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Supporting User Requirements and Preferences in Cloud Plan Selection
2017
IEEE Transactions on Services Computing
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In this paper, we address the problem of supporting users in cloud plan selection. ...
Index Terms-Cloud plan selection, cloud plan requirements and preferences, cloud plan ranking ✦ ...
ACKNOWLEDGMENTS This work was supported in part by the EC within the H2020 under grant agreement 644579 (ESCUDO-CLOUD), and within the FP7 under grant agreement 312797 (ABC4EU). ...
doi:10.1109/tsc.2017.2777977
fatcat:m75kr2dugncavegr75lsw4yke4
Supporting Users in Data Outsourcing and Protection in the Cloud
[chapter]
2017
Communications in Computer and Information Science
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Moving data and applications to the cloud allows users and companies to enjoy considerable benefits. ...
Among these, the need to ensure that possible requirements on security, costs, and quality of services are satisfied by the cloud providers, and the need to adopt techniques ensuring the proper protection ...
This work was supported in part by the EC within the FP7 under grant agreement 312797 (ABC4EU), and within the H2020 under grant agreement 644579 (ESCUDO-CLOUD). ...
doi:10.1007/978-3-319-62594-2_1
fatcat:a5r25p4y6bc2nmoyrfljsp6pqm
COCCUS
2013
Proceedings of the 2013 international conference on Management of data - SIGMOD '13
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Data service providers need appropriate and flexible query charging mechanisms and query optimization that take into consideration cloud operational expenses, pricing strategies and user preferences. ...
We demonstrate COCCUS 's operation over centralized and shared nothing CloudDBMS architectures on top of public and private IaaS clouds. ...
According to P1, the provider selects the query plan closest to the user preferences (e.g. the plan closer to the user budget function) and charges the actual cost of the query plan. ...
doi:10.1145/2463676.2465233
dblp:conf/sigmod/KonstantinouKTK13
fatcat:7schidoqwbbpblvnynyaprmwdi
On personalized cloud service provisioning for mobile users using adaptive and context-aware service composition
2018
Computing
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The selection process is guided by quality-of-context criteria that combine cloudservice provider requirements and user preferences. ...
Personalization of composite services in mobile environments is an interesting and challenging issue to address, given the opportunity to factor-in diverse user preferences and the plethora of mobile devices ...
reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. ...
doi:10.1007/s00607-018-0631-8
fatcat:ddt5klmnfzgg5adavb65q7ui6u
A Unified Framework for User-Preferred Multi-Level Ranking of Cloud Computing Services based on Usability and Quality of Service Evaluation
2020
IEEE Access
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Thus, it is crucial to choose Cloud services whose performance match the user requirements. Such a choice requires a thorough evaluation of Cloud services according to user needs and preferences. ...
While selecting CSPs, Cloud users should specify the requirements of throughput in SLA [13] . • Agility: It refers to how quickly a user can adapt to use the Cloud service. ...
doi:10.1109/access.2020.3027775
fatcat:naupsujugzc4vjcjwjzhgm42py
A Fuzzy-Based Brokering Service for Cloud Plan Selection
2019
IEEE Systems Journal
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In this paper, we propose a novel, user-centric, brokering service for supporting users in the specification of requirements and enabling their evaluation against available cloud plans, assessing how much ...
Fuzzy logic and fuzzy inference systems are adopted to quantitatively assess the compliance of cloud services with the users' desiderata, and hence to help users in the cloud service selection process. ...
ACKNOWLEDGMENTS This work was supported in part by the EC within the H2020 program under grant agreement 825333. ...
doi:10.1109/jsyst.2019.2893212
fatcat:6makaq35vbeuhe4cjh6fmwdmku
A consensus-based approach for selecting cloud plans
2016
2016 IEEE 2nd International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI)
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In this paper, we propose an approach enabling users to select a cloud plan that best balances the satisfaction of the requirements of multiple applications. ...
An important problem when moving an application to the cloud consists in selecting the most suitable cloud plan (among those available from cloud providers) for the application deployment, with the goal ...
ACKNOWLEDGEMENTS This work was supported in part by the EC within the 7FP under grant agreement 312797 (ABC4EU) and within the H2020 under grant agreement 644579 (ESCUDO-CLOUD). ...
doi:10.1109/rtsi.2016.7740642
dblp:conf/rtsi/ArmanFLS16
fatcat:5emdvu6meffybjmvlrtjti5uxq
User-Centric Adaptation Analysis of Multi-Tenant Services
2016
ACM Transactions on Autonomous and Adaptive Systems
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To support our analysis, we model multi-tenant services and user preferences by using feature and preference models, respectively. ...
We describe how to engineer the activities of the MAPE (Monitoring, Analysis, Planning, Execution) loop to support user-centric adaptation, and focus on the adaptation analysis. ...
García for the explanations on the user preferences modelling, and to J.A. Parejo and A. Sayyad for their advices on the experimentation. ...
doi:10.1145/2790303
fatcat:hj3furhzlzcvhergxn7ehrwjnu
A Review on Broker Based Cloud Service Model
2016
Journal of Computing and Information Technology
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It focuses the importance of suitable service selection and its ranking towards fulfilling the customer's service requirements. ...
The proposed cloud broker advocates techniques such as reasoning and decision making capabilities for the improved cloud service selection and composition. ...
A suitable front-end prototype with possible user operations have been planned and resulted as User Interface Portal for Requirements Specification (UIPRS). ...
doi:10.20532/cit.2016.1002778
fatcat:jhp24sxomreslp3rkgwradls2y
Empowering Mobile Service Provisioning through Cloud Assistance
2013
2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing
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Mobile devices can take advantage of their mobility to provide location-based services and their association to a specific user to customize service offerings to fit personal preferences and current conditions ...
The framework supports dynamic offloading based on the resource status at the mobile side and current network condition as well as user-defined energy constraints. ...
In contrast, our framework selects the best execution plan with the minimum response time and energy efficiency, while satisfying the resource constraints with respect to both execution requirements and ...
doi:10.1109/ucc.2013.20
dblp:conf/ucc/ElgazzarMH13
fatcat:zejno6zivvgynk3a2wwy4mrfvq
User-Oriented Cloud Service Design based on Market Research Techniques
2016
European Conference on Information Systems
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It supports cloud service providers in addressing specific questions of cloud service design: to analyse user preferences and the many trade-offs between different functional, non-functional and economic ...
This research-in-progress paper suggests the use of market research techniques, namely conjoint analysis, in the requirements elicitation process for cloud services. ...
User preference elicitation and analysis for cloud services This method element supports selecting the appropriate CA variant, which fits the cloud domain's specificities and the study's objectives. ...
dblp:conf/ecis/GiessmannNL16
fatcat:enrzc3fggrdvtcqwoe6jwma3hm
A Context-Aware and Self-Adaptation Strategy for Cloud Service Selection and Configuration in Run-Time
2019
Computer and Information Science
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This paper proposes a strategy for selecting automatically an appropriate cloud environment that runs out whole requirements, defines a configuration for the associated cloud environment and able to easily ...
adapt to the change of the environment on either the user or the cloud side or both. ...
The monitored context defines the current state of User(patient) Preference, the Device Context, and Situational Context. patient preference defines specific preference settings, particularly those have ...
doi:10.5539/cis.v13n1p10
fatcat:ylui45n5kfcxnjuc523sdwalsi
VM Placement in non-Homogeneous IaaS-Clouds
[chapter]
2011
Lecture Notes in Computer Science
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In the second phase, we determine the final VM-to-PM mapping considering all low-level constraints arising from the particular user requests and special characteristics of the selected cohort. ...
Our evaluation shows that in large non-homogeneous physical infrastructures, we significantly reduce the VM placement plan production time and improve plan quality. ...
This work has been partially supported by the EU D4Science I&II FP7-projects. ...
doi:10.1007/978-3-642-25535-9_12
fatcat:ugga77psubaujbtv5gumepedmu
Linked USDL Extension for Describing Business Services and Users' Requirements in a Cloud Context
2017
International Journal of Systems and Service-Oriented Engineering
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along with satisfying users' requirements. ...
This paper discusses how to extend Linked USDL in a way that permits to describe the services of a marketplace in support of automating the provisioning of service-oriented cloud-based business applications ...
Non-functional requirements include user deployment and cost preferences, and QoS requirements. ...
doi:10.4018/ijssoe.2017070102
fatcat:kw5zb4klknetnnugdsufukui7i
Efficient Resource Management in Cloud Computing Using Non Operational Elements
2018
Bonfring International Journal of Industrial Engineering and Management Science
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In order to assist system administrators this paper focuses an architecture that supports the process of deploying applications in cloud providers, using high level information based on an operational ...
Estimating resources that the applications require to execute in the cloud is a complicated task. System administrators often do not know the low-level technical details. ...
After that in the schedule, resource allocation plan is added. Through the Quality of Service and resource allocation plan resource is allocated to the user. ...
doi:10.9756/bijiems.8353
fatcat:6poq6ndxu5f6dds55mmwt5bisy
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