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.

Comparative Study on Open Source Software for Cloud Computing Platform: Eucalyptus, Openstack and Opennebula

Abstract: Cloud computing is a Service Oriented Architecture which reduced information technology overhead for the end-user and provide great flexibility, reduced total cost of ownership, on-demand services and many other things [1]. Hence it delivered all IT related capability as services rather than product .Services on cloud are divided into three broad categories: Software as a Service, Infrastructure as a Service & Platform as a Service. Same as services cloud is also classified as Private Cloud, Public Cloud & Hybrid Cloud. Private cloud is increasingly become popular between every private organization either large or small wants .To deploy public or private cloud there are many open source software available some are Eucalyptus, Nimbus, OpenStack, Open Nebula Cloud stack and Amazon Web Services .This paper, I provide a study of the main open source software such as Eucalyptus, OpenStack and OpenNebula for cloud implementation. It is believe that the comparison presented in this paper would benefit developers in selecting best open source Software.

BIM Cloud Score: Benchmarking BIM Performance

Abstract: A variety of building information modeling (BIM) performance evaluation initiatives have been proposed to quantify BIM utilization capacity of enterprises. These initiatives were designed for evaluating, instead of benchmarking, an organization’s performance in BIM utilization. Unlike evaluation that mainly focuses on ascertaining the achievement of BIM utilization within an organization, benchmarking is more interested in comparing one organization’s BIM performance to their industry peers. By identifying gaps in specific areas, decisions to make improvements can be facilitated. This paper proposes a cloud-based BIM performance benchmarking application called building information modeling cloud score (BIMCS) to automatically collect BIM performance data from a wide range of BIM users nationwide. It utilizes the software as a service (SaaS) model of cloud computing to make the collection, aggregation, and presentation of benchmarking data autonomous and interactive. Based on the big data collected...

Heuristics for Provisioning Services to Workflows in XaaS Clouds

Abstract: In XaaS clouds, resources as services (e.g., infrastructure, platform and software as a service) are sold to applications such as scientific and big data analysis workflows. Candidate services with various configurations (CPU type, memory size, number of machines and so on) for the same task may have different execution time and cost. Further, some services are priced rented by intervals that be shared among tasks of the same workflow to save service rental cost. Establishing a task-mode (service) mapping (to get a balance between time and cost) and tabling tasks on rented service instances are crucial for minimizing the client-oriented cost to rent services for the whole workflow. In this paper, a multiple complete critical-path based heuristic (CPIS) is developed for the task-mode mapping problem. A list based heuristic (LHCM) concerning the task processing cost and task-slot matching is developed for tabling tasks on service instances based on the result of task-mode mapping. Then, the effectiveness of the proposed CPIS is compared with that of the previously proposed CPIL, the existing state-of-the-art heuristics including PCP, SC-PCP (an extension to PCP), DET, and CPLEX. The effectiveness of the proposed LHCM is evaluated with its use with different task-mode mapping algorithms. Experimental results show that the proposed heuristics can reduce 24 percent of the service renting cost than the compared algorithms on the test benchmarks at most for non-shareable services. In addition, half of the service renting cost could be saved when LHCM is applied to consolidate tasks on rented service instances.

Analysis of Cloud Computing Delivery Architecture Models

Abstract: Cloud computing is one of the emerging technologies that will lead to the next generation of Internet. It provides optimized and efficient computing through enhanced collaboration, agility, scalability, and availability. In this paper, the evolution of the Cloud is discussed, the cloud computing model is explained, a set of cloud computing infrastructure metrics is listed, the cloud service model architectures are described, exemplary implementations of cloud service models are analyzed, and intriguing facts about cloud computing status and future are shared.