Information Technology Reference
In-Depth Information
Table 1.
(
continued
)
Enhanced IC-
PCP with
Replication
(EIPR) algo-
rithm
Reduce execu-
tion time by
59% compared
to the IC-PCP
algorithm
Deadline
and total
cost
Dependency
mode
Cloud Envi-
ronment
Cloud-
Sim
It saved 5%
time compared
to SPEA2* and
HEFT with
the cost de-
creased by half
Multi-
objective
workflow
scheduling
Batch
/dependency
mode
Execution
cost, Total
time
Cloud Envi-
ronment
Amazon
EC2
Minimum
Total Cost
Under User-
designated
Total Dead-
line algorithm
It decrease
17% cost and
20% time
compared to
Deadline-MDP
algorithm
Batch
/dependency
mode
Cost, Dead-
line time
Cloud Envi-
ronment
Cloud-
Sim
Auto-Scaling
to Minimize
Cost and Meet
Application
Deadlines
Save from
9.8% to 40.4%
compared to
other ap-
proaches
Deadlines,
cost and lag
of instance
Dependency
mode
Cloud Envi-
ronment
Other
Scaling and
Scheduling to
Maximize
Application
Performance
with Budget
Constraints
Budget ,
workload
and job
turnaround
time
Reduce the job
turnaround
time by 9.6%-
45.2% and
good tolerance
Dependency
mode
Cloud Envi-
ronment
Cloud-
Sim
Compromise-
Cost-Time
Algorithm
Reduce the
time and cost
Cloud Envi-
ronment
Swin-
DeW-C
Batch mode
Cost, Time
A Particle
Swarm Opti-
zation (PSO)-
based Heuris-
tic for Sche-
duling
It saved three
times cost
compared to
BRS and has
good distribu-
tion workload
Computa-
tional and
data trans-
mission
cost
Dependency
mode
Cloud Envi-
ronment
Amazon
EC2
