scispace - formally typeset
Search or ask a question
Topic

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
More filters
01 Jan 2009
TL;DR: The field of cloud computing is still in its infancy as far as implementation and usage, partly because it is heavily promoted by technology advancement and is so high resource dependent that researches in academic institutions have not had many opportunities to analyze and experiment with it.
Abstract: The field of cloud computing is still in its infancy as far as implementation and usage, partly because it is heavily promoted by technology advancement and is so high resource dependent that researches in academic institutions have not had many opportunities to analyze and experiment with it. However, cloud computing arises from the IT technicians desire to add another layer of separation in processing information. At the moment, a general understanding of cloud computing refers to the following concepts: grid computing, utility computing, software as a service, storage in the cloud and virtualization. These refer to a client using a provider's service remotely, also known as in the cloud. Even if there is an existent debate on whether those concepts should be separated and dealt with individually, the general consensus is that all those terms could be summarized by the cloud computing umbrella. Given its recent development and scarcity of academic published work, many discussions on the topic of cloud security have surfaced from engineers in companies that provide the aforementioned services. Nevertheless, academia is developing in a significant presence, being able to address numerous issues.

59 citations

Journal ArticleDOI
TL;DR: The purpose of this paper is to compare and discuss several models and pricing schemes from different Cloud Computing providers.
Abstract: Cloud Computing is one of the technologies with rapid development in recent years where there is increasing interest in industry and academia. This technology enables many services and resources for end users. With the rise of cloud services number of companies that offer various services in cloud infrastructure is increased, thus creating a competition on prices in the global market. Cloud Computing providers offer more services to their clients ranging from infrastructure as a service (IaaS), platform as a service (PaaS), software as a service (SaaS), storage as a service (STaaS), security as a service (SECaaS), test environment as a service (TEaaS). The purpose of providers is to maximize revenue by their price schemes, while the main goal of customers is to have quality of services (QoS) for a reasonable price. The purpose of this paper is to compare and discuss several models and pricing schemes from different Cloud Computing providers.

59 citations

Proceedings ArticleDOI
01 Apr 2014
TL;DR: A natural language processing platform, namely the “ITU Turkish NLP Web Service” by the natural languageprocessing group of Istanbul Technical University, which provides the researchers and the students the state of the art NLP tools in many layers: preprocessing, morphology, syntax and entity recognition.
Abstract: We present a natural language processing (NLP) platform, namely the “ITU Turkish NLP Web Service” by the natural language processing group of Istanbul Technical University. The platform (available at tools.nlp.itu.edu.tr) operates as a SaaS (Software as a Service) and provides the researchers and the students the state of the art NLP tools in many layers: preprocessing, morphology, syntax and entity recognition. The users may communicate with the platform via three channels: 1. via a user friendly web interface, 2. by file uploads and 3. by using the provided Web APIs within their own codes for constructing higher level applications.

59 citations

BookDOI
11 Dec 2014
TL;DR: Essentials of Cloud Computing will help readers understand the issues and challenges of cloud computing and will give them the tools needed to develop and deploy applications in clouds.
Abstract: Cloud computingaccessing computing resources over the Internetis rapidly changing the landscape of information technology. Its primary benefits compared to on-premise computing models are reduced costs and increased agility and scalability. Hence, cloud computing is receiving considerable interest among several stakeholdersbusinesses, the IT industry, application developers, researchers, and students. To successfully embrace this new computing model, these stakeholders need to acquire new cloud computing skills and knowledge. This book is designed to provide readers with a clear and thorough understanding of the key aspects of cloud computing. Presented in an easy-to-understand style, Essentials of Cloud Computing begins with an introduction to basic cloud computing concepts. It then covers cloud computing architecture, deployment models, programming models, and cloud service types, such as Software as a Service (SaaS) and Infrastructure as a Service (IaaS). It also discusses the clouds networking aspects, major service providers, open source support, and security issues. The book concludes with a discussion of several advanced topics, such as mobile clouds, media clouds, and green clouds. This book is intended for beginners as well as experienced practitioners who want to learn more about cloud computing. It includes many case studies, programming examples, and industry-based applications. Each chapter concludes with review questions that help readers check their understanding of the presented topics. Essentials of Cloud Computing will help readers understand the issues and challenges of cloud computing and will give them the tools needed to develop and deploy applications in clouds.

58 citations

20 Dec 2010
TL;DR: This thesis introduces a software paradigm based on object orientation in which real-time concurrent objects are enabled to specify their own scheduling strategy and developed high-level formal models for specifying distributed software based on this paradigm in which the quality of service requirements are specified as deadlines on performing and finishing tasks.
Abstract: The software today is distributed over several processing units. At a large scale this may span over the globe via the internet, or at the micro scale, a software may be distributed on several small processing units embedded in one device. Real-time distributed software and services need to be timely and respond to the requests in time. The Quality of Service of real time software depends on how it schedules its tasks to be executed. The state of the art in programming distributed software, like in Java, the scheduling is left to the underlying infrastructure and in particular the operating system, which is not anymore in the control of the applications. In this thesis, we introduce a software paradigm based on object orientation in which real-time concurrent objects are enabled to specify their own scheduling strategy. We developed high-level formal models for specifying distributed software based on this paradigm in which the quality of service requirements are specified as deadlines on performing and finishing tasks. At this level we developed techniques to verify that these requirements are satisfied. This research has opened the way to a new approach to modeling and analysis of a range of applications such as continuous planning in the context of logistics software in a dynamic environment as well as developing software for multi-core systems. Industrial companies (DEAL services) and research centers (the Uppsala Programming for Multicore Architectures Resrearch Center UPMARC) have already shown interest in the results of this thesis.

58 citations


Network Information
Related Topics (5)
Cloud computing
156.4K papers, 1.9M citations
85% related
Software
130.5K papers, 2M citations
85% related
The Internet
213.2K papers, 3.8M citations
84% related
Wireless sensor network
142K papers, 2.4M citations
84% related
Information system
107.5K papers, 1.8M citations
83% related
Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202375
2022226
2021192
2020306
2019327
2018424