proposed approach is illustrated using several examples and a detailed case study.

Relative Performance Analysis of Major Virtual Machine Monitor in Cloud Computing

Cloud Computing uses various virtualization technologies. A virtual machine monitor (VMM) is a piece of that computer software, firmware or hardware that creates and runs virtual machines which makes multi-tenancy possible which is also known as hypervisor. A virtualized system allows multi-tenancy. Multi-tenancy allows multiple tenants to coexist in the same physical machine sharing its resources and at the same time, creates an isolated environment for each of them. Cloud service providers (CSP) uses this technology to maximize their infrastructures using this architecture by allocating resources from physical machines that are not being fully used. Multi tenancy can be obtained by virtualization. The main objective of this study is to deliver concept of virtualization, VMM along with the performance comparison of some common virtualization technologies using many benchmarks which is chosen as it gives a good idea how the hypervisor’s performance is. First method of comparison chosen is features comparison, further those virtualization techniques are technically compared along with data compression and decompression speed, File I/O benchmark, CPU benchmark sequential read-write performance, memory and cache performance and Network speed performance of the VMs running at the top of the virtualized layer is studied, ultimately concludes giving an overall guideline to choose a wise hypervisor depending upon the purpose.

Extending multi-tenant architectures: a database model for a multi-target support in SaaS applications

Multi-tenant architectures (MTAs) are considered a cornerstone in the success of Software as a Service as a new application distribution formula. Multi-tenancy allows multiple customers (i.e. tenants) to be consolidated into the same operational system. This way, tenants run and share the same application instance as well as costs, which are significantly reduced. Functional needs vary from one tenant to another; either companies from different sectors run different types of applications or, although deploying the same functionality, they do differ in the extent of their complexity. In any case, MTA leaves one major concern regarding the companies’ data, their privacy and security, which requires special attention to the data layer. In this article, we propose an extended data model that enhances traditional MTAs in respect of this concern. This extension – called multi-target – allows MT applications to host, manage and serve multiple functionalities within the same multi-tenant (MT) environment. The practical deployment of this approach will allow SaaS vendors to target multiple markets or address different levels of functional complexity and yet commercialise just one single MT application. The applicability of the approach is demonstrated via a case study of a real multi-tenancy multi-target (MT2) implementation, called Globalgest.

Evaluating the Performance of Multi-tenant Elastic Extension Tables

An important challenge in the design of databases that support mult i-tenant applications is to provide a platform to manage large volu mes of data collected fro m d ifferent businesses, social media networks, ema ils, news, online te xts, documents, and other data sources. To overcome this challenge we proposed in our previous work a mu lti -tenant database schema called Elastic Extension Tables (EET) that co mb ines multi -tenant relat ional tables and virtual re lational tables in a single database schema. Using this approach, the tenants’ tables can be extended to support the requirements of individual tenants. In this paper, we discuss the potentials of using EET mult i-tenant database schema, and show how it can be used for managing physical and virtual re lational data. We perform several e xperiments to measure the feasibility and effectiveness of EET by co mparing it with a comme rcia lly availab le mu lti-tenant schema mapping technique used by SalesForce.co m. We report significant performance improve ments obtained using EET when co mpared to Un iversal Tab le Sche ma Mapping (UTSM), ma king the EET schema a good candidate for the management of multitenant data in Software as a Service (SaaS) and Big Data applications.

A Next Generation IDE through Multi Tenant Approach

A Next Generation IDE through Multi Tenant Approach

A New Approach for Providing Security Mechanism in Cloud with Possible Solutions and Results

In the field of IT technology, cloud computing is a next big thing in IT market. It is just internet based computing and on demand computing which gives reliability, scalability, availability compared to dedicated infrastructure. The main issues in cloud computing is security, trust and privacy issues. These issues arise at the time of deployment of cloud computing services in public and private cloud. In this paper security and privacy issues are reviewed and gives a proposed mechanism for securing data in cloud and also used Microsoft window azure tools for SACM (security access control mechanism) , and compare the system with SACM tools and NO SACM tools. The implementation result will show that security model is better than using SACM tools. It also defines web hosting in old manner and web hosting in cloud manner. In the future scope we can see multi tenancy security issues in cloud computing.

An Approach Towards Customized Multi-Tenancy

Multi-tenant applications are usually cloud based software services which can serve different users at the same time. This is done using single instance of applications by sharing hardware, infrastructure, data storage and virtualization. To achieve multi tenancy different approaches are there at every layer (Application, Data, hardware).Multi tenancy helps to minimize the effort needed for deployment and maintenance with an adequate level of security and privacy. Now a day the work is going on custom multi tenancy by sharing everything at each layer. This paper will describe the techniques of multi tenancy and how security, flexibility and scalability relate to each other when it comes to multi tenancy for customization.