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Moreover, our study reveals that cloud enterprise systems' scope, by offering comprehensive application and integration platforms and a set of novel IT capabilities, goes beyond SaaS.
Proceedings ArticleDOI
Feng Liu, Li Li, Wu Chou 
30 Nov 2009
13 Citations
Experimental results indicated that the proposed approach is feasible and effective to communication enable SaaS applications in distributed environment that connects both cloud computing and enterprise on-premises systems.
This paper describes a hierarchical RBAC model called H- RBAC solves all the four problems of SaaS systems mentioned above.
Proceedings ArticleDOI
Linlin Wu, Saurabh Garg, Rajkumar Buyya 
14 Dec 2015
18 Citations
This work fills this gap by proposing a novel SLA based resource management system designed after analysing requirements of SaaS in Clouds.
Afterwards, employing the retail industry as a typical application domain, a novel "Black-Box" PaaS framework is proposed which requires much less learning time and supports much more flexible and speedy SaaS design and development.

Related Questions

How to design an effective table for saas product?4 answersAn effective table for a SaaS product can be designed by following a few key steps. First, establish a product table based on unique product codes and product information. This table will record the product information and corresponding relationships. Next, create a lessee table using lessee information and service codes determined by the product codes. This table will store the lessee information and its connection to the product information. By reducing the number of tables used, the tediousness of the SaaS-based data processing mode is lowered. Additionally, consider incorporating a paper shredder on the table surface to conveniently pulverize waste drawings and save space. Finally, utilize a personalized dynamic data structure design method to provide personalized services for different SaaS system users. By following these steps, an effective table for a SaaS product can be designed, improving efficiency and meeting specific design requirements.
What are the key SaaS metrics to track?5 answersKey SaaS metrics to track include software performance, quality of service (QoS), and SLA compliance. Software performance metrics are important for measuring the behavior of cloud applications and can be quantified using stochastic models. QoS metrics are used to evaluate the performance and scalability of web services, and accurate modeling of these metrics is crucial for assessing SLA compliance. Additionally, monitoring the performance of SaaS components is essential for validating the effectiveness of cloud computing approaches. Overall, tracking these metrics allows for better understanding and management of SaaS performance, ensuring that the services delivered by cloud providers meet the agreed-upon SLA agreements.
What are the possible partnerships for a Saas startup?5 answersPossible partnerships for a Saas startup can include collaborations with accelerators, seed capital providers, and software vendors. Startups can consider applying to accelerators, which can provide support, mentorship, and resources to help them grow and succeed in the market. Partnering with seed capital providers can help startups secure the necessary funding to develop and launch their software product. Additionally, collaborations with software vendors can be beneficial for Saas startups, as they can leverage existing SaaS applications for certain modules of their own application, reducing development time and costs. These partnerships can help Saas startups gain access to valuable resources, funding, and expertise, enabling them to accelerate their growth and increase their chances of success in the competitive market.
What is saas industry?5 answersSoftware as a Service (SaaS) is a way of delivering software functionality over the internet as a service. SaaS applications run on a provider's servers, and the provider manages access, security, availability, and performance. SaaS users benefit from lower initial costs, scalability, and the ability to access the service from anywhere with an internet connection. In the context of Industry 4.0, SaaS can be integrated into smart manufacturing platforms to optimize factory efficiency, improve production processes, enhance quality, and reduce costs through real-time data control, supply chain management, predictive maintenance, and remote monitoring.
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