References
[1]. Abubakar, H. R. & Aftab, U. (2004). Evaluation of load
balancing strategies. In National Conference on
Emerging Technologies (p. 67).
[2]. Ahmad, I. & Ghafoor, A. (1991). Semi-distributed load balancing for massively parallel multicomputer systems.
IEEE Transactions on Software Engineering, 17(10), 987-
1004.
[3]. Ali, M. F. & Khan, R. Z. (2012). The study on load
balancing strategies in distributed computing system.
International Journal of Computer Science and
Engineering Survey, 3(2), 19.
[4]. Bokhari, S. H. (1979). Dual processor scheduling with
dynamic reassignment. IEEE Transactions on Software
Engineering, (4), 341-349.
[5]. Chhabra, A. & Singh, G. (2006, December).
Qualitative Parametric Comparison of Load Balancing
Algorithms in Distributed Computing Environment. In
Advanced Computing and Communications, 2006.
ADCOM 2006. International Conference on (pp. 58-61).
IEEE.
[6]. Chouhan, R. & Rathore, N. K. (2012). Comparision of
th Load Balancing Technique in Grid. 17 Annual
conference of Gwalior Acadmy of mathematical
science and Natonal symposium on computational
mathamatics & Information Technology , JUET, Guna,
M.P., 7-9.
[7]. Jain, N., Rathore, N.K., and Mishra, A. (2017). “An
Efficient Image Forgery Detection Using Biorthogonal
Wavelet Transform and Improved Relevance Vector
Machine With Some Attacks ", Interciencia Journal, 42
(11), 95-120.
[8]. Jain, N., Rathore, N.K., and Mishra, A. (2017). “An
Efficient Image Forgery Detection Using Biorthogonal
Wavelet Transform and Singular Value Decomposition " In
th 5 International conference on Advance Research
Applied Science, Environment, Agriculture &
Entrepreneurship Development (ARASEAED), Bhopal
organized & sponsored by janparishad, JMBVSS &
International Council of people at Bhopal (M.P.) India, pp
274-281.
[9]. Karimi, A., Zarafshan, F., Jantan, A., Ramli, A. R., &
Saripan, M. (2009). A new fuzzy approach for dynamic
load balancing algorithm. arXiv preprint arXiv:0910.0317.
[10]. Kim, C. & Kameda, H. (1990). Optimal static load
balancing of multi-class jobs in a distributed computer system. IEICE Transactions (1976-1990), 73(7), 1207-1214.
[11]. Kun-Ming, V., Chou, Y., & Wang, Y. (2004). A fuzzybased
dynamic load-balancing algorithm. Journal of
Information, Technology and Society, 4(2), 55-63.
[12]. Kwok, Y. K. & Cheung, L. S. (2004). A new fuzzydecision
based load balancing system for distributed
object computing. Journal of Parallel and Distributed
Computing, 64(2), 238-253.
[13]. Li, Y. & Lan, Z. (2005, May). A novel workload
migration scheme for heterogeneous distributed
computing. In Cluster Computing and the Grid, 2005.
CCGrid 2005. IEEE International Symposium on (Vol. 2, pp.
1055-1062). IEEE.
[14]. Moosavi-Nejad, S. R., Mortazavi, S. S., & Vahdat, B. V.
(2011). Fuzzy based Design and tuning of distributed
th systems load balancing controller. In The 5 Symposium
on Advances in Science and Technology (SASTech).
[15]. Mukhopadhyay, R., Ghosh, D., & Mukherjee, N.
(2010, February). A study on the application of existing
load balancing algorithms for large, dynamic,
heterogeneous distributed systems. In Proc. 9th WSEAS Int.
Conf. Software Engineering, Parallel and Distributed
Systems (SEPADS) (pp. 238-243).
[16]. Naaz, S., Alam, A., & Biswas, R. (2011). Effect of
different defuzzification methods in a fuzzy based load
balancing application. IJCSI International Journal of
Computer Science Issues, 8(5).
[17]. Naaz, S., Alam, A., & Biswas, R. (2012). Load
balancing algorithms for peer to peer and client server
distributed environments. International Journal of
Computer Applications, 47(8), 17-21.
[18]. Rahmawan, H. & Gondokaryono, Y. S. (2009,
August). The simulation of static load balancing
algorithms. In Electrical Engineering and Informatics,
2009. ICEEI'09. International Conference on (Vol. 2, pp.
640-645). IEEE.
[19]. Rathore, N.K., and Chohan, R. (2016). “An
Enhancement of Gridsim Architecture with Load
Balancing" in Scholar's Press, Project id: 4900, ISBN: 978-3-
639-76989-0, 23-Oct-2016.
[20]. Rathore, N. An Efficient Load Balancing Algorithm In
Distributed Network. Journal of Computer & Electrical
Enginerring, IOS Press publication-Netherland, (in
revisions).
[21]. Rathore, N. (2015). Efficient agent based priority
scheduling and load balancing using fuzzy logic in grid
computing. i-manager's Journal on Computer Science,
3(3), 11-22.
[22]. Rathore, N. (2015). Ethical Hacking and Security
Against Cyber Crime. i-manager's Journal on Information
Technology, 5(1), 7-11.
[23]. Rathore, N. (2015). GridSim installation and
implementation process. i-manager's Journal on Cloud
Computing, 2(4), 23-34.
[24]. Rathore, N. (2016). A Review towards: Load
balancing Techniques. i-manager's Journal on Power
Systems Engineering, 4(4), 47-60.
[25]. Rathore, N. (2016). Dynamic Threshold Based Load
Balancing Algorithms. Wireless Personal Communications,
91(1), 151-185.
[26]. Rathore, N. (2016). Installation Of Alchemi. Net In
Computational Grid. i-manager's Journal on Computer
Science, 4(2), 1-5.
[27]. Rathore, N. (2017). Performance of Hybrid Load
Balancing Algorithm in Distributed Web Server System.
National Academy Science Letters, ISSN: 0250-541X (print
version), ISSN: 2250-1754 (electronic version), IF=.345.
(Accepted).
[28]. Rathore, N. K. & Chana, I. (2008). Comparative
analysis of checkpointing. PIMR third national IT
conference, IT Enabled Practices and Emerging
Management Paradigms, 321.
[29]. Rathore, N. K. & Chana, I. (2010). Fault Tolerance
Algorithm in Alchemi.NET Middleware. National
Conference on Education & Research (ConFR10), Third
CSI National Conference of CSI Division V, Bhopal
Chapter, IEEE Bombay, and MPCST Bhopal, organized by
JUIT, India.
[30]. Rathore, N. K. & Chana, I. (2010). Checkpointing
algorithm in Alchemi.NET. Pragyaan: Journal of Information Technology, 8(1), 32-38.
[31]. Rathore, N. K. & Chana, I. (2011). A Cognitative
Analysis of Load Balancing Technique with Job Migration
in Grid Environment. World Congress on Information and
Communication Technology (WICT), Mumbai, IEEE
proceedings paper, 77-82.
[32]. Rathore, N. K. & Chana, I. (2016). Job migration
policies for grid environment. Wireless Personal
Communications, 89(1), 241-269.
[33]. Rathore, N. & Chana, I. (2013). Report on hierarchal
load balancing technique in grid environment. imanager's
Journal on Information Technology, 2(4), 21-
35.
[34]. Rathore, N. & Chana, I. (2013, September). A sender
initiate based hierarchical load balancing technique for
grid using variable threshold value. In Signal Processing,
Computing and Control (ISPCC), 2013 IEEE International
Conference on (pp. 1-6). IEEE.
[35]. Rathore, N. & Chana, I. (2014). Job migration with
fault tolerance based QoS scheduling using hash table
functionality in social Grid computing. Journal of
Intelligent & Fuzzy Systems, 27(6), 2821-2833.
[36]. Rathore, N. & Chana, I. (2014). Load balancing and
job migration techniques in grid: a survey of recent trends.
Wireless Personal Communications, 79(3), 2089-2125.
[37]. Rathore, N. & Chana, I. (2015). Variable thresholdbased
hierarchical load balancing technique in Grid.
Engineering with Computers, 31(3), 597-615.
[38]. Rathore, N. K. (2014). Efficient Hierarchical Load
th Balancing Technique based on Grid. In 29 M.P. Young
Scientist Congress, Bhopal, M.P., 55.
[39]. Rathore, N. K. (2015). Efficient Load Balancing
th Algorithm in Grid. In 30 M.P. Young Scientist congress,
Bhopal, M.P., 56.
[40]. Rathore, N.K. (2017). “Checkpointing: Fault
Tolerance Mechanism", i-Manager's Journal on Cloud
Computing, 4(1), 28-35.
[41]. Rathore, N. K. (2015). Map Reduce Architecture for
Grid. Journal on Software Engineering (JSE), 10(1), 21-30.
[42]. Rathore, N. K. (2016). Faults in Grid. International Journal of Software and Computer Science Engineering,
Mantech Publiations, 1(1), 1-19.
[43]. Rathore, N. K. & Chana, I. (2010). Checkpointing
Algorithm in Alchemi.NET. In Lambert Academic
Publication House (LBA), Germany.
[44]. Rathore, N. K. & Chohan, R. (2016). An
Enhancement of Gridsim Architecture with Load
Balancing. In Scholar's Press, Project id: 4900.
[45]. Rathore, N. K. & Sharma, A. (2015). Efficient Dynamic
Distributed Load Balancing Technique. In Lambert
Academic Publication House, Germany.
[46]. Rathore, N. K. & Singh, P. (2016). An Efficient Load
Balancing Algorithm in Distributed Networks. In Lambert
Academic Publication House (LBA), Germany.
[47]. Rathore, N.K., and Singh, H. (2017). “Analysis of Grid
Simulators Architechture", i-Manager's Journal on Mobile
Applications and Technologies, 4(2), 32-41.
[48]. Rathore, N.K., and Singh, P. (2016). “An Efficient Load
Balancing Algorithm in Distributed Networks"in Lambert
Academic Publication House (LBA), Germany, ISBN: 978-
3-659-78892-5, 2016.
[49]. Shah, V. & Patel, K. (2012). Load Balancing algorithm
by Process Migration in Distributed Operating System.
International Journal of Computer Science and
Information Technology & Security (IJCSITS), ISSN, 2249-
9555.
[50]. Sharma, S., Singh, S., & Sharma, M. (2008).
Performance analysis of load balancing algorithms.
World Academy of Science, Engineering and
Technology, 38(3), 269-272.
[51]. Sharma, V., Kumar, R. & Rathore, N. (2015).
Topological Broadcasting Using Parameter Sensitivity-
Based Logical Proximity Graphs in Coordinated Ground-
Flying Ad Hoc Networks. JoWUA, 6(3), 54-72.
[52]. Shivaratri, N. G., Krueger, P., & Singhal, M. (1992).
Load distributing for locally distributed systems.
Computer, 25(12), 33-44.
[53]. Singh, L., Narayan, A., & Kumar, S. (2008, June).
Dynamic fuzzy load balancing on LAM/MPI clusters with
applications in parallel master-slave implementations of an evolutionary neuro-fuzzy learning system. In Fuzzy
Systems, 2008. FUZZ-IEEE 2008. (IEEE World Congress on
Computational Intelligence). IEEE International
Conference on (pp. 1782-1788). IEEE.
[54]. Stone, H. S. (1977). Multiprocessor scheduling with
the aid of network flow algorithms. IEEE transactions on
Software Engineering, (1), 85-93.
[55]. Stone, H. S. (1978). Critical load factors in twoprocessor
distributed systems. IEEE Transactions on
Software Engineering, (3), 254-258.
[56]. Yagoubi, B. & Slimani, Y. (2006). Dynamic load
balancing strategy for grid computing. Transactions on
Engineering, Computing and Technology, 13, 260-265.
