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274
Job Scheduling in Grid Computing
"... 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 ..."
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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
"... 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 ..."
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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
, 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 ..."
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Cited by 73 (5 self)
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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
"... 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 ..."
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Cited by 1 (0 self)
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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
- 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 ..."
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Cited by 88 (18 self)
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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
"... 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 ..."
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Cited by 1 (0 self)
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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
"... 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 ..."
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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
"... 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 ..."
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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
- 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 ..."
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Cited by 35 (4 self)
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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
- 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 ..."
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Cited by 30 (3 self)
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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
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274