Demand-Response through Power Robust Scheduling using Algorithm for Grid Computing

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
© 2017 by IJETT Journal
Volume-51 Number-2
Year of Publication : 2017
Authors : Rupinder Kaur, Prof. Gagandeep kaur


Rupinder Kaur, Prof. Gagandeep kaur "Demand-Response through Power Robust Scheduling using Algorithm for Grid Computing", International Journal of Engineering Trends and Technology (IJETT), V51(2),62-65 September 2017. ISSN:2231-5381. published by seventh sense research group

Task schedulers target to improve the whole performance for a segment, e.g., decreasing the average work response time and increasing the number for tasks accomplished in certain point for time. A ‘Network’ stands an arrangement aimed at reserve allocation. This stands castoff in huge scale files dispensation, numerous for solicitations presence logical ones. This paper defines the efficiency of Job scheduling algorithms.

[1]Isikman, Arif Onder, et al. "Power Scheduling in Privacy Enhanced Microgrid Networks with Renewables and Storage" Computer Networks 79 (2016).
[2]Lopes, Raquel, and Daniel Menascé. "A Taxonomy for Job Scheduling on Distributed Computing Systems." Informatik-Spektrum 38.2 (2016).
[3] Donohoe, Michael, Brendan Jennings, and Sasitharan Balasubramaniam. "Context-awareness and the smart grid: Requirements and challenges."Computer Networks 79 (2015): 263-282.
[4] Ma?sker, Markus, et al. "Smart grid-aware scheduling in data centres."Sustainable Internet and ICT for Sustainability (SustainIT), 2015. IEEE, 2015.
[5] Bates, Natalie, et al. "Electrical Grid and Supercomputing Centers: An Investigative Analysis for Emerging Opportunities and Challenges."Informatik-Spektrum 38.2 (2015): 111-127.
[6]Pooranian, Zahra, et al. "An efficient meta-heuristic algorithm for grid computing." Journal for Combinatorial Optimization 30.3 (2015): 413-434.
[7] Prajapati, Harshadkumar B., and Vipul A. Shah. "Scheduling in Grid Computing Environment." Advanced Computing & Communication Technologies (ACCT), 2014 Fourth International Conference on. IEEE, 2014.
[8] Karimi, Maryam. "Hybrid Discrete Particle Swarm Optimization for Task Scheduling in Grid Computing." International Journal for Grid & Distributed Computing 7.4 (2014).
[9] Thakur, Manoj, Suraj S. Meghwani, and Hemant Jalota. "A modified real coded genetic algorithm for constrained optimization." Applied Mathematics and Computation 235 (2014): 292-317.
[10] Alyaseri, Sana, and Alaa Aljanaby. "Population based Heuristic Approaches for Grid Job Scheduling." International Journal for Computer Applications 91 (2014).
[11] Jain, Anamika, and Ravinder Singh. "An innovative approach for Ant Colony optimization for load balancing in peer to peer grid environment." Issues and Challenges in Intelligent Computing Techniques (ICICT), 2014 International Conference on. IEEE, 2014.
[12] Liu, Xuxun, and Desi He. "Ant colony optimization with greedy migration mechanism for node deployment in wireless sensor networks." Journal for Network and Computer Applications 39 (2014): 310-318.
[13] Sánchez, Daniela, and Patricia Melin. "Hierarchical genetic algorithms for type-2 fuzzy system optimization applied to pattern recognition and fuzzy control." Recent Advances on Hybrid Approaches for Designing Intelligent Systems. Springer International Publishing, 2014. 19-35.
[14] Georgiev, Dobromir, Emanouil Atanassov, and Vassil Alexandrov. "A framework for parallel genetic algorithms for distributed memory architectures." Proceedings for the 5th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems. IEEE Press, 2014.
[15] Nithyapriya, D., and N. Krishnamoorthy. "Hybrid adaptive meta-scheduling system for grid computing." Information Communication and Embedded Systems (ICICES), 2013 International Conference on. IEEE, 2013.
[16] Morsy, Hazem, and Hesham El-Rewini. "Adaptive scheduling in a mobile ad-hoc grid for time-sensitive computing." Computer Systems and Applications (AICCSA), 2013 ACS International Conference on. IEEE, 2013.
[17] Esmat, A., et al. "A novel Energy Management System using Ant Colony Optimization for micro-grids." Electric Power and Energy Conversion Systems (EPECS), 2013 3rd International Conference on. IEEE, 2013.
[18] McKnight, Lee W. "Open Specifications for Wireless Grid Technical Requirements." Version 0.1 approved: WiGiT Group). Syracuse, NY: School for Information Studies, Syracuse University (2012).
[19] Sangwan, Surbhi. "Wireless Grid Computing " Grid computing. Vol. 5. (2012)
[20] Darmawan, I., Y. Priyana, and M. I. Joseph. "Grid computing process improvement through computing resource scheduling using genetic algorithm and Tabu Search integration." Telecommunication Systems, Services, and Applications (TSSA), 2012 7th International Conference on. IEEE, 2012.
[21] Taheri, Javid, et al. "Paralleled genetic algorithm for solving the knapsack problem in the cloud." P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC), 2012 Seventh International Conference on. IEEE, 2012.
[22] Chang, Ruay-Shiung, Chih-Yuan Lin, and Chun-Fu Lin. "An adaptive scoring job scheduling algorithm for grid computing." Information Sciences 207 (2012): 79-89.
[23] Shah, Syed Nasir Mehmood, Ahmad Kamil Bin Mahmood, and Alan Oxley. "Dynamic multilevel hybrid scheduling algorithms for grid computing." Procedia Computer Science 4 (2011): 402-411.
[24] Hussin, Masnida, Young Choon Lee, and Albert Y. Zomaya. "Priority-based scheduling for large-scale distribute systems with energy awareness." Dependable, Autonomic and Secure Computing (DASC), 2011 IEEE Ninth International Conference on. IEEE, 2011.
[25]In, Jang Uk, et al. "Policy-based scheduling and resource allocation for multimedia communication on grid computing environment." Systems Journal, IEEE 5.4 (2011): 451-459.
[26] Ramnarine-Rieks, Angela Usha, Lee W. McKnight, and Ruth V. Small. "Collaborative learning through wireless grids." System Sciences (HICSS), 2011 44th Hawaii International Conference on. IEEE, 2011.
[27] Lee, Yun-Han, Seiven Leu, and Ruay-Shiung Chang. "Improving job scheduling algorithms in a grid environment." Future Generation Computer Systems 27.8 (2011): 991-998.
[28] Sharma, Raksha, Vishnu Kant Soni, and Manoj Kumar Mishra. "Notice for Retraction An improved resource scheduling approach using Job Grouping strategy in grid computing." Educational and Network Technology (ICENT), 2010 International Conference on. IEEE, 2010.
[29] Xhafa, Fatos, and Ajith Abraham. "Computational models and heuristic methods for Grid scheduling problems." Future generation computer systems 26.4 (2010): 608-621.
[30] Manvi, S., and M. N. Birje. "A review on wireless grid computing." International Journal for Computer and Electrical Engineering 2.3 (2010): 469-474.
[31] Guo, Yuhua, and Xiaolin Wang. "Application for simulated annealing algorithm to grid computing scheduling based on GridSim." Information Science and Engineering (ICISE), 2010 2nd International Conference on. IEEE, 2010.
[32] Ravula, Anusha, and Byrav Ramamurthy. "A tabu search approach for joint scheduling for resources in a lambda grid network." Global Telecommunications Conference (GLOBECOM 2010), 2010 IEEE. IEEE, 2010.
[33] Kong, Xiaohong, et al. "Dynamic grid scheduling algorithm based on self-adaptive Tabu Search." Computer Design and Applications (ICCDA), 2010 International Conference on. Vol. 2. IEEE, 2010.
[34] Pandey, Suraj, et al. "A particle swarm optimization-based heuristic for scheduling workflow applications in cloud computing environments." Advanced Information Networking and Applications (AINA), 2010 24th IEEE International Conference on. IEEE, 2010.

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