A Critical Review on Load Balancing, Task And Resource Scheduling In A Cloud Environment

1. OCT 8, 2019 Research Paper CRITICAL REVIEW LOAD BALANCING, TASK AND RESOURCE SCHEDULING IN CLOUD ENVIRONMENT The Best UK Dissertation Research Topics from Existing Recent Research Gaps in Computer Science Engineering Domain Critical Review In Cloud Computing, Engineering & Technology Tags: Tutors India Computer Science Dissertation Topics Topics in Computer Science Computer Science dissertation help Dissertation | Assignment | Essay | Statistical Analysis | Coding & Algorithm | Resit Dissertation | Powerpoint | Poster Copyright © 2019 TutorsIndia. All rights reserved

2. Reviewed the literature article by considering load balancing, task and resource scheduling method for efficient cloud service provisioning. There is a possibility to minimize the total cost of computation by new scheduling method on the basis of bio-inspired heuristics. SHORT NOTES Single objective- and multi-objective-based task scheduling method for making multidimensional task and resource scheduling model. Tested the suggested system performance using CloudSim simulator toolkit. Dissertation | Assignment | Essay | Statistical Analysis | Coding & Algorithm | Resit Dissertation | Powerpoint | Poster Copyright © 2019 TutorsIndia. All rights reserved

3. TutorsIndia Lab @ TutorsIndia.Com Engineering & technology (E&T) Lab at TutorsIndia is involved in exploring novel research areas by conducting dynamic research. It promotes innovation in all fields of engineering by advancing the technology with structured and continuous research. The problems and challenges faced by the existing technologies and trends are explored by our researchers exists in scholarly literature, in theory, or in practices that needs deliberate investigation. These problems are identified and fixed by our researchers by suggesting better novel alternatives with appropriate tools, technologies and approaches, thereby proving their effectiveness in real time applications. Dissertation | Assignment | Essay | Statistical Analysis | Coding & Algorithm | Resit Dissertation | Powerpoint | Poster Copyright © 2019 TutorsIndia. All rights reserved

4. LOAD BALANCING, TASK AND RESOURCE SCHEDULING IN CLOUD ENVIRONMENT - RESEARCH PAPER Dissertation | Assignment | Essay | Statistical Analysis | Coding & Algorithm | Resit Dissertation | Powerpoint | Poster Copyright © 2019 TutorsIndia. All rights reserved

5. 01 Priya et al.  (2018) presented a load balancing (LB) and resource scheduling (RS) approach for efficient cloud service provisioning. The simulated results shown that attained better performance with respect to high resource scheduling efficiency, average success rate and reduced the response time. Future Research Scope for PhD Scholars based on Priya et al: But the primary criteria called, scheduling of task not addressed. Also, need to consider LB and RS of intermediate data toward enhancing the system performance by considering privacy-preserving as a metric together with other metrics like average response time and success ration. Dissertation | Assignment | Essay | Statistical Analysis | Coding & Algorithm | Resit Dissertation | Powerpoint | Poster Copyright © 2019 TutorsIndia. All rights reserved

6. 02 Nasr et al. (2018) suggested an Online Potential Finish Time (OPFT) task scheduling method for enhancing the scheduling performance and resolve the QoS issues. The performance of OPFT method is assessed via CloudSim, and the simulated results indicate that this method better efficient. Future Research Scope for PhD Scholars based on Nasr et al: However, the scheduling performance is poor; hence there is a need to improving the scheduling efficiency. Also, integrity of virtual machine and overhead, multidimensional resource scheduling was not addressed. Dissertation | Assignment | Essay | Statistical Analysis | Coding & Algorithm | Resit Dissertation | Powerpoint | Poster Copyright © 2019 TutorsIndia. All rights reserved

7. 03 Adhikari et al. (2019) suggested a load balancing resource clustering method approach toward attaining optimal resource clustering and their cluster centers for faster convergence via meta- heuristic Bat-algorithm. Future Research Scope for PhD Scholars based on Ashikari et al: The suggested method has been evaluated by considering synthetic datasets, as a resulted shown superiority than the traditional approach. But, the integrity of VM and overhead remain unaddressed. Also, needs to validate its performance for the multidimensional resource scheduling process. Dissertation | Assignment | Essay | Statistical Analysis | Coding & Algorithm | Resit Dissertation | Powerpoint | Poster Copyright © 2019 TutorsIndia. All rights reserved

8. 04 Adhikari et al. (2019) proposed a chaotic symbiotic organisms search (CMSOS) method for resolving multi-objective large scale task scheduling optimization issues on cloud computing environment. The suggested model performance has been evaluated using synthesized workloads, and standard workload traces for huge instances. The simulated results of CMSOS shown better optimal trade-offs. Future Research Scope for PhD Scholars based on Adhikari et al: However, the resource management, integrity of VM remains unaddressed. Also, needs to handle QoS requirements like security and reliability for very large workload instances. Dissertation | Assignment | Essay | Statistical Analysis | Coding & Algorithm | Resit Dissertation | Powerpoint | Poster Copyright © 2019 TutorsIndia. All rights reserved

9. 05 Chaudhary and Kumar  (2019) presented a Hybrid Genetic-Gravitational Search Algorithm (HG-GSA) based load scheduling technique for minimizing the computation cost. The simulated results have shown that they minimized the computation cost which significantly improved the system performance than the traditional method. But the suggested method is not suitable for multidimensional resource scheduling strategies. Future Research Scope for PhD Scholars from Chaudhary: The task scheduling and resource management remain unaddressed. Also, there is possibility to minimize the total cost of computation by new scheduling method on the basis of bio-inspired heuristics. Dissertation | Assignment | Essay | Statistical Analysis | Coding & Algorithm | Resit Dissertation | Powerpoint | Poster Copyright © 2019 TutorsIndia. All rights reserved

10. 06 Arunarani et al. (2019) reviewed the available task scheduling methods and related metrics which is appropriate for a cloud platform. At the end of research they have recommended enhancing the effectiveness of scheduling by combining virtual machine consolidation and task scheduling strategies. Also, will consider the different input parameters. Future Research Scope for PhD Scholars based on Arunarani et al: Then, there should be a need for single objective- and multi-objective-based task scheduling for enhancing the system performance by hybrid combination of earlier algorithms. But the major concern like integrity of virtual machine and overhead, load balancing, resource management remains unaddressed. Dissertation | Assignment | Essay | Statistical Analysis | Coding & Algorithm | Resit Dissertation | Powerpoint | Poster Copyright © 2019 TutorsIndia. All rights reserved

11. COMPARISON TABLE WORK BY METHOD S.No. IMPLEMENTATION TOOL FINDINGS & CONCLUSION LIMITATION / FUTURE SCOPE High resource scheduling efficiency. Reduced the system response time. Scheduling of task not addressed. Needs to validate the performance of success ration. CloudSim simulator toolkit LB 1) Priya et al.(2018) and RS method Scheduling performance is poor. Multidimensional resource scheduling was not addressed. Multidimensional resource scheduling was not addressed. Needs to scrutinize the trade-off among different nature-inspired algorithms with task deployment policies. CloudSim simulator toolkit OPFT task scheduling method Task Completion Time has been minimized Nasr et al. (2018) 2) Load balancing resource clustering method Attained less execution cost, makespan within the given constraints CloudSim simulator toolkit 3) Adhikari et al. (2019) Better optimal trade-offs amongst financial cost (cost) and execution time. There is no computational overhead. Resource management, integrity of VM remains unaddressed. To validate the performance for large workload instances. CloudSim simulator toolkit Adhikari et al. (2019) CMSOS method 4) HG-GS based load scheduling technique Chaudhary and Kumar (2019) Task scheduling and resource management remain unaddressed CloudSim simulator toolkit 5) Minimized the computation cost Suggested to enhance the system performance by single and multi-objective-based task scheduling Reviewed the task scheduling methods and related metrics To enhance of scheduling performance by combining VM consolidation and task scheduling strategies Arunarani et al. (2019) NA 6) Dissertation | Assignment | Essay | Statistical Analysis | Coding & Algorithm | Resit Dissertation | Powerpoint | Poster Copyright © 2019 TutorsIndia. All rights reserved

12. RECOMMENDATIONS To scrutinize the trade-off among different nature-inspired algorithms with task deployment policies for various types of service level agreements (SLA) with their penalties and load balancing policies. To minimize the total cost of computation by a new scheduling method on the basis of bio-inspired heuristics. Also will enhance the system performance by hybrid combination of single objective- and multi-objective-based task scheduling method. To enhancing the cloud system performance for the multidimensional dataset by considering integrity of virtual machine, overhead and multidimensional resource scheduling strategies. To handle various QoS requirements like security and reliability for very large workload instances. Dissertation | Assignment | Essay | Statistical Analysis | Coding & Algorithm | Resit Dissertation | Powerpoint | Poster Copyright © 2019 TutorsIndia. All rights reserved

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