Results 1 - 10 of 274

Job Scheduling in Grid Computing

by Khushboo Yadav, Deepika Jindal, Ramandeep Singh
"... Job scheduling is used to schedule the user jobs to appropriate resources in grid environment. The goal of scheduling is that it achieves highest possible system throughput and match the application need with the available computing resources. In this paper, we will review the definition of grid com ..."
Abstract - Add to MetaCart
Job scheduling is used to schedule the user jobs to appropriate resources in grid environment. The goal of scheduling is that it achieves highest possible system throughput and match the application need with the available computing resources. In this paper, we will review the definition of grid

Job Scheduling for Computational Grids

by Carsten Franke, Uwe Schwiegelshohn, Ramin Yahyapour
"... Abstract. Grid computing is a method to execute computational jobs requiring a significant amount of computing resources and/or large sets of data. Contrary to large heterogeneous distributed systems, a Computational Grid has many independent resource providers with different access policies. In add ..."
Abstract - Add to MetaCart
Abstract. Grid computing is a method to execute computational jobs requiring a significant amount of computing resources and/or large sets of data. Contrary to large heterogeneous distributed systems, a Computational Grid has many independent resource providers with different access policies

Distributed Job Scheduling on Computational Grids Using Multiple Simultaneous Requests

by Vijay Subramani, Rajkumar Kettimuthu, Srividya Srinivasan, P. Sadayappan , 2002
"... Even though middleware support for grid computing has been the subject of extensive research, scheduling policies for the grid context have not been much studied. In addition to processor utilization, it is important to consider the response times of jobs in evaluating the performance of grid schedu ..."
Abstract - Cited by 73 (5 self) - Add to MetaCart
Even though middleware support for grid computing has been the subject of extensive research, scheduling policies for the grid context have not been much studied. In addition to processor utilization, it is important to consider the response times of jobs in evaluating the performance of grid

IDENTIFYING JOB MIGRATION CHARACTERISTICS IN DECENTRALIZED GRID SCHEDULING SCENARIOS

by Christian Grimme, Joachim Lepping, Alexander Papaspyrou
"... This paper explores the characteristics of job migration between different parallel compute sites in a decentralized Grid scenario sharing a central job pool. Independent users are assumed to submit their jobs to their local site MPP installation, which in turn is allowed to decline the local execut ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
This paper explores the characteristics of job migration between different parallel compute sites in a decentralized Grid scenario sharing a central job pool. Independent users are assumed to submit their jobs to their local site MPP installation, which in turn is allowed to decline the local

Nature's Heuristics for Scheduling Jobs on Computational Grids

by Ajith Abraham, Rajkumar Buyya, Baikunth Nath - IEEE INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING AND COMMUNICATIONS , 2000
"... Computational Grid (Grid Computing) is a new paradigm that will drive the computing arena in the new millennium Unification of globally remote and diverse resources, coupled with the increasing computational needs for Grand Challenge Applications (GCA) and accelerated growth of the Internet and comm ..."
Abstract - Cited by 88 (18 self) - Add to MetaCart
and communication technology will further fuel the development of global computational power grids. In this paper, we attempt to address the scheduling of jobs to the geographically distributed computing resources. Conventional wisdom in the field of scheduling is that scheduling problems exhibit such richness

An Algorithm to Optimize the Traditional Backfill Algorithm Using Priority of Jobs for Task Scheduling Problems in Cloud Computing

by Lal Shrivratt Singh, Jawed Ahmed, Asif Khan
"... Abstract — The concept of cloud computing came out after a great development over the distributed computing, grid computing, cluster computing and the parallel computing. It is a research field of one of the newest computing technologies. Now a days the IT market is adopting the cloud based technolo ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
performance of the cloud system may be achieved. This paper proposes an efficient algorithm ‘P-Backfill’ (say) which is based on the traditional Backfill algorithm using prioritization of jobs for achieving the optimality of scheduling in cloud systems. In this paper the comparisons between the P-Backfill

Task Scheduling Algorithms for Grid Computing with Static Jobs: A Review

by Marish Kr. Singla
"... Abstract: Scheduling in traditional distributed systems has been mainly studied for system performance parameters without data transmission requirements. In task scheduling system for grid computing, most of algorithms such as priority based FCFS, reservation, backfilling etc. are commonly used for ..."
Abstract - Add to MetaCart
Abstract: Scheduling in traditional distributed systems has been mainly studied for system performance parameters without data transmission requirements. In task scheduling system for grid computing, most of algorithms such as priority based FCFS, reservation, backfilling etc. are commonly used

Comparative Analysis of Job Scheduling for Grid Environment

by Neeraj Pandey, Ashish Arya, Nitin Kumar Agrawal
"... Grid computing is a continuous growing technology that alleviates the executions of large-scale resource intensive applications on geographically distributed computing resources. For a computational grid environment, there are number of scheduling policies available to address the scheduling and loa ..."
Abstract - Add to MetaCart
and load balancing problem. Scheduling techniques applied in grid systems are primarily based on the concept of queuing systems, and deals with the allocation of job to computing node. The scheduler, that schedules the incoming job can be based on global vs. local i.e. what information will be used to make

Multiple-Queue Backfilling Scheduling with Priorities and Reservations for Parallel Systems

by Barry G. Lawson, Evgenia Smirni - In Job Scheduling Strategies for Parallel Processing , 2002
"... Abstract. We describe a new, non-FCFS policy to schedule parallel jobs on systems that may be part of a computational grid. Our algorithm continuously monitors the system (i.e., the intensity of incoming jobs and variability of their resource demands), and adapts its scheduling parameters according ..."
Abstract - Cited by 35 (4 self) - Add to MetaCart
execution time. Our policy supports different job priorities and job reservations, making it appropriate for scheduling jobs on parallel systems that are part of a computational grid. Detailed performance comparisons via simulation using traces from the Parallel Workload Archive indicate that the proposed

Benefits of global grid computing for job scheduling

by Carsten Ernemann, Volker Hamscher, Ramin Yahyapour - In Proceedings of the 5th IEEE/ACM International Workshop on Grid Computing , 2004
"... Abstract — In addition to other advantages, computational Grids are considered to utilize the participating compute resources more efficiently as well as to improve the response time for user jobs. Due to the lack of common large scale global Grids and corresponding studies on Grid workloads this as ..."
Abstract - Cited by 30 (3 self) - Add to MetaCart
this assumption is not yet verified. In this paper, the effect of geographical distribution of Grid resources on the machine utilization and the average response time is analyzed. To this end, simulations have been performed. The results show a significant benefit for the job scheduling quality due
Results 1 - 10 of 274