A Consumer-Centric Market for Database Computation in the Cloud
Yue Wang, Alexandra Meliou, Gerome Miklau

TL;DR
This paper introduces a market-based framework with an intermediary agent for pricing cloud computational tasks, simplifying consumer decisions and ensuring fairness, competitiveness, and resilience in cloud resource allocation.
Contribution
It proposes a novel agent-based market framework for cloud pricing that integrates with existing markets and optimizes complex workflows.
Findings
Framework ensures competitiveness, fairness, and resilience.
Empirical evaluation over real cloud services demonstrates effectiveness.
Pricing mechanism can significantly increase agent profits.
Abstract
The availability of public computing resources in the cloud has revolutionized data analysis, but requesting cloud resources often involves complex decisions for consumers. Under the current pricing mechanisms, cloud service providers offer several service options and charge consumers based on the resources they use. Before they can decide which cloud resources to request, consumers have to estimate the completion time and cost of their computational tasks for different service options and possibly for different service providers. This estimation is challenging even for expert cloud users. We propose a new market-based framework for pricing computational tasks in the cloud. Our framework introduces an agent between consumers and cloud providers. The agent takes data and computational tasks from users, estimates time and cost for evaluating the tasks, and returns to consumers contracts…
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Taxonomy
TopicsScientific Computing and Data Management · Distributed and Parallel Computing Systems · Advanced Data Storage Technologies
