Zaki Ahmad Khan ¹, Jamshed Siddiqui ², Mahfooz Alam ³

Affiliations
1 College of Life Science Nanjing Agricultural University Nanjing, Jiangsu, CN
2 Department of Computer Science, Aligarh Muslim University, Aligarh – 202001, Uttar Pradesh, IN
3 Department of Computer Science, Al- Barkaat College of Graduate Studies, Aligarh – 202002, Uttar Pradesh, IN

Abstract

Objectives: Topropose analgorithm for better performance interms of scheduling and the network usage is economical. Method/Statistical Analysis: The dynamic task scheduling algorithm has been proposed for scheduling the load on numerous cube based multiprocessor interconnection networks. Especially the efficiency of the proposed algorithm is examined in terms of performance parameters for instance Load Imbalance Factor’s as well as Execution Time for cube based multiprocessor networks; Nevertheless, a comparison is created with other standard scheduling algorithm. Findings:The comparative simulation study shows that the proposed algorithm gives better performance in terms of task scheduling on various cube based multiprocessor networks. Application: The study in such a direction implies that the variety of processors in folded hypercube has been decreased thus minimizing the cost as well as intricacy of the network without reducing the efficiency of the network. Therefore, a combination of scalable folded hypercube architecture and efficient proposed algorithm is a better organization model that supports variety of informatics applications.

Keywords

Dynamic Scheduling Algorithm, Hypercube Networks, Interconnection Networks, Minimum Distance Property, Scheduling Performance Parameter

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Mahfooz Alam ¹, Zaki Ahmad Khan ²

Affiliations
1 Department of Computer Science, Al- Barkaat College of Graduate Studies, Aligarh - 202002, Uttar Pradesh, IN
2 College of Life Science, Nanjing Agricultural University, Nanjng-Jiangsu, CN

Abstract

Objectives: To enlighten the issues and challenges of Load Balancing Algorithm (LBA) for cloud computing environment. In this study the authors proposed a LBA for cloud computing server. Methods/Statistical Analysis: The numerous LBAs are compared with objective, merit, demerit and challenges of the LBA in terms of parameters such as performance, response time, scalability, overhead and many more. This study facilitates identification of efficient LBA for optimizes resource use, minimum response time, maximum throughput and avoidance of overload. Findings: The load balancer is permitted in most instances to provide support continuity as well as dealing with extra traffic. Consequently the useful load balancing algorithms required to find inexpensive resource usage by provisioning of resources to cloud users. The use of proposed algorithm is to improve the overhead and load imbalance factor of the system. Application: The Load Balancing (LB) is a vital feature of cloud computing environment. The economical LB algorithm assures cost effective resource usage by provisioning of resources to cloud users on demand schedule in pay-as-you-say-manner. The LB may actually provide assistance prioritizing users by using suitable scheduling requirements and also it is crucial part in cloud computing for maintaining the work load across various systems over the network and gives minimum processing time, minimum response time and ignores the workload.

Keywords

Cloud Computing, Load Balancing Algorithm, LEC Server, LIF, Static and Dynamic Algorithm

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