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Title: 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
Authors:
; ; ;
Publication Date:
OSTI Identifier:
1117084
Report Number(s):
PNNL-SA-99707
KJ0402000
DOE Contract Number:
AC05-76RL01830
Resource Type:
Conference
Resource Relation:
Conference: IEEE International Conference on Cluster Computing (CLUSTER 2013), September 23-27, 2013, Indianapolis, IN, 1-8
Publisher:
Institute of Electrical and Electronics Engineers , Piscataway, NJ, United States(US).
Research Org:
Pacific Northwest National Laboratory (PNNL), Richland, WA (US)
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English
Subject:
Energy efficiency; Cloud software; Modeling techniques; Runtime System