@article{(Open Science Index):https://publications.waset.org/pdf/8996,
	  title     = {Generic Workload Management System Using Condor-Based Pilot Factory in PanDA Framework},
	  author    = {Po-Hsiang Chiu and  Torre Wenaus},
	  country	= {},
	  institution	= {},
	  abstract     = {In the current Grid environment, efficient workload
management presents a significant challenge, for which there are
exorbitant de facto standards encompassing resource discovery,
brokerage, and data transfer, among others. In addition, the real-time
resource status, essential for an optimal resource allocation strategy,
is often not readily accessible. To address these issues and provide a
cleaner abstraction of the Grid with the potential of generalizing into
arbitrary resource-sharing environment, this paper proposes a new
Condor-based pilot mechanism applied in the PanDA architecture,
PanDA-PF WMS, with the goal of providing a more generic yet
efficient resource allocating strategy. In this architecture, the PanDA
server primarily acts as a repository of user jobs, responding to pilot
requests from distributed, remote resources. Scheduling decisions are
subsequently made according to the real-time resource information
reported by pilots. Pilot Factory is a Condor-inspired solution for a
scalable pilot dissemination and effectively functions as a resource
provisioning mechanism through which the user-job server, PanDA,
reaches out to the candidate resources only on demand.},
	    journal   = {International Journal of Industrial and Manufacturing Engineering},
	  volume    = {4},
	  number    = {4},
	  year      = {2010},
	  pages     = {331 - 340},
	  ee        = {https://publications.waset.org/pdf/8996},
	  url   	= {https://publications.waset.org/vol/40},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 40, 2010},