Profit-Aware Server Allocation for Green Internet Services
Michele Mazzucco, Dmytro Dyachuk, Marios Dikaiakos

TL;DR
This paper proposes a dynamic server allocation policy that balances maximizing profit and minimizing energy costs in a server farm serving impatient customers, demonstrating effective performance across various traffic scenarios.
Contribution
It introduces a novel profit-aware dynamic server allocation policy that optimizes service quality and energy consumption, validated through extensive experiments.
Findings
The scheme improves profit while reducing energy costs.
It adapts well to different traffic conditions.
Customers experience fewer delays and leave less frequently.
Abstract
A server farm is examined, where a number of servers are used to offer a service to impatient customers. Every completed request generates a certain amount of profit, running servers consume electricity for power and cooling, while waiting customers might leave the system before receiving service if they experience excessive delays. A dynamic allocation policy aiming at satisfying the conflicting goals of maximizing the quality of users' experience while minimizing the cost for the provider is introduced and evaluated. The results of several experiments are described, showing that the proposed scheme performs well under different traffic conditions.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsCaching and Content Delivery · Cloud Computing and Resource Management · Peer-to-Peer Network Technologies
