Profit Driven Decision Assist System to Select Efficient IaaS Providers
نویسندگان
چکیده
منابع مشابه
Profit Driven Decision Trees for Churn Prediction
Customer retention campaigns increasingly rely on predictive models to detect potential churners in a vast customer base. From the perspective of machine learning, the task of predicting customer churn can be presented as a binary classification problem. Using data on historic behavior, classification algorithms are built with the purpose of accurately predicting the probability of a customer d...
متن کاملA Novel Trust Management System for Cloud Computing - IaaS Providers
Trust is one of the most important means to improve the reliability of computing resources provided in cloud environment and it plays an important role in commercial cloud environments. Trust is the estimation of capability of a cloud resource in completing a task based on reputation, identity, behavior, and availability in the context of distributed environment. It helps customer in the select...
متن کاملA Decision Support System (DSS) to Select the Premier Fuel to Develop in the Value Chain of Natural Gas
A value chain is a series of events that takes a raw material and with each step adds value to it. Global interest in the application of natural gas (NG) in production and transportation has grown dramatically, representing a long-term, low-cost, domestic, and secure alternative to petroleum-based fuels. Many technological solutions are currently considered on the market or in development, whic...
متن کاملProfit-Aware DVFS Enabled Resource Management of IaaS Cloud
Power consumption of IaaS Cloud is growing at a rapid pace during the last decade. This leads to high operational and maintenance cost, and also reducing the profit margin of IaaS Cloud providers. Apparently profit margin depends on operational cost and revenue earned to comply with the Service Level Agreement (SLA) on the basis of achieved performance level. In this paper, we are building the ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Electrical and Computer Engineering (IJECE)
سال: 2018
ISSN: 2088-8708,2088-8708
DOI: 10.11591/ijece.v8i6.pp4398-4411