Exact(6)
Spark algorithm deployment differed from AsterixDB is terms of resource allocation for Spark processes (CPU, memory).
The test client transmits tweets and commands for analytical queries simultaneously to Spark processes (S6, S7).
Implementation of word count and sentiment analysis algorithms, and tweet loading process were executed in separate Spark processes.
Then, Spark processes (tweet loader, algorithms) are started at the server (S4), and connections are established to the test client (S5).
Spark: memory allocation = 30 GB per worker/VM (1 node experiment), memory was divided evenly to Spark processes [tweet receiver, algorithms (Fig. 1)] in cluster experiments.
Spark: CPU allocation: all virtual cores for VM (1 node experiment), virtual CPUs were divided evenly to Spark processes in cluster experiments.
Similar(54)
Figure 1 Schematics of spark discharge process and patterned growth of CNTs with different densities.
Figure 1 shows schematic diagrams of the spark discharge process, selective deposition of aerosol nanoparticles, and the resultant site-specific growth of CNTs.
Open image in new window Fig. 7 Spark process of delay aggregation query.
Spark process of an algorithm is started at the server (S10), and a connection is established to the test client (S11).
S-k NN (three sessions): A three-sessions version of S-kNN, where each stage is executed by a different Spark process.
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