The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The main objective of the paper is to propose new disk scheduling to enhance disk performance. Disk performance management is an escalating important facet of operating system research and development. As new types of storage devices are developed, it is necessary to revisit the issue of scheduling to reduce access latency to data on the devices. This work shows the study of various existing disk...
We propose a time-efficient local data aggregation algorithm that aggregates delay-constrained data within a given time deadline in clustered wireless sensor networks. Our approach consists of two phases. First, we design a zone-based fast data aggregation tree (ZFDAT) to eliminate unnecessary packets being forwarded to many receiver nodes and avoid long detour paths until cluster-head, where cluster-head...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.