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Software as a service

About: Software as a service is a research topic. Over the lifetime, 8514 publications have been published within this topic receiving 136177 citations. The topic is also known as: Service as a Software Substitute & SaaSS.


Papers
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Journal ArticleDOI
TL;DR: This work presents and implements an architecture using stream processing to provide near-realtime, cross-boundary, distributed, scalable, fault-tolerant monitoring, and shows the feasibility of the prototype with regard to latency, overhead, and cost effectiveness.

60 citations

Book ChapterDOI
22 Nov 2009
TL;DR: The Green Cloud model proposes various Telco's revenue generating streams and services with the CaaS (Cloud as a Service) for the near future.
Abstract: This paper proposes a Green Cloud model for mobile Cloud computing. The proposed model leverage on the current trend of IaaS (Infrastructure as a Service), PaaS (Platform as a Service) and SaaS (Software as a Service), and look at new paradigm called "Network as a Service" (NaaS). The Green Cloud model proposes various Telco's revenue generating streams and services with the CaaS (Cloud as a Service) for the near future.

60 citations

Proceedings ArticleDOI
Ammar Khalid1
09 Feb 2010
TL;DR: Some of most critical issues along with some mitigating steps in order to achieve rewarding deployment are highlighted and some future development work of under laying concept is described.
Abstract: Cloud computing has developed from being a gifted commerce idea to one of the top geared sector of the Information Technology. Now, declined organizations are progressively introducing themselves in this technology in order to achieve reliable services at minimal cost. But as small and medium size business are looking forward to adopt least economical computing resources for their business applications, there is a need to identify all the issues while deploying it. The paper highlights some of most critical issues along with some mitigating steps in order to achieve rewarding deployment. This also describes some future development work of under laying concept.

60 citations

Proceedings ArticleDOI
01 Aug 2016
TL;DR: The paper will go in to details of data protection methods and approaches used throughout the world to ensure maximum data protection by reducing risks and threats to provide insight on data security aspects for Data-in-Transit and Data-at-Rest.
Abstract: This paper discusses the security of data in cloud computing. It is a study of data in the cloud and aspects related to it concerning security. The paper will go in to details of data protection methods and approaches used throughout the world to ensure maximum data protection by reducing risks and threats. Availability of data in the cloud is beneficial for many applications but it poses risks by exposing data to applications which might already have security loopholes in them. Similarly, use of virtualization for cloud computing might risk data when a guest OS is run over a hypervisor without knowing the reliability of the guest OS which might have a security loophole in it. The paper will also provide an insight on data security aspects for Data-in-Transit and Data-at-Rest. The study is based on all the levels of SaaS (Software as a Service), PaaS (Platform as a Service) and IaaS (Infrastructure as a Service).

60 citations

Proceedings ArticleDOI
25 Mar 2013
TL;DR: This paper provides a comprehensive tutorial on testing as a service in a cloud environment, and presents a classification of different types of testing services in TaaS, but also offers a clear comparative view and perspectives between conventional software testing service and cloud-based testing asA service.
Abstract: Cloud computing leads an opportunity in offering testing as a service (TaaS) for SaaS, clouds, and cloud-based applications. This brings new business opportunities, challenges, and demands in innovative service models, testing techniques, QoS standards, and requirements. This paper provides a comprehensive tutorial on testing as a service in a cloud environment. It answers the common questions raised by engineers and managers, and provides clear conceptual discussions about testing as a service (TaaS), including its scope, objectives, motivations and values, distinct features, required techniques, as well as testing environments. It not only presents a classification of different types of testing services in TaaS, but also offers a clear comparative view and perspectives between conventional software testing service and cloud-based testing as a service. In addition, it examines underlying issues, challenges, and emergent needs.

59 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202375
2022226
2021192
2020306
2019327
2018424