Research Article
An Energy-Efficient Strategy and Secure VM Placement Algorithm in Cloud Computing
| | Input: TS = {ts1, ts2, …, tsn} ⟶ Tasks set, | | | DLS = {dls1, dls2, …, dlsn} ⟶ Deadlines set. | | | Output: RQ (Refreshed Queue). | | | Shorting all the service request task in ascending order based on their deadlines | | (1) | for x = 1 to n then we have to do | | (2) | RQ[x] ← DeleteMin (TSx) | | (3) | DeleteMin (TSx) will delete the task which contains less dlsx value | | (4) | end for loop | | | return RQ |
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