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.

A general maturity model and reference architecture for saas service

Abstract: In today’s dynamic IT environment with increased global competition, enterprises must achieve greater business agility and decrease the TCO (Total Cost of Ownership) of their system for service. As the need for innovative software circulation process emerges, SaaS (Software as a Service) is introduced for integrating software service framework. But most of current ASP (Application Service Provider) Players have difficulties to migrate their systems to SaaS Platform for the lack of maturity model and process. In this paper, we have surveyed several cases of SaaS service, and we identified the common key functions of SaaS service. We contend that the practical maturity model is a key enabler for achieving migration to innovative SaaS service platform. To assist in building our SaaS maturity model, we defined two important axes of maturity model and introduced the detailed components of each phase with the reference architecture which contains the essential activities according to the common functions of SaaS service.

Learning based opportunistic admission control algorithm for MapReduce as a service

Abstract: Admission Control has been proven essential to avoid overloading of resources and for meeting user service demands in utility driven grid computing. Recent emergence of Cloud based services and the popularity of MapReduce paradigm in Cloud Computing environments make the problem of admission control intriguing. We propose a model that allows one to offer MapReduce jobs in the form of on-demand services. We present a learning based opportunistic algorithm that admits MapReduce jobs only if they are unlikely to cross the overload threshold set by the service provider. The algorithm meets deadlines negotiated by users in more than 80% of cases. We employ an automatically supervised Naive Bayes Classifier to label incoming jobs as admissible and non-admissible. From the list of jobs classified as admissible, we then pick a job that is expected to maximize service provider utility. An external supervision rule automatically evaluates decisions made by the algorithm in retrospect, and trains the classifier. We evaluate our algorithm by simulating a MapReduce cluster hosted in the Cloud that offers a set of MapReduce jobs as services to its users. Our results show that admission control is useful in minimizing losses due to overloading of resources, and by choosing jobs that maximize revenue of the service provider.

A Study about Green Computing

Abstract: In past a few years computer paradigm is shifted to remote data centres and the software and hardware services available on the basis of pay for use .This is called Cloud Computing, In which user have to pay for the services .Cloud provide the services - Software as a service ,platform as a service and infrastructure as a service .These services provided through the remote data centres (since the data is scattered /distributed over the web.), as Software application and other services migrated on the remote data centre ,management of these data centre in important. Data centre management faces the problem of power consumption. At present cloud computing based system waste a great amount of power and produces co2. Since many servers don't have a good quality cooling system. Green computing can enable more energy efficient use of computing power .This survey paper show the requirement of green computing and techniques to save the energy by different approaches.

Defect Management Strategies in Software Development

Abstract: Software is a unique entity that has laid a strong impact on all other fields either related or not related to software. These include medical, scientific, business, educational, defence, transport, telecommunication to name a few. State-of-the-art professional domain activities demands the development of high quality software. High quality software attributes to a defect-free product, which is competent of producing predictable results and remains deliverable within time and cost constraints. It should be manageable with minimum interferences. It should also be maintainable, dependable, understandable and efficient. Thus, a systematic approach towards high quality software development is required due to increased competitiveness in today's business world, technological advances, hardware complexity and frequently changing business requirements.

Identifying early adopters of large software systems

Abstract: In recent years the software industry has undergone rapid growth, yet little is known about the software acquisition process. This study examines the relationship between the acquisition of large data base management systems (DBMSs) and several characteristics of organizations and their personnel. Seven hypothesis related to the adoption of DBMSs are tested through a survey and the results are reported.