Sentence examples for performance of the workloads from inspiring English sources
Our detailed experimental evaluation using both real and synthetic datasets illustrate that our approach improves the performance of the workloads as much as 50%, compared to its competitors.
In this section, the performance of the workload-driven partitioning is extensively evaluated and compared it with a schema level and Graph partitioning.
Core 2 Duo has the best performance for most of the workloads because of its microarchitecture features such as the shared L2 cache.
In this paper, we investigate the feasibility of using queuing network models with the support of simulation to study the SMP architectural impacts on the performance of commercial workloads.
This study also demonstrates that our modeling approach is feasible, cost-effective, and accurate for evaluating the performance of commercial workloads on SMPs, and it is complementary to the measurement-based experimental approaches.
The database life cycle shows steps that are needed in a methodical approach to database design from logical design to physical design that is based on maximizing the performance of the database under various workloads.
Experimental results verify that solutions selected by the Design Advisor improve by almost 100% the performance of workloads of hundreds of queries after running for less than three hours.
Srikantaiah et al. [24] have studied the interrelationships between energy consumption, resource utilization, and performance of consolidated workloads.
Benchmarks We adopted YCSB [9] a popular key-value benchmark from Yahoo to evaluate the log replication performance of the three methods, we used workloads containing heavy replace operations with read/write ratio of 0/100.
After analyzing the performance of scalable workload-driven partitioning in Amazon SimpleDB, it is comprehended that scalable workload-driven partitioning has got higher throughput and low response time in Amazon SimpleDB.
A major challenge of studying architectural effects on the performance of a commercial workload is the lack of easy access to large-scale and complex database engines running on a multiprocessor system with powerful I/O facilities.
