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Reddy, C. S.
- Stochastic Scheduling Algorithm for Distributed Cloud Networks using Heuristic Approach
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Authors
Affiliations
1 Department of Mathematics, GITAM University, Bangalore, IN
2 School of Computing, SASTRA University, Thanjour, IN
1 Department of Mathematics, GITAM University, Bangalore, IN
2 School of Computing, SASTRA University, Thanjour, IN
Source
International Journal of Advanced Networking and Applications, Vol 8, No 1 (2016), Pagination: 3009-3013Abstract
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.Full Text
- Scientific Trends and Role of Robots in the Agricultural Sector
Abstract Views :157 |
PDF Views:0
Authors
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
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
Source
International Journal of Advanced Networking and Applications, Vol 11, No 4 (2020), Pagination: 4345-4349Abstract
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.Full Text
- Multiprocessor Stochastic Model for Elastic Traffic with Different Service Capacity
Abstract Views :175 |
PDF Views:0
Authors
Affiliations
1 Department of Mathematics, CIT - North Campus Bangalore-562110, IN
1 Department of Mathematics, CIT - North Campus Bangalore-562110, IN
Source
International Journal of Advanced Networking and Applications, Vol 12, No 3 (2020), Pagination: 4601-4605Abstract
Mobile ad hoc network (MANET) is a self-organized mobile nodes group that is connected fairly with low wireless bandwidth links. This manuscript proposes an innovative efficient queuing architecture, which supports for both elastic and inelastic traffic arises real time world. Packets or jobs of inelastic flows are always preferred for service comparing to those of the elastic flows. If any link is significantly weighted down by the inelastic traffic, it causes in great delays. To sort the problem the virtual queue algorithm gives the veteran delay compare to virtual queues that are served at a fraction of the actual service rate and by using the virtual queue-length values in utility function.Keywords
Ad Hoc Networks, Multiprocessor Queuing Model, Dynamic Waiting Room, Mobile Networks.Full Text
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- Mamatha, E., S. Saritha, and C. S. Reddy. "Stochastic Scheduling Algorithm for Distributed Cloud Networks using Heuristic Approach." International Journal of Advanced Networking and Applications 8.1 (2016): 3009.
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