International Journal of Advanced Networking and Applications

E. Mamatha ¹, S. Saritha ¹, C. S. Reddy ²

Affiliations
1 Department of Mathematics, GITAM University, Bangalore, IN
2 School of Computing, SASTRA University, Thanjour, IN

Abstract

Rule based heuristic scheduling algorithms in real time and cloud computing Systems employ for resource or task scheduling since they are suitable to implement for NP-complete problems. However, they are simple but there is much room to improve these algorithms. This study presents a heuristic scheduling algorithm, called High performance hyper-heuristic scheduling algorithm (HHSA) using detection operator, to find better scheduling solutions for real and cloud computing systems. The two operators - diversity detection and improvement detection operators - are employed in this algorithm to determine the timing to determine the heuristic algorithm.. These two are employed to dynamically determine a low level heuristic that can be used to find better solution. To evaluate the performance of this method, authors examined the above method with several scheduling algorithms and results prove that Hyper Heuristic Scheduling Algorithm can significantly decrease the makespan of task scheduling when compared with all other scheduling algorithms. A novel high-performance hyper-heuristic algorithm is proposed for scheduling on cloud computing systems to reduce the makespan. This algorithm can be applied to both sequence dependent and sequence independent scheduling problems.

Keywords

Heuristic Algorithm, Scheduling Tasks, Cloud Computing, Diversity Detection.

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E. Mamatha ¹, S. Saritha ¹, Krishna Anand ², C. S. Reddy ³

Affiliations
1 Department of Mathematics, GITAM University, Bangalore-561203, IN
2 Department of Computer Science, Sreenidhi Inst of Tech, Hyderabad, IN
3 Department of Mathematics, CIT –North Campus, Bangalore, IN

Abstract

The agriculture sector is essential to implement the automation technology to growrapidly for better results and to produce crops for the requirement of the world population in the present scenario. Present existing technology and old mythologies and tools and types of machinery are not sufficient to achieve the targets. The enhanced technology and optimized energy utilization tools are straightaway to be adopted in the form of information technology machines that are more effective with old methods. The precision formation has revealed the advantages of machinery technology but needs to improve more for the next new equipment for the coming generations, which we call robotics technologies. The initiation of an autonomous system gives us a better prospect to build up a completely new variety of farming kits with the support of small elegant equipments like types of machinery which will do an accurate process, at the right time with the exact place, in the correct approach. A machine that contains an automatic control mechanism tracks the front running vehicle and follows, which has advantages of both vehicles that can be controlled and monitored effectively by a single driver in large farming sectors.

Keywords

Agriculture Robots, Automation, Vehicle Control, Agricultural Sector, Vehicle Monitoring.

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