Tenant-based access control model for multi-tenancy and sub-tenancy architecture in Software-as-a-Service

Software-as-a-Service （SaaS） introduces multi- tenancy architecture （MTA）. Sub-tenancy architecture （STA）, is an extension of MTA, allows tenants to offer services for subtenant developers to customize their applications in the SaaS infrastructure. In a STA system, tenants can create sub- tenants, and grant their resources （including private services and data） to their subtenants. The isolation and sharing re- lations between parent-child tenants, sibling tenants or two non-related tenants are more complicated than those between tenants in MTA. It is important to keep service components or data private, and at the same time, allow them to be shared, and support application customizations for tenants. To ad- dress this problem, this paper provides a formal definition of a new tenant-based access control model based on administra- tive role-based access control （ARBAC） for MTA and STA in service-oriented SaaS （called TMS-ARBAC）. Autonomous areas （AA） and AA-tree are proposed to describe the auton- omy of tenants, including their isolation and sharing relation- ships. Authorization operations on AA and different resource sharing strategies are defined to create and deploy the access control scheme in STA models. TMS-ARBAC model is ap- plied to design a geographic e-Science platform.

Business Intelligence as a Service——SaaS BI Introduction and Recommendations

Characterized as automated access,analysis,management,improvement,identification,and efficiency,SaaS BI has played a significant role recently. This essay presents information about SaaS BI,such as,the generic reason for prevalent,advantages and limitations of SaaS BI,current market overview,tendency of development of SaaS BI,and applications in business. This paper uses the literature study and descriptive study methods in order to analysis the influence and functions of SaaS BI to the businesses and coping strategies.

Cloud Computing as Area of Modem Industry

Cloud computing is a new vision about the needs of information technology （IT）. It provides a comprehensive concept for building a homogeneous environment through services offered in the cloud Software-as-a-Service （SaaS）, Platform-as-a-Service （PaaS）, and Infrastructure-as-a-Service （IaaS）. Cloud computing is location-independent computing, whereby shared servers provide resources, software, and data to computers and other devices on demand, as with the electricity grid. Cloud computing is computing paradigm that is driven by economies of scale, in which a set of dynamically-scalable resources such as servers, storages, platforms, and services are delivered on demand to the customers over the interuet. ＂Cloud computing is a continuation of the direction the industry has been going for the last several years in terms of using shared and elastically scalable computing resources,＂ says Rex Wang1, VP of Product Marketing at Oracle, who spoke at the Gartner Data Center Conference, in January 2011. Cloud computing refers to dynamic provision of virtual distributed computational resources on demand via a computer network. Cloud computing is a new high technology industry that possesses a number of advantages over existing business practices： a reduction of expenses, technical staff, and efforts of the end users.

DataV:Data Visualization on large high-resolution displays

In recent years,the technology and applications of visualizations on large high-resolution displays(LHDs)have received widespread attention because of its perceptual benefits and improved productivity.However,existing work on LHD visualization lacks both comprehensive guidance for design requirements and tools developed for its specific usage scenarios.In this paper,we present the scenarios,design,and implementation of DataV,a Software-as-a-Service(SaaS)visual deployment tool that enables rapid construction and cross-platform publishing of interactive visualization on LHDs.Our framework can support rich components for the high-performance rendering of multisource heterogeneous data.DataV provides a full-fledged toolchain to help the user efficiently specify layout and interactions.We present its accessibility and impressive visual effects with examples and comparison with Tableau,Power BI,VisComposer,and iVisDesigner.We also report the performance of using DataV for 3D map rendering by comparing it with deck.gl.