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RQ2: Significance of performance overhead.
Containers are advantageous over virtual machines in terms of performance overhead which is a major concern in the case of both data intensive applications and compute intensive applications.
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Xu et al. [32] present a survey on performance overheads of VM migration within inter-CDC, intra-CDC, and servers.
RQ2 What is the significance of the performance overhead in a realistic database deployment?
The data set is completely in-memory for the single-node and cluster setup, allowing for a consistent measurement of the performance overhead.
Such ONDMs however come at a cost of increased performance overhead, which may have a significant economic impact, especially in large distributed setups involving massive volumes of data.
This gives more flexibility to developers, since SDG-Pro also allows dynamic, custom properties to be included in scope definitions, but comes at the cost of additional performance overhead.
Statistical measurement and analysis of each approach and study of the exact performance overhead.
We itemize a few of them in the following: Statistical measurement and analysis of each approach and study of the exact performance overhead.
Xu et al. [17] have reviewed the state-of-the-art research on managing the performance overhead of virtual machines and summarize them under diverse scenarios of the infrastructure-as-a-service (IaaS), ranging from the single-server virtualization, a single mega datacenter, to multiple geodistributed datacenters.
Their empirical assessment shows that the extended version of Byzantium introduces a moderate performance overhead of roughly 30% over nonreplicated solutions in the TPC-C benchmark.
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