Data and Job Aware Community Scheduler Framework for Grid Scheduling Problems
نویسندگان
چکیده
منابع مشابه
Framework for Job Scheduling in Grid Environment
Job scheduling is a fundamental issue in achieving a high performance on the Grids. In grid computing several applications require numerous resources for execution which are not often available for them, thus presence of a scheduling system to allocate resources to input jobs is vital. This paper introduces a model and a job scheduling algorithm in grid computing environments. Computational gri...
متن کاملA New Job Scheduling in Data Grid Environment Based on Data and Computational Resource Availability
Data Grid is an infrastructure that controls huge amount of data files, and provides intensive computational resources across geographically distributed collaboration. The heterogeneity and geographic dispersion of grid resources and applications place some complex problems such as job scheduling. Most existing scheduling algorithms in Grids only focus on one kind of Grid jobs which can be data...
متن کاملOnline algorithms for temperature aware job scheduling problems
Temperature is an important consideration when designing microprocessors. When exposed to high temperatures component reliability can be reduced, while some components completely fail over certain temperatures. We consider the design and analysis of online algorithms; in particular algorithms that use knowledge of the amount of heat a job will generate. We consider algorithms with two main obje...
متن کاملGrid Simulation Tools for Job Scheduling and Data File Replication
In recent years, grid computing has emerged as one of the main computational platforms to perform many extremely difficult and/or time-consuming tasks. The amount of data generated every second is in fact sometimes much more than what can be processed even by dedicated grids. This makes the design of optimum solutions to efficiently balance and deploy existing systems one of the main objectives...
متن کاملJob Scheduling and Data Replication in Hierarchical Data Grid
Data Grid environment is a geographically distributed that deal with date-intensive application in scientific and enterprise computing. In data-intensive applications data transfer is a primary cause of job execution delay. Data access time depends on bandwidth, especially when hierarchy of bandwidth appears in network. Effective job scheduling can reduce data transfer time by considering hiera...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Research Journal of Applied Sciences, Engineering and Technology
سال: 2014
ISSN: 2040-7459,2040-7467
DOI: 10.19026/rjaset.8.1237