ASSESSING PEAK PERFORMANCE CAPABILITIES OF CLOUD SERVICES AND OF CORE COMPUTATIONAL POWER

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dc.contributor.author Hysneli, Adora
dc.date.accessioned 2025-01-23T13:11:07Z
dc.date.available 2025-01-23T13:11:07Z
dc.date.issued 2024-02-28
dc.identifier.uri http://dspace.epoka.edu.al/handle/1/2383
dc.description.abstract Cloud computing is already the widely embraced approach in the field of technology and information, thus gaining a current massive use for fact of flexibility that this technology offers. In recent years, Cloud Computing has undeniably achieved significant commercial success and is expected to continue its rapid growth over the next decades. Practicality and efficiency are two fundamental features that have undoubtedly made this technology "friendly" to all communications actors. This new technological development enables resources, data and database technologies to be used according to requirements and needs, allocating in this form resources and, memory "as needed". These crucial features make this approach appealing for deploying applications that offer services to external parties, such as traditional e-commerce websites, online healthcare platforms, gaming applications, media servers, and bioinformatics tools. Scaling as a cloud feature means using as much as needed. Elasticity empowers application owners to acquire and release resources as needed, ensuring they only incur expenses for the resources utilized. Elasticity is a crucial feature in computing, which has recently seen extensive developments. The primary incentive driving the adoption of cloud platforms is their capacity to supply resources tailored to customer requirements, often referred to as adaptable data security and adaptation. Hence, resilience emerges as a pivotal characteristic in cloud computing, overseeing and managing the quantity of data sources to accommodate variations in diverse user demands. This paper addressed elasticity as one of the most important features of the cloud. en_US
dc.language.iso en en_US
dc.subject Cloud, elasticity, resources , efficiency, computational power en_US
dc.title ASSESSING PEAK PERFORMANCE CAPABILITIES OF CLOUD SERVICES AND OF CORE COMPUTATIONAL POWER en_US
dc.type Thesis en_US


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