Distributed Database Management Systems and the Data Grid
MSS '01 Proceedings of the Eighteenth IEEE Symposium on Mass Storage Systems and Technologies
Database Replication Techniques: A Three Parameter Classification
SRDS '00 Proceedings of the 19th IEEE Symposium on Reliable Distributed Systems
Comparison of Database Replication Techniques Based on Total Order Broadcast
IEEE Transactions on Knowledge and Data Engineering
Seamless live migration of virtual machines over the MAN/WAN
Proceedings of the 2006 ACM/IEEE conference on Supercomputing
Live data center migration across WANs: a robust cooperative context aware approach
Proceedings of the 2007 SIGCOMM workshop on Internet network management
A survey of data replication techniques for mobile ad hoc network databases
The VLDB Journal — The International Journal on Very Large Data Bases
Cutting the electric bill for internet-scale systems
Proceedings of the ACM SIGCOMM 2009 conference on Data communication
Minimizing data center cooling and server power costs
Proceedings of the 14th ACM/IEEE international symposium on Low power electronics and design
Future Generation Computer Systems
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The continuously rising energy demand of data centers has already reached the two-digit megawatt area by now. The rising energy costs force operators to search for effective methods for energy reduction. A popular, software based instrument is consolidation using virtualization, since this provides also high flexibility for changing business requirements. Dynamic load management can introduce an even stronger consolidation here. An enterprise maintaining more than just one data center can also apply a distributed data center comprehensive load management. This paper presents a vision minimizing the energy requirement or energy costs, using geographical specific characteristics of servers and data centers. The potential for savings of the introduced distributed load management can be up to 40%.