NDLI: T.: Energy and PerformanceCan a Wimpy-Node Cluster Challenge a Brawny Server? CoRR abs/1407.0386 (2014)

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T.: Energy and PerformanceCan a Wimpy-Node Cluster Challenge a Brawny Server? CoRR abs/1407.0386 (2014)

Content Provider	CiteSeerX
Author	Schall, Daniel Härder, Theo
Abstract	Abstract: Traditional DBMS servers are often over-provisioned for most of their daily workloads and, because they do not provide energy proportionality, waste more energy than necessary. A cluster of wimpy servers, where the number of nodes can dynami-cally adjust to the current workload, might offer better energy characteristics for these workloads. Yet, clusters suffer from friction losses and cannot quickly adapt to the workload, whereas a single server delivers maximum performance instantaneously. Designed for a cluster of nodes, our WattDB system primarily aims at energy pro-portionality for a wide range of DB applications. In this paper, we check this system under OLTP and OLAP workloads against a single-server DBMS in terms of through-put/response time and energy efficiency. To test the system’s ability to adjust to chang-ing workloads, we execute several benchmark at differing system activity levels. To quantify possible energy saving and its conceivable drawback on query runtime, we evaluate our WattDB implementation—to obtain maximum accuracy possible—on a cluster of wimpy nodes as well as on a single, brawny server and compare the results w.r.t. performance and energy consumption. Our findings confirm that—especially for OLAP workloads—energy can be saved without sacrificing too much performance. 1
File Format	PDF
Publisher Date	2014-01-01
Access Restriction	Open
Subject Keyword	Brawny Server Wimpy-node Cluster Challenge Energy Consumption Energy Characteristic Conceivable Drawback Wimpy Node Several Benchmark System Ability Through-put Response Time System Activity Level Db Application Single-server Dbms Traditional Dbms Server Query Runtime Possible Energy Saving Olap Workload Energy Proportionality Maximum Accuracy Single Server Delivers Maximum Performance Much Performance Wattdb System Energy Efficiency Wimpy Server Current Workload Friction Loss Wattdb Implementation Chang-ing Workload Daily Workload Wide Range Energy Pro-portionality Olap Workload Energy
Content Type	Text
Resource Type	Article

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