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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.

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1

Energy-Efficient Key/Value Store

Tena, Frezewd Lemma 11 September 2017 (has links) (PDF)
Energy conservation is a major concern in todays data centers, which are the 21st century data processing factories, and where large and complex software systems such as distributed data management stores run and serve billions of users. The two main drivers of this major concern are the pollution impact data centers have on the environment due to their waste heat, and the expensive cost data centers incur due to their enormous energy demand. Among the many subsystems of data centers, the storage system is one of the main sources of energy consumption. Among the many types of storage systems, key/value stores happen to be the widely used in the data centers. In this work, I investigate energy saving techniques that enable a consistent hash based key/value store save energy during low activity times, and whenever there is an opportunity to reuse the waste heat of data centers.
Energieeffizienz
Schlüssel / Wert-Shop
konsistentes Hashing
Apache Cassandra
Reihenpartition
Micro-Clouds-System
Kantenwolken
Rechenzentrum Energieeffizienz
Datenplatzierung
Replik-Platzierung
Energy efficiency
key/value store
consistent hashing
Apache Cassandra
row partitioned
micro-clouds system
edge clouds
data center energy efficiency
data placement
replica placement
ddc:004
rvk:ST 265
2

Energy-Efficient Key/Value Store

Tena, Frezewd Lemma 29 August 2017 (has links)
Energy conservation is a major concern in todays data centers, which are the 21st century data processing factories, and where large and complex software systems such as distributed data management stores run and serve billions of users. The two main drivers of this major concern are the pollution impact data centers have on the environment due to their waste heat, and the expensive cost data centers incur due to their enormous energy demand. Among the many subsystems of data centers, the storage system is one of the main sources of energy consumption. Among the many types of storage systems, key/value stores happen to be the widely used in the data centers. In this work, I investigate energy saving techniques that enable a consistent hash based key/value store save energy during low activity times, and whenever there is an opportunity to reuse the waste heat of data centers.
info:eu-repo/classification/ddc/004
ddc:004

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