Automatic Data Distribution for Composite Grid Applications
نویسندگان
چکیده
منابع مشابه
Data Distribution Strategies for Domain Decomposition Applications in Grid Environments
In this paper, we evaluate message-passing applications in Grid environments using domain decomposition technique. We compare two domain decomposition strategies: a balanced and unbalanced one. The balanced strategy is commonly strategy used in homogenous computing environment. This strategy presents some problems related with the larger communication latency in Grid environments. We propose an...
متن کاملAutomatic Data Distribution in Large-scale OLTP Applications
With the dramatic increase of data volume, automatic data distribution has been one of the key techniques and intractable problem for distributed systems. This work summarizes the problem of data distribution and abstracts it as a general triangle model called DaWN. Based on data and workload analysis, it presents a novel strategy called ADDS for automatic data distribution in OLTP applications...
متن کاملmodeling loss data by phase-type distribution
بیمه گران همیشه بابت خسارات بیمه نامه های تحت پوشش خود نگران بوده و روش هایی را جستجو می کنند که بتوانند داده های خسارات گذشته را با هدف اتخاذ یک تصمیم بهینه مدل بندی نمایند. در این پژوهش توزیع های فیزتایپ در مدل بندی داده های خسارات معرفی شده که شامل استنباط آماری مربوطه و استفاده از الگوریتم em در برآورد پارامترهای توزیع است. در پایان امکان استفاده از این توزیع در مدل بندی داده های گروه بندی ...
MAPFS-Grid: A Flexible Architecture for Data-Intensive Grid Applications
Grid computing constitutes one of the most important computing paradigms appeared in the last decade. Data grids are grid system, whosemain concern is the efficient and reliablemanagement of data. These systems have had a growing interest due to the increasing number of applications using a huge amount of data, known as data-intensive applications. They present problems related to both grid sys...
متن کاملGrid resource management for data mining applications
Emerging data mining applications in science, engineering and other sectors increasingly exploit large and distributed data sources as well as computationally intensive algorithms. Adapting such applications to grid computing environments has implications for grid resource brokering. A grid resource broker supporting such applications needs to provide effective and efficient job scheduling, exe...
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: Scientific Programming
سال: 1997
ISSN: 1058-9244,1875-919X
DOI: 10.1155/1997/174748