EDR: An Energy-Aware Runtime Load Distribution System for Data-Intensive Applications in the Cloud
Data centers account for a growing percentage of US power consumption. Energy e_ciency is now a first-class design constraint for the data centers that support cloud services. Service providers must distribute their data e_ciently across multiple data centers. This includes creation of data replicas that provide multiple copies of data for e_cient access. However, selecting replicas to maximize performance while minimizing energy waste is an open problem. State of the art replica selection approaches either do not address energy, lack scalability and/or are vulnerable to crashes due to use of a centralized coordinator. Therefore, we propose, develop and evaluate a simple cost-oriented decentralized replica selection system named EDR, implemented with two distributed optimization algorithms
- Research Organization:
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC05-76RL01830
- OSTI ID:
- 1117084
- Report Number(s):
- PNNL-SA-99707; KJ0402000
- Resource Relation:
- Conference: IEEE International Conference on Cluster Computing (CLUSTER 2013), September 23-27, 2013, Indianapolis, IN, 1-8
- Country of Publication:
- United States
- Language:
- English
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