Optimized Deployment Plans for Platform as a Service Clouds

Author(s):  
Benjamin Byholm ◽  
Ivan Porres
2021 ◽  
Author(s):  
Tim Alberdingk Thijm ◽  
Gary Atkinson ◽  
Lalita Jagadeesan ◽  
Marina Thottan

2020 ◽  
pp. 249-269
Author(s):  
Julian Soh ◽  
Marshall Copeland ◽  
Anthony Puca ◽  
Micheleen Harris

Compiler ◽  
2015 ◽  
Vol 4 (2) ◽  
Author(s):  
Hero Wintolo ◽  
Lalu Septian Dwi Paradita

Cloud computing, one form of information technologies are widely used in the field of computer networks or the Internet. Cloud computing consists of computer hardware, computer networking devices, and computer software, the cloud computing there are three services provided include (SaaS) Software as a Service (PaaS) Platform as a Service, and (IaaS) Infrastructure as a Service. Application cloud computing services in the wake of this system is a service-based data storage infrastructure as a service by using android smartphone as a storage medium, which utilizes FTP Server which is already available on the smartphone. This certainly supports the easy storage of data that utilize various types of internal and external storage on smartphones that serves as a storage server. In addition to the functions of storage available, this service can accommodate streaming function .mp3 file type. Implementation result of the system can be implemented on a local network using a wireless LAN. In addition, the results of user testing using Likert method shows the application can run and function properly


VUZF Review ◽  
2021 ◽  
Vol 6 (2) ◽  
pp. 88-99
Author(s):  
Kateryna Kraus ◽  
Nataliia Kraus ◽  
Oleksandr Marchenko

Successful operation of modern banking institutions significantly depends on the use of the latest information and communication technologies in process management, from motivation and communication with staff, to remote control of banking operations. Purpose of scientific research is a study of the principles and features of banking automated information system in terms of implementation of the latest information and cloud technologies by banking institutions. The object of scientific research is banking automated information system of banking institutions. The result of the article: research proved that the creation and selection of banking automated information system of banking institution is based on the planning of all systems related to the functioning of the complete infrastructure of the bank, built on information technology; the causes and consequences of various risk situations by channels of their occurrence (information Web-site, e-mail, network systems, system failures, electronic payment systems and data transmission systems, electronic channel) in the banking sector as a result of using a bank automated information system are substantiated; key areas of banking automated information system and the elements of the system of risk situations that arise in the banking sector as a result of the use of banking automated information system are described; main requirements for information support of banking institution and the main criteria for choosing banking automated information system of a banking institution are identified. Practical implications: priority ways of overcoming the risks of introduction of banking automated information system are offered, taking into account the scope and spread of risks. At the same time, the methods of providing cloud services used by banking institutions were evaluated. Value/originality: the introduction of a banking automated information system of a banking institution today is impossible without the use of cloud technologies (infrastructure as a service – IaaS, software as a service – SaaS, platform as a service – PaaS), each of which has a number of strengths and weaknesses.


Author(s):  
Darko Androcec

Abstract Platform as a service model has certain obstacles, including data lock-in. It is expensive and time-consuming to move data to the alternative providers. This paper presents data storage options in platform as a service offers and identifies the most common data portability problems between various commercial providers of platform as a service. There are differences among their storage models, data types, remote APIs for data manipulation and query languages. Representing data models of platform as a service and data mappings by means of ontology can provide a common layer to achieve data portability among different cloud providers.


Author(s):  
Tamas Pflanzner ◽  
Roland Tornyai ◽  
Ákos Zoltán Gorácz ◽  
Attila Kertesz

Cloud Computing has opened new ways of flexible resource provisions for businesses migrating IT applications and data to the cloud to respond to new demands from customers. Recently, many businesses plan to take advantage of the flexible resource provision. Cloud Federations envisage a distributed, heterogeneous environment consisting of various cloud infrastructures by aggregating different IaaS provider capabilities coming from both the commercial and academic area. Recent solutions hide the diversity of multiple clouds and form a unified federation on top of them. Many approaches follow recent trends in cloud application development, and offer federation capabilities at the platform level, thus creating Platform-as-a-Service solutions. In this chapter the authors investigate capabilities of PaaS solutions and present a classification of these tools: what levels of developer experience they offer, what types of APIs, developer tools they support and what web GUIs they provide. Developer experience is measured by creating and executing sample applications with these PaaS tools.


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