TY  - JOUR
TI  - Multi Attribute Completeness Measure Based  Shortest Job First Algorithm in Cloud Environment
AU  - H. Krishnaveni 
AU  -  Dr. V. Sinthu Janita Prakash
JO  - International Journal of Scientific Research in Computer Science, Engineering and Information Technology
PB  - Technoscience Academy
DA  - 2018/04/30
PY  - 2018
DO  - https://doi.org/10.32628/IJSRCSEIT
UR  - https://ijsrcseit.com/CSEIT1833734
VL  - 3
IS  - 3
SP  - 1882	
EP  - 1887
AB  - The problem of scheduling in cloud environment has been studied in different situations. There are many techniques n presented earlier, but suffers to achieve the scheduling performance. To overcome these problems, an efficient multi attribute completeness measure based task-scheduling algorithm has been discussed in this paper. The method maintains a history of tasks being processed and using that, the method identifies the list of tasks being completed by any resource. For each resource, the method computes the task completeness measure, which is computed using resources available, previous rate of completion and waiting time. Based on computed completeness measure, the method allocates the task to a specific resource using shortest job first. This algorithm reduces waiting time, turnaround time and improves the performance of scheduling.