4 research outputs found

    Load Balancing and Resource Allocation Model for SaaS Applications with Time and Cost constraints forcloud-computing

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    Instead of Traditional Software, nowadays we are using Cloud Computing. It enables the on-going revenue for software providers..Advancement of Cloud Computing due to use of well established research in Web Services, networks, utility computing and virtualization has resulted in many advantages in cost, flexibility and availability for service users. These advantages has further increased the demand for Cloud Services, increasing both the Cloud's customer base and the scale of Cloud installations. This has resulted in many technical issues in Service Oriented Architectures and Internet of Services (IoS) type applications such as high availability and scalability, fault tolerance. Central to these issues is the establishment of effective load balancing techniques. In this paper focus on the load balancing and resources provisioning approaches.Here, using the linear programming approach for dynamically allocates the resources with balancing the load.Mainly focus on the time and cost constraints. DOI: 10.17762/ijritcc2321-8169.15072

    Strategies to Manage Cloud Computing Operational Costs

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    Information technology (IT) managers worldwide have adopted cloud computing because of its potential to improve reliability, scalability, security, business agility, and cost savings; however, the rapid adoption of cloud computing has created challenges for IT managers, who have reported an estimated 30% wastage of cloud resources. The purpose of this single case study was to explore successful strategies and processes for managing infrastructure operations costs in cloud computing. The sociotechnical systems (STS) approach was the conceptual framework for the study. Semistructured interviews were conducted with 6 IT managers directly involved in cloud cost management. The data were analyzed using a qualitative data-analysis software to identify initial categories and emerging themes, which were refined in alignment with the STS framework. The key themes from the analysis indicated that successful cloud cost management began with assessing the current environment and architecting applications and systems to fit cloud services, using tools for monitoring and reporting, and actively managing costs in alignment with medium- and long-term goals. Findings also indicated that social considerations such as fostering collaboration among all stakeholders, employee training, and skills development were critical for success. The implications for positive social change that derive from effectively managing operational costs include improved financial posture, job stability, and environmental sustainability

    An adaptive framework for utility-based optimization of scientific applications in the cloud

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    Design of an Adaptive Framework for Utility-Based Optimization of Scientific Applications in the Cloud

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