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EM-KDE: A locality-aware job scheduling policy with distributed semantic caches
In modern query processing systems, the caching facilities are distributed and scale with the
number of servers. To maximize the overall system throughput, the distributed system should …
number of servers. To maximize the overall system throughput, the distributed system should …
[PDF][PDF] Locality-Aware Fair Scheduling in the Distributed Query Processing Framework
Y Eom - core.ac.uk
Utilizing caching facilities in modern query processing systems is getting more important as
the capacity of main memory is having been greatly increasing. Especially in the data …
the capacity of main memory is having been greatly increasing. Especially in the data …
Collaborative Multi-dimensional Dataset Processing with Distributed Cache Infrastructure in the Cloud
As modern large scale systems are built with a large number of independent small servers, it
is becoming more important to orchestrate and leverage a large number of distributed buffer …
is becoming more important to orchestrate and leverage a large number of distributed buffer …
Special issue for data intensive eScience
1 Background Data-intensive science is enabled by the data deluge and has been called
the “fourth paradigm” of scientific discovery. New fields are being born, such as drug …
the “fourth paradigm” of scientific discovery. New fields are being born, such as drug …
[NAVOD][C] EM-KDE: A Locality-Aware Job Scheduling Policy with Distributed Semantic Caches
YEDHJ Leea, JMMSB Nama