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Many large-scale online services use structured storage to persist metadata and sometimes data. The structured storage is typically provided by standard database servers such as Microsoft’s SQL Server. It is important to understand the workloads seen by these servers, both for provisioning server hardware as well as to exploit opportunities for energy savings and server consolidation. In this paper...
Large highly distributed data sets are poorly supported by current query technologies. Applications such as endsystem-based network management are characterized by data stored on large numbers of endsystems, with frequent local updates and relatively infrequent global one-shot queries. The challenges are scale (103 to 109 endsystems) and endsystem unavailability. In such large systems, a significant...
Today, management and tuning questions are approached using if...then... rules of thumb. This reactive approach requires expertise regarding of system behavior, making it difficult to deal with unforeseen uses of a system's resources and leading to system unpredictability and large system management overheads. We propose a what...if... approach that allows interactive exploration of the effects of...
We introduce the concept of multi-fidelity algorithms, which revises the classical notion of an algorithm. Instead of having a fixed output criterion and allowing the resource consumption to vary, we bound the resource consumption and allow the fidelity or output criterion to vary. We discuss how multi-fidelity algorithms can improve the latency and battery life of interactive mobile applications...
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