Journal ArticleDOI
Bidding Strategies for Spot Instances in Cloud Computing Markets
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TLDR
This work uses data based on Amazon's Elastic Compute Cloud spot market to provide users with guidelines when considering tradeoffs between cost, wait time, and interruption rates, and recommends bidding strategies in spot markets.Abstract:
In recent times, spot pricing -- a dynamic pricing scheme -- is becoming increasingly popular for cloud services. This new pricing format, though efficient in terms of cost and resource use, has added to the complexity of decision making for typical cloud computing users. To recommend bidding strategies in spot markets, we use a simulation study to understand the implications that provider-recommended strategies have for cloud users. We use data based on Amazon's Elastic Compute Cloud spot market to provide users with guidelines when considering tradeoffs between cost, wait time, and interruption rates.read more
Citations
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Journal ArticleDOI
Cost-Efficient Strategy in Clouds with Spot Price Uncertainty
Evgeny Ivashko,Evgeny Ivashko,Anna A. Ivashko,Anna A. Ivashko,Georgy R. Safonov,Andrei Tchernykh +5 more
TL;DR: This work proposes stochastic optimization model to minimize the expected resource rental cost in the presence of spot price uncertainty based on the well-known full-information best-choice problem and derives the strategy for cloud spots bidding.
Journal ArticleDOI
Perceptive bidding strategy for Amazon EC2 spot instance market
Proceedings ArticleDOI
Utility-Based Strategy for Balanced Cost and Availability at the Cloud Spot Market
Gustavo Portella,Eduardo Yoshio Nakano,Genaína Nunes Rodrigues,Alba Cristina Magalhaes Alves de Melo +3 more
TL;DR: This work proposes and evaluates a utility-based strategy that balances spot instance cost and availability to Amazon EC2 users and shows that the average availability reaches up to 98% for spot instances.
Book ChapterDOI
Distributed Algorithm with Inherent Intelligence for Multi-cloud Resource Provisioning
TL;DR: To maximize the revenue and diminish cost of services in the pooled aggregated resources of multi-cloud environment, the multi-dimensional self-optimization problem in distributed autonomic computing systems is proposed.
DissertationDOI
Cloud Networks as Platform-based Ecosystems : Detecting Management Implications for Actors in Cloud Networks
TL;DR: The construction of a reference model that can display such networks and therefore supports risk identification and provides a better understanding of cloud networks and causalities between related risks is addressed.
References
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Proceedings ArticleDOI
Feature-rich part-of-speech tagging with a cyclic dependency network
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Journal ArticleDOI
Predicting the Present with Google Trends
Hyunyoung Choi,Hal R. Varian +1 more
TL;DR: This paper used search engine data to forecast near-term values of economic indicators, such as automobile sales, unemployment claims, travel destination planning, and consumer confidence, and showed how to use this information to forecast future economic indicators.
Journal ArticleDOI
Predicting the Present with Google Trends
TL;DR: In this paper, the authors used Google Trends and Google Insights for Search data to predict economic activity, including automobile sales, home sales, retail sales, and travel behavior, and found that Google Trends data can help improve forecasts of the current level of activity for a number of different economic time series.
Proceedings ArticleDOI
Recommender systems in e-commerce
TL;DR: An explanation of howRecommender systems help E-commerce sites increase sales, and a taxonomy of recommender systems, including the interfaces they present to customers, the technologies used to create the recommendations, and the inputs they need from customers.