Fig 1.
MASMINC Architeture.
Table 1.
MASMINC Scenario.
Fig 2.
Communication between Agents of MASMINC and CSRE Agent.
Fig 3.
Communication between Agents of MASMINC and GCUM Agent.
Table 2.
Types of Messages that are exchanged between MASMINC Agents.
Fig 4.
Illustration of the working of MASMINC (assuming JADE run-time).
Fig 5.
Different CFPA Distribution Schemes.
(a) Constant Distribution of CFPA–All agents get the same amount of CFPA (b) Uniform Distribution of CFPA–Distribution of CFPA to agents is variable but all local values of CFPA should add up to the Global CFPA limit of the company (c) Customized Distribution of CFPA–Some random agents are assigned very higher values of CFPA (d) Triangular Distribution of CFPA–distribution of CFPA to agents follows Triangular distribution.
Fig 6.
Examples of rule in a Rule File.
Fig 7.
Example rules for turning off or hibernating a particular machine.
Fig 8.
State transition model of a typical personal computer.
Fig 9.
NetLogo Simulation plot showing the normal workplace carbon footprint Allowance usage in 24 hours of a day.
(a) with n = 100 without MASMINC (b) with n = 100 with MASMINC (c) with n = 500 without MASMINC (d) with n = 500 with MASMINC (e) with n = 1000 without MASMINC and (f) with n = 1000 with MASMINC.
Fig 10.
Results of 50 Simulation experiments with n = 100 computers during a day before and after applying the proposed MASMINC Approach.
Fig 11.
Results of 50 Simulation experiments with n = 500 computers during a day before and after applying the proposed MASMINC Approach.
Fig 12.
Results of 50 Simulation experiments with n = 1000 computers during a day before and after applying the proposed MASMINC Approach.
Fig 13.
Results of 50 simulation experiments of daily Carbon Footprint Allowance Usage of computers ranging from 100 to 1000 during a day showing error bars with 95% Confidence Interval with Energy Star (Left) and with MASMINC (right).