A Transparent Approach of Enabling SaaS Multi-tenancy in the Cloud

Cai, Hong; Wang, Ning; Zhou, Ming Jun

doi:10.1109/services.2010.48

Cited by 38 publications

(17 citation statements)

References 3 publications

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“…These have been found to constitute a challenge to the security and privacy of data in cloud environments [10]. A couple of researchers have worked in the area of ensuring security in the multitenant domain: [11] (Isolation and customization); [12] (Suggests removal of virtualization layer); [13] (Incorporation of Active Protection System); [14] (Constructing a Virtual Machine Monitor in form of a new Micro-Kernel), and many others. However, research is still ongoing as more and more vulnerabilities, threats, risks and security challenges emerge with time.…”

Section: Proposed Multi-tenancy Framework and Cloud Securitymentioning

confidence: 99%

A Multi-Tenant Framework for an Enterprise System on Cloud

2016

IJSR

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Enterprise systems provide integrated information for all activities in an organization. These systems serve as a vital asset to any organization and hence it becomes mandatory to ensure their security. Information security combines systems, operations and internal controls to ensure the availability, integrity and confidentiality of data and operational procedures in an organization. In the present scenario these services are offered on the cloud mainly to reduce inherent risk associated with the traditional enterprise systems. Cloud computing represents a significant shift in the way that IT resources are managed, operated, and consumed. This change exposes several benefits to enterprises, promoting greater IT efficiency and agility. This paper is intended to suggest a Multitenant security framework of enterprise systems on cloud. The dependency on integrated information systems (Enterprise Systems) in an organization is increasing day by day. An enterprise system is a combination of several applications that supports and automates business processes and manages business data. The term enterprise system is often used synonymously with enterprise business application or with the more restricted term an enterprise resource planning (ERP) system [Gulla, (2004)]. Enterprise Systems help in carrying out various tasks with greater operational efficiency and reliability. They also facilitate to keep information updated and available across the organization 24 * 7. These systems process thousands of transactions every day and store information about all aspects of the business. According to Haigh D [Haigh ,(2004)] the potential benefits of enterprise systems depend on the way they are employed to improve the business processes. As enablers of successful business reengineering projects, they help the organizations to save money, keep their business data consistent, current and available, speed up business processes, and improve the quality and reliability of the processes.

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Section: Proposed Multi-tenancy Framework and Cloud Securitymentioning

confidence: 99%

A Multi-Tenant Framework for an Enterprise System on Cloud

2016

IJSR

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“…Cai [21] described a transparent approach of making existing Web applications to support MTA and run in a public cloud.…”

Section: Mta In Saasmentioning

confidence: 99%

Multi-tenancy and Sub-tenancy Architecture in Software-as-a-Service (SaaS)

Tsai

Zhong

2014

2014 IEEE 8th International Symposium on Service Oriented System Engineering

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Multi-tenancy architecture (MTA) is often used in Software-as-a-Service (SaaS) and the central idea is that multiple tenant applications can be developed using components stored in the SaaS infrastructure. Recently, MTA has been extended where a tenant application can have its own sub-tenants as the tenant application acts like a SaaS infrastructure. In other words, MTA is extended to STA (Sub-Tenancy Architecture ). In STA, each tenant application not only need to develop its own functionalities, but also need to prepare an infrastructure to allow its sub-tenants to develop customized applications. This dissertation formulates eight models for STA, and proposes a Variant Point based customization model to help tenants and subtenants customize tenant and sub-tenant applications. In addition, this dissertation introduces Crowd-sourcing to become the core of STA component development life cycle. To discover fit tenant developers or components to help building and composing new components, dynamic and static ranking models are proposed. Further, rank computation architecture is presented to deal with the case when the number of tenants and components becomes huge. At last, an experiment is performed to prove rank models and the rank computation architecture work as design. Finally, I dedicate this dissertation to my many friends, Song Xiang, Feng Guo,

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“…The allocation of the different feature instances, taking into account relations as defined by the feature model, is the main focus of this article. We assume the application has already been split up into components, and that data isolation issues are resolved using existing techniques [32,33]. We also assume the performance of the various components has been evaluated using performance models such as those in [34], possibly grouping components that often communicate together to guarantee they are colocated, which ensures good performance is achieved.…”

Section: Mandatorymentioning

confidence: 99%

Cost-Effective Feature Placement of Customizable Multi-Tenant Applications in the Cloud

et al. 2013

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Cloud computing technologies can be used to more flexibly provision application resources. By exploiting multi-tenancy, instances can be shared between users, lowering the cost of providing applications. A weakness of current cloud offerings however, is the difficulty of creating customizable applications that retain these advantages. In this article, we define a feature-based cloud resource management model, making use of Software Product Line Engineering (SPLE) techniques, where applications are composed of feature instances using a service-oriented architecture. We focus on how resources can be allocated in a cost-effective way within this model, a problem which we refer to as the feature placement problem. A formal description of this problem, that can be used to allocate resources in a cost-effective way, is provided. We take both the cost of failure to place features, and the cost of using servers into account, making it possible to take energy costs or the cost of public cloud infrastructure into consideration during the placement calculation. Four algorithms that can be used to solve the feature placement problem are defined. We evaluate the algorithm solutions, comparing them with the optimal solution determined using an integer linear problem solver, and evaluating the execution times of the algorithms, making use of both generated inputs and a use case based on three applications. We show that, using our approach a higher degree of multi-tenancy can be achieved, and that for the considered scenarios, taking the relationships between features into account and using application-oriented placement performs 25% to 40% better than a purely feature-oriented placement.

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A Transparent Approach of Enabling SaaS Multi-tenancy in the Cloud

Cited by 38 publications

References 3 publications

A Multi-Tenant Framework for an Enterprise System on Cloud

A Multi-Tenant Framework for an Enterprise System on Cloud

Multi-tenancy and Sub-tenancy Architecture in Software-as-a-Service (SaaS)

Cost-Effective Feature Placement of Customizable Multi-Tenant Applications in the Cloud

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