International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 03 Issue: 06 | June-2016 www.irjet.net p-ISSN: 2395-0072 © 2016, IRJET | Impact Factor value: 4.45 | ISO 9001:2008 Certified Journal | Page 1932 DYNAMIC RESOURCE MANGEMENT USING ADAPTIVE WORKFLOW SCHEDULING AND NETWORK SECURITY VIRTUALIZATION TECHNOLOGY (NSVT) IN GRID COMPUTING C.Daniel Nesakumar1, G.Suganya 2 , P.Jayasree 3 1Asst Prof , Dept. of Computer Application , danielnesakumar@gmail.com 2 Asst Prof , Dept. of Computer Application , suganyaag@gmail.com, 3 Asst Prof, Dept. of Computer Application ,kandasamysree@gmail.com, Hindusthan College of Arts and Science, Coimbatore. . ABSTRACT: Grid computing permits huge amount of resource sharing and collaboration designed for solving complex science and engineering problems under many applications. Major core part of the grid computing is the allocation of resource to users depending on their application tasks to the resources. Allocation of resource to users is done under two ways: static and dynamic scheduling. dynamic scheduling and multi-institutional environment have many challenging problem under security In this work present a new concept of network security virtualization schema for grid computing security which virtualizes security of users and their resources, and consequently maximally make use of security devices. In addition, it permits security protection in the direction of popular networks by means of smallest management cost. In the direction of confirm this concept, additional propose and execute a prototype system, Network Security Virtualization Technology (NSVT) which be able to make use of presented pre-installed security devices and influence software-defined networking technology in the direction of virtualizes network security functions. NSTV contains: 1) a easy script language in the direction of register security services and policies; 2) a position of Scheduling algorithms in the direction of decide schedule workflow tasks in dynamic way designed for varied security policies depending on their various needs; Proposed a new Adaptive Workflow Scheduling (AWS) in the direction of schedule workflow tasks in the direction of the dynamic grid resources depending on their rescheduling method. The AWS algorithm is varied from existing techniques in literature by consideration of changes of both hosts and links availability during load balancing task. The simulation results with randomly generated task graphs conclude that the NSVT with AWS algorithm is capable in the direction of deal by means of fluctuations of resource accessibility and provides generally best performance. Index terms: Grid computing, DAG grid workflow, Adaptive workflow scheduling, Re-scheduling, Resource monitoring, Network Security Virtualization Technology (NSVT), Security. 1.INTRODUCTION In recent times, the speedy growth of networking knowledge and web have lead in the direction of the potential of via the use of huge amount of geographically circulated heterogeneous resources own by means of diverse organizations. These developments contain lead in the direction of the establishment of latest model known as Grid Computing [1-2The workflow scheduling in grid is one of the major issues, which handles by means of assigning workflow tasks in the direction of the obtainable grid resources at the same time as maintaining the task dependency restriction and in the direction of gather the Quality of Service (QoS) demands of the user that is minimizing the overall execution time and extend the performance. In order toward make sure high performance in dynamic and changeable grid environment, let us prefer an adaptive scheduling [8] schemes where scheduling policy of this environment is dynamically changed based on the requirements of users and their resources accessibility. At this time, initial scheduling of each and every one the tasks is carry out statically and then rescheduling is also carryout for unexecuted tasks. The capabilities in the direction of determine and observe the category of resources on run time is essential designed for the adaptive operation of the grid. In this work proposed a new Adaptive Workflow Scheduling (AWS) in the direction