Tenant-centric Sub-Tenancy Architecture in Software-as-a-Service

Tsai, Wei‐Tek; Zhong, Peide; Chen, Yinong

doi:10.1016/j.trit.2016.08.002

Cited by 10 publications

(4 citation statements)

References 8 publications

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“…14 Tsai et al proposed a STA which is based on crowdsourcing for application development and customization. 14 Feature requirements, modeling, implementation, assembling, deployment and management were introduced as the main steps of tenant-centric application development. Each task of the development process can be outsourced to adequate fitted tenants.…”

Section: Related Workmentioning

confidence: 99%

“…Maintaining isolation is even more complicated in architectures with many tenants and hierarchies. For example, in subtenancy architectures (STA), tenants can act like a SaaS (Software‐as‐a‐Service) infrastructure and offer their services to subtenants 14 . Tsai et al proposed a STA which is based on crowdsourcing for application development and customization 14 .…”

Section: Related Workmentioning

confidence: 99%

“…For example, in subtenancy architectures (STA), tenants can act like a SaaS (Software‐as‐a‐Service) infrastructure and offer their services to subtenants 14 . Tsai et al proposed a STA which is based on crowdsourcing for application development and customization 14 . Feature requirements, modeling, implementation, assembling, deployment and management were introduced as the main steps of tenant‐centric application development.…”

Section: Related Workmentioning

confidence: 99%

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Orchestrated sandboxed containers, unikernels, and virtual machines for isolation‐enhanced multitenant workloads and serverless computing in cloud

Mavridis

Karatza

2021

Concurrency and Computation

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Containers emerge as the prevalent virtualization technology in cloud computing.Containers are more light-weight and agile compared to traditional virtual machines (VMs), since they provide virtualization at the operating system level. There are specific factors driving the container adoption in cloud, however, the main disadvantage of container-based virtualization technologies is poor isolation. To address isolation and security-related issues, new container runtimes appeared. In this study we present and evaluate the most common security-oriented runtimes, Kata, gVisor and Nabla, running with Docker, Containerd, and CRI-O. We deploy containers for all the aforementioned container solutions, as well as the default Kubernetes runtime runc, on a Kubernetes cluster and additionally on a Docker node. Moreover, in a similar way to containers, we deploy and evaluate unikernels and security-oriented lightweight Linux-based VMs running on Kubernetes cluster. To evaluate container runtimes, we take under consideration Firecracker microVM too. To automate the deployment of high isolated containers and VMs on Kubernetes clusters, we have developed our own tool. Finally, we recognize the increasing interest on Function-as-a-Service and other serverless architectures. In the same direction with these emerging cloud computing services, we have extended the Kubeless serverless framework to support security-oriented container runtimes.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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Orchestrated sandboxed containers, unikernels, and virtual machines for isolation‐enhanced multitenant workloads and serverless computing in cloud

Mavridis

Karatza

2021

Concurrency and Computation

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“…Customization plays a significant role in the provision of an application to different tenants [7], [13], [14] because it is highly probable that business logic, interface, and data will differ for each tenant [15]. Therefore, customization can present performance threats that need to be considered by the hosts of SaaS [16].…”

Section: Motivationmentioning

confidence: 99%

A Systematic Mapping Study on the Customization Solutions of Software as a Service Applications

et al. 2019

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Software as a Service (SaaS) is widely used and depended on by a wide range of applications. Considering this, the SaaS should capacitate itself to offer service to a large number of customers having their own specific requirements, without encountering software quality problems. Therefore, several researchers delved into the SaaS customization, and many customization solutions have been proposed. However, heretofore, no analysis or study explicitly classifies these proposals using different criteria, e.g., the kind of change required, the component of the software requiring changes, and the quality attributes of the SaaS considered in each proposed solution. This paper adopts the systematic mapping approach to methodically investigate the solutions recommended for the SaaS customization problems. These solutions are classified into various categories to create a classification scheme based on the customization types (personalization, configuration, composition, modification, integration, and extension), customization layer (user interfaces, workflows, services, and data), and quality attributes. Our study identified 81 primary studies reporting SaaS customization solutions. The results show that the configuration, composition, and extension received the highest consideration in the proposed solutions. In addition, the majority of the proposed solutions for the SaaS customization are connected with the workflow and service layers. Furthermore, the attributes, such as multi-tenancy, security, functionality, scalability, availability, and efficiency, are considered much more often than other attributes. The classification of the proposed solutions for the SaaS customization and results of this paper can play an important role in creating a framework for the SaaS customization assessment.

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Containerized resource provisioning framework for multimedia big data application

Tao

Wang

2018

Multimed Tools Appl

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Tenant-centric Sub-Tenancy Architecture in Software-as-a-Service

Cited by 10 publications

References 8 publications

Orchestrated sandboxed containers, unikernels, and virtual machines for isolation‐enhanced multitenant workloads and serverless computing in cloud

Orchestrated sandboxed containers, unikernels, and virtual machines for isolation‐enhanced multitenant workloads and serverless computing in cloud

A Systematic Mapping Study on the Customization Solutions of Software as a Service Applications

Containerized resource provisioning framework for multimedia big data application

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