Cost Efficient Query Optimization in Mobile Environment
نویسندگان
چکیده
منابع مشابه
Cost Efficient Query Optimization in Mobile Environment
Today, we live in the world of internet. With the advancement of technology, the amount of data access has increased too many folds. Internet access now is not only limited to computer devices but can now be easily accessed through mobile devices viz. Smartphones, tablets, PDA’s. The internet is now available to every common man, and with its use he fires many queries on servers and uploads or ...
متن کاملqfd planning with cost consideration in fuzzy environment
در عصر حاضر که رقابت بین سازمان ها بسیار گسترش یافته است، مطالعه و طرحریزی سیستم های تولیدی و خدماتی به منظور بهینه سازی عملکرد آنها اجتناب ناپذیر می باشد. بخش عمده ای از رقابت پذیری سازمان ها نتیجه رضایتمندی مشتریان آنها است. میزان موفقیت سازمان های امروزی به تلاش آنها در جهت شناسایی خواسته ها و نیازهای مشتریان و ارضای این نیازها بستگی دارد. از طرفی کوتاه کردن زمان ارائه محصول/خدمات به مشتریان...
15 صفحه اولQuery Optimization in Mobile Environments
We consider the issue of optimizing queries for a distributed processing in mobile environment. An interesting characteristic of mobile machines is that they depend on battery as a source of energy which may not be substantial enough. Hence, the appropriate optimization criterion in a mobile environment considers both resource utilization and energy consumption at the mobile client. In this sce...
متن کاملCost-Based Object Query Optimization
The long-term goal of our research is to develop a top-down transformation-based and cost-based optimizer for object queries. Relational optimization techniques have been widely and successfully adopted. Thus, the primary task of object query optimization is to adapt relational techniques, and meanwhile to invent new techniques, to address the new features in object query languages such as meth...
متن کاملMultiresolution Query Optimization in an Online Environment
Multiresolution (or multi-scale) techniques make it possible for Web-based GIS applications to access large dataset. The performance of such systems relies on data transmission over network and multiresolution query processing. In the literature the latter has received little research attention so far, and the existing methods are not capable of processing large dataset. In this paper, we aim t...
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: International Journal of Computer Applications
سال: 2015
ISSN: 0975-8887
DOI: 10.5120/21394-4443