613 research outputs found
Location Management in IP-based Future LEO Satellite Networks: A Review
Future integrated terrestrial, aerial, and space networks will involve
thousands of Low Earth Orbit (LEO) satellites forming a network of
mega-constellations, which will play a significant role in providing
communication and Internet services everywhere, at any time, and for
everything. Due to its very large scale and highly dynamic nature, future LEO
satellite networks (SatNets) management is a very complicated and crucial
process, especially the mobility management aspect and its two components
location management and handover management. In this article, we present a
comprehensive and critical review of the state-of-the-art research in LEO
SatNets location management. First, we give an overview of the Internet
Engineering Task Force (IETF) mobility management standards (e.g., Mobile IPv6
and Proxy Mobile IPv6) and discuss their location management techniques
limitations in the environment of future LEO SatNets. We highlight future LEO
SatNets mobility characteristics and their challenging features and describe
two unprecedented future location management scenarios. A taxonomy of the
available location management solutions for LEO SatNets is presented, where the
solutions are classified into three approaches. The "Issues to consider"
section draws attention to critical points related to each of the reviewed
approaches that should be considered in future LEO SatNets location management.
To identify the gaps, the current state of LEO SatNets location management is
summarized. Noteworthy future research directions are recommended. This article
is providing a road map for researchers and industry to shape the future of LEO
SatNets location management.Comment: Submitted to the Proceedings of the IEE
An efficient representation of spatial information for expert reasoning in robotic vehicles
The previous generation of robotic vehicles and drones was designed for a specific task, with limited flexibility in executing their mission. This limited flexibility arises because the robotic vehicles do not possess the intelligence and knowledge upon which to make significant tactical decisions. Current development of robotic vehicles is toward increased intelligence and capabilities, adapting to a changing environment and altering mission objectives. The latest techniques in artificial intelligence (AI) are being employed to increase the robotic vehicle's intelligent decision-making capabilities. This document describes the design of the SARA spatial database tool, which is composed of request parser, reasoning, computations, and database modules that collectively manage and derive information useful for robotic vehicles
SAGA: A project to automate the management of software production systems
The SAGA system is a software environment that is designed to support most of the software development activities that occur in a software lifecycle. The system can be configured to support specific software development applications using given programming languages, tools, and methodologies. Meta-tools are provided to ease configuration. The SAGA system consists of a small number of software components that are adapted by the meta-tools into specific tools for use in the software development application. The modules are design so that the meta-tools can construct an environment which is both integrated and flexible. The SAGA project is documented in several papers which are presented
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Methods for Performance Evaluation of Parallel Computer Systems
Although parallel computers have existed for many years, recently there has been a surge of academic, industrial and governmental interest in parallel computing. Commercially manufactured parallel computers have started to become available. Many new experimental parallel architectures are reported in the literature every year. Software for many types of applications, from scientific number crunching to artificial intelligence, is being written to run on parallel machines. Performance is an essential consideration both in the design of new systems and the deployment of existing systems. Users of computers wish to utilize their hardware and software systems as efficiently as possible. Over the years, a field known as computer performance evaluation has arisen to address the problem of quantifying and predicting computer performance. Methods exist that can determine how efficiently a system's resources are being used. These can help track down the probable causes of performance problems
The economics of garbage collection
This paper argues that economic theory can improve our understanding of memory management. We introduce the allocation curve, as an analogue of the demand curve from microeconomics. An allocation curve for a program characterises how the amount of garbage collection activity required during its execution varies in relation to the heap size associated with that program. The standard treatment of microeconomic demand curves (shifts and elasticity) can be applied directly and intuitively to our new allocation curves. As an application of this new theory, we show how allocation elasticity can be used to control the heap growth rate for variable sized heaps in Jikes RVM
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