Reservation schemes for IaaS cloud broker: a time-multiplexing way for different rental time

2016 ◽  
Vol 29 (16) ◽  
pp. e3972 ◽  
Author(s):  
Chonglin Gu ◽  
Shi Chen ◽  
Jiangtao Zhang ◽  
Hejiao Huang ◽  
Xiaohua Jia
Keyword(s):  
Cloud Broker

Cloud Broker: Bringing Intelligence into the Cloud

2010 ◽  
Author(s):  
Stella Gatziu Grivas ◽  
Tripathi Uttam Kumar ◽  
Holger Wache
Keyword(s):  
Cloud Broker

Brokering Cloud Computing

2018 ◽  
pp. 230-251
Author(s):  
Georgia Dede ◽  
George Hatzithanasis ◽  
Thomas Kamalakis ◽  
Christos Michalakelis
Keyword(s):  
Cloud Computing ◽  
Business Model ◽  
Cost Effective ◽  
Vital Role ◽  
Third Party ◽  
Cloud Provider ◽  
Cloud Broker ◽  
New Business ◽  
Production Techniques ◽  
Ict Industry

Cloud computing is a rapidly evolving computational model, which has succeeded in transforming the ICT industry and the economy's production techniques by making corresponding services even more accessible to businesses, offering cost-effective solutions. The cloud broker is a new business model, derived from the necessity of finding the best provider, or the best bundle for the end user. It is a third-party business that assists clients in making the best decision in choosing the most suitable cloud provider and the most effective service bundle for their needs, in terms of performance and price. This chapter analyzes the cloud broker business model and highlights the broker's vital role and the benefits that arise from the use of its services. In that context, it describes cloud brokering and a market analysis, together with the most popular pricing models, together with a comparison among them, concluding with future directions for the expansion of the brokerage model.

A Cloud Broker for Service Adaptation Based on Interface Localization

2018 ◽  
pp. 96-120
Author(s):  
Claus Pahl ◽  
Luke Collins
Keyword(s):  
Language Translation ◽  
Regulatory Compliance ◽  
Service Level ◽  
Access To Resources ◽  
Runtime Support ◽  
Cloud Broker ◽  
Translation Techniques ◽  
Standards And Regulations ◽  
Service Adaptation ◽  
Software Services

The aim of the Cloud “as-a-service” concept is provisioning of software services to facilitate access to resources to a range of different users in different locations. Service adaptation through localization in this context can facilitate the internationalization and localization of services by allowing their adaption to different locales. Three localization dimensions are investigated: (1) lingual localization by providing service-level language translation techniques to adopt services to different languages; (2) regulatory localization by providing standards-based mappings to achieve regulatory compliance with regionally varying laws, standards, and regulations; and (3) social localization by taking into account preferences and customs for individuals and the groups or communities in which they participate. The objective is to support and implement an explicit modelling of aspects that are relevant to localization and runtime support consisting of tools and middleware services to automating the deployment based on models of locales, driven by the two localization dimensions.

scholarly journals Efficient and Optimal Service Component Distribution across Multiple Clouds

2018 ◽  
Vol 6 (3) ◽  
pp. 44 ◽  
Author(s):  
Driss Riane ◽  
Ahmed Ettalbi
Keyword(s):  
Cloud Services ◽  
Main Step ◽  
Service Component ◽  
Component Distribution ◽  
Cloud Broker ◽  
Optimal Service ◽  
Multiple Clouds ◽  
Lock In ◽  
Better Than

<span class="fontstyle0">Cloud computing technology is one of the key considerations for business willing to access to different cloud services over the Internet and to benefit from the diversity of IaaS offers and pricing models. Although several solutions are available in the market, there are still some issues to solve. The main important aspect to address is the user’s request complexity, the vendor lock-in risk and the SLA fulfillment. In this paper, we propose a Multi-Cloud Broker called MCB that allows an efficient and optimal service component distribution among different clouds in flexible and dynamic infrastructure provisioning environment, in order to achieve better Quality of Service and cost efficiency. The request partitioning is the main step of our approach, this step is performed using Gomory-Hu tree based algorithm. Our simulation results show how our algorithm is better than existing partitioning algorithms in terms of running time.</span>

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