Conference Papers
Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506
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Item Determination of task scheduling mechanism using computational intelligence in Cloud Computing(Institute of Electrical and Electronics Engineers Inc., 2016) George, N.; Chandrasekaran, K.; Binu, A.Cloud Computing delivers computational services through the internet. The services availed can vary according to the user requirements. The services are basically provided using virtualization technique. One of the services that are provided is the computational services for the client tasks. The client provides the Service Provider with various sized tasks that need to be executed. The execution of tasks is done using the resources present within the Provider of the services. The service provider checks for available resources, and allocates the jobs to these resources in such a manner as to minimize execution time, and various other factors that affect the performance of the Cloud. The process of allocating resources to the tasks is known as scheduling, and various scheduling mechanisms are present. A single scheduling strategy may not be always optimal in performing scheduling. In this paper, an improved mechanism for choosing the scheduling strategy is explained, which aims at addressing the problems associated with choosing the right scheduling mechanism according to the previously exhibited performances. Experimental results demonstrate the importance of using such a mechanism in selecting the right scheduling strategy. © 2015 IEEE.Item An objective study on improvement of task scheduling mechanism using computational intelligence in cloud computing(Institute of Electrical and Electronics Engineers Inc., 2016) George, N.; Chandrasekaran, K.; Binu, A.Cloud Computing facilitates delivery of various types of computational services through the internet. These services can be availed according to the user demand. The resource scarcity problems within the Service Providers are met using Virtualization technique, which allows scalability of resources and thereby helps to meet the client requirements. Allocation of resources to client tasks is an issue that is being addressed for a long time. Due to the increased complexity in the area, there has not yet been a perfect scheduling mechanism. Practices have been done profusely in order to find solutions for scheduling that nears optimality. A single scheduling mechanism may not always give the expected outcome. The task scheduling mechanisms are designed in a manner as to optimize some metrics related to the Cloud. This paper overviews various literature associated with task scheduling and resource scheduling in Cloud Computing. An examination of the techniques is done and a proposal is made, which will allow to further improve the scheduling mechanism. © 2015 IEEE.Item Optimization-Aware scheduling in cloud computing(Association for Computing Machinery acmhelp@acm.org, 2016) Binu, A.; George, N.; Chandrasekaran, K.Cloud computing allows delivery of computational resources via internet. Some of the computational resources include signals, codes and physical resources. Cloud users require computational resources for execution of their tasks. The computational elements, when thoroughly assigned to the cloud users according to requirement facilitate an efficient scheduling mechanism. The efficiency is dependent on the parameters chosen to promote the assignment of task to resources. Here, computational cost is chosen as the optimization factor, and the solution with the least cost is selected as the best assignment. A Cuckoo Search inspired technique is used, and task assignment to resources is done by validating the solution with the least value of cost. © 2016 ACM.Item Vibro-acoustic behaviour of functionally graded graphene reinforced polymer nanocomposites(American Institute of Physics Inc. subs@aip.org, 2020) Pious, D.; Jacob, J.; George, N.; Bhagat, V.; Chacko, T.; Jeyaraj, P.This study conducts an investigation into the vibro-acoustic behavior of polymer nano composites reinforced with functionally graded graphene. The numerical analysis is conducted using both finite element method and Rayleigh integral. Free and forced vibration characteristics are conducted to understand the sound characteristics in depth. The influence of various parameters such as type of functional grading, loading and boundary conditions are also observed. Results shows that natural frequency of a structure is heavily dependent on the type of functional grading of the structure, while the mode shapes are observed to be impervious to these changes. The type of functional grading is also seen to influence the resonant amplitude of vibration and acoustic response. This influence is duly produced in the bandwise calculation of sound power which suggests that FG-X distribution of graphene is to be used for lower frequency levels. © 2020 Author(s).