Abstract:
With an increase in the usage of data centers to power content distribution networks (CDN), minimizing the cost of deployment while handling fault-tolerance has become an...Show MoreMetadata
Abstract:
With an increase in the usage of data centers to power content distribution networks (CDN), minimizing the cost of deployment while handling fault-tolerance has become an important research issue. In this work, we demonstrate the importance of cost-aware capacity provisioning in fault-tolerant CDN data centers (that can tolerate failure at a single site). We propose an optimization model that exploits spatio-temporal variation in the electricity price and demand to minimize the total cost of ownership. We use real-world data to show that the cost reduction can be upto 40% compared to the existing model, which minimizes the expected response time by routing requests to a nearby data center.
Published in: 2016 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)
Date of Conference: 06-09 November 2016
Date Added to IEEE Xplore: 15 June 2017
ISBN Information:
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Data Center ,
- Fault-tolerant ,
- Content Delivery Network ,
- Response Time ,
- Cost Reduction ,
- Optimal Model ,
- Real-world Data ,
- Power Demand ,
- Price Variation ,
- Increase In Usage ,
- Important Issue For Research ,
- Increase In The Number ,
- Single Center ,
- Multiplexing ,
- Number Of Centers ,
- Provisioning ,
- Time Zones ,
- Mixed Integer Linear Programming ,
- User Location ,
- Propagation Delay ,
- Latency Constraints ,
- Carbon Tax ,
- Availability Constraints ,
- Maximum Delay ,
- Disaster Resilience ,
- Client Requests
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Data Center ,
- Fault-tolerant ,
- Content Delivery Network ,
- Response Time ,
- Cost Reduction ,
- Optimal Model ,
- Real-world Data ,
- Power Demand ,
- Price Variation ,
- Increase In Usage ,
- Important Issue For Research ,
- Increase In The Number ,
- Single Center ,
- Multiplexing ,
- Number Of Centers ,
- Provisioning ,
- Time Zones ,
- Mixed Integer Linear Programming ,
- User Location ,
- Propagation Delay ,
- Latency Constraints ,
- Carbon Tax ,
- Availability Constraints ,
- Maximum Delay ,
- Disaster Resilience ,
- Client Requests