fields = c("Timestamp", "Tag", "appId", "Cores", "Executors", "Epsilon", "Mu", "Delta", "Time", "Load")
data_path = "~/Documents/PhD/Research/Scripts/R/R16/nohupCellSize.txt"
spark_submit = enframe(read_lines(data_path), name="n", value="line") %>% select(line) %>%
filter(grepl("spark-submit", line)) %>% separate(line, into=paste0("A", 1:13), sep = "--") %>%
select(A11) %>% mutate(A11 = str_trim(A11)) %>% separate(A11, c(NA,"CellSize"), sep = " ")
maximals = enframe(read_lines(data_path), name = "n", value = "line") %>% select(line) %>%
filter(grepl("MAXIMALS", line)) %>% separate(line, into = fields, sep = "\\|") %>%
mutate(Time = as.numeric(Time))
data = bind_cols(maximals, spark_submit) %>%
group_by(CellSize) %>% summarise(Time = mean(Time))
data$CellSize = factor(data$CellSize, levels = data$CellSize[order(as.numeric(data$CellSize))])
head(data %>% arrange(CellSize))
p = ggplot(data = data, aes(x = CellSize, y = Time)) +
geom_bar(stat="identity", position=position_dodge(width = 0.75), width = 0.7) +
theme(axis.text.x = element_text(angle = 0, hjust = 0)) +
labs(x="Cell size(m)", y="Time(s)", title="Execution time after varying cell size.")
plot(p)
![](data:image/png;base64,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)
- Cells are squares with length equal to ‘Cell size’.
- Dataset: Berlin(x3), Executors: 10 (4 cores each), Epsilon: 100 m, Mu: 3.
fields = c("Timestamp", "Tag", "appId", "Executors", "Cores", "Status", "Duration", "Stage", "Time", "Load","Bogus")
stage1 = enframe(read_lines(data_path), name = "n", value = "line") %>% select(line) %>%
filter(grepl("E\\.", line)) %>% filter(grepl("END", line)) %>% separate(line, into = fields, sep = "\\|") %>%
mutate(StageE = Stage, TimeE = as.numeric(Time), LoadE = as.numeric(Load)) %>% select(StageE, TimeE, LoadE)
stage2 = enframe(read_lines(data_path), name = "n", value = "line") %>% select(line) %>%
filter(grepl("F\\.", line)) %>% filter(grepl("END", line)) %>% separate(line, into = fields, sep = "\\|") %>%
mutate(StageF = Stage, TimeF = as.numeric(Time), LoadF = as.numeric(Load)) %>% select(StageF, TimeF, LoadF)
data = bind_cols(stage1, stage2, spark_submit) %>%
group_by(CellSize) %>% summarise(TimeE = mean(TimeE), LoadE = mean(LoadE), TimeF = mean(TimeF)) %>%
arrange(CellSize)
data$CellSize = factor(data$CellSize, levels = data$CellSize[order(as.numeric(data$CellSize))])
head(data)
- TimeE: Execution time for stage E (Expansion stage).
- LoadE: Number of disks replicated during expansions before to be evaluated by LCM stage
- TimeF: Execution time for stage F (LCM stage) to get maximal disks.
p = ggplot(data = data, aes(x = CellSize, y = TimeE)) +
geom_bar(stat="identity", position=position_dodge(width = 0.75), width = 0.7) +
theme(axis.text.x = element_text(angle = 0, hjust = 0)) +
labs(x="Cell size(m)", y="Time(s)", title="Execution time during disk partitioning stage (Expansion stage).")
plot(p)
![](data:image/png;base64,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)
- Dataset: Berlin(x3), Executors: 10 (4 cores each), Epsilon: 100 m, Mu: 3.
p = ggplot(data = data, aes(x = CellSize, y = TimeF)) +
geom_bar(stat="identity", position=position_dodge(width = 0.75), width = 0.7) +
theme(axis.text.x = element_text(angle = 0, hjust = 0)) +
labs(x="Cell size(m)", y="Time(s)", title="Execution time of maximal disks prunning (LCM stage).")
plot(p)
![](data:image/png;base64,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)
- Dataset: Berlin(x3), Executors: 10 (4 cores each), Epsilon: 100 m, Mu: 3.
p = ggplot(data = data, aes(x = CellSize, y = LoadE)) +
geom_bar(stat="identity", position=position_dodge(width = 0.75), width = 0.7) +
theme(axis.text.x = element_text(angle = 0, hjust = 0)) +
labs(x="Cell size(m)", y="Number of disks", title="Number of disks after expansion stage.")
plot(p)
![](data:image/png;base64,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)
- Dataset: Berlin(x3), Executors: 10 (4 cores each), Epsilon: 100 m, Mu: 3.