A CASE FOR SINGLE SYSTEM IMAGE CLUSTER OPERATING SYSTEMS: THE KERRIGHED APPROACH

2003 ◽  
Vol 13 (02) ◽  
pp. 95-122 ◽  
Author(s):  
GEOFFROY VALLÉE ◽  
RENAUD LOTTIAUX ◽  
LOUIS RILLING ◽  
JEAN-YVES BERTHOU ◽  
IVAN DUTKA MALHEN ◽  
...  
Keyword(s):  
Operating System ◽  
Shared Memory ◽  
Operating Systems ◽  
Experimental Evaluation ◽  
Memory Management ◽  
High Performance ◽  
Parallel Applications ◽  
Single System ◽  
Single System Image ◽  
Kernel Level

In this paper, we present fundamental mechanisms for global process and memory management in an efficient single system image cluster operating system designed to execute workloads composed of high performance sequential and parallel applications. Their implementation in Kerrighed, our proposed distributed operating system, is composed of a set of Linux modules and a patch of less than 200 lines of code to the Linux kernel. Kerrighed is a unique single system image cluster operating system providing the standard Unix interface as well as distributed OS mechanisms such as load balancing on all cluster nodes. Our support for standard Unix interface includes support for multi-threaded applications and a checkpointing facility for both sequential and shared memory parallel applications. We present an experimental evaluation of the Kerrighed system and demonstrate the feasibility of the single system image approach at the kernel level.

Linux Based Mobile Operating Systems

2011 ◽  
pp. 35-50
Author(s):  
Lee Chao
Keyword(s):  
Operating System ◽  
User Interface ◽  
Mobile Learning ◽  
Operating Systems ◽  
Memory Management ◽  
Process Management ◽  
Management Process ◽  
Interface Management ◽  
Device Management ◽  
History Of

In today’s mobile computing, Linux plays a significant role. The Linux kernel has been adopted by a variety of mobile operating systems to handle tasks such as device management, memory management, process management, networking, power management, application interface management, and user interface management. This chapter introduces Linux based mobile operating systems installed on various mobile devices. It first gives a brief introduction of the history of mobile Linux. Then, the chapter introduces the mobile Linux features that can be used to meet the mobile learning requirements. The last part of the chapter presents strategies on selecting a Linux based operating system for a particular mobile learning project.

scholarly journals Address Space Layout Randomization Comparative Analysis on Windows 10 and Ubuntu 18.04 LTS

2021 ◽  
Vol 7 (1) ◽  
pp. 26
Author(s):  
Raquel Vázquez Díaz ◽  
Martiño Rivera-Dourado ◽  
Rubén Pérez-Jove ◽  
Pilar Vila Avendaño ◽  
José M. Vázquez-Naya
Keyword(s):  
Operating System ◽  
Comparative Analysis ◽  
Operating Systems ◽  
Memory Management ◽  
Address Space ◽  
Memory Protection ◽  
Partial Correlations ◽  
Feature Memory ◽  
Space Layout ◽  
Address Space Layout Randomization

Memory management is one of the main tasks of an Operating System, where the data of each process running in the system is kept. In this context, there exist several types of attacks that exploit memory-related vulnerabilities, forcing Operating Systems to feature memory protection techniques that make difficult to exploit them. One of these techniques is ASLR, whose function is to introduce randomness into the virtual address space of a process. The goal of this work was to measure, analyze and compare the behavior of ASLR on the 64-bit versions of Windows 10 and Ubuntu 18.04 LTS. The results have shown that the implementation of ASLR has improved significantly on these two Operating Systems compared to previous versions. However, there are aspects, such as partial correlations or a frequency distribution that is not always uniform, so it can still be improved.

scholarly journals A High-performance Cross-platform Map Rendering Engine for Mobile Geographic Information System (GIS)

2019 ◽  
Vol 8 (10) ◽  
pp. 427
Author(s):  
Li ◽  
Wang ◽  
Guan ◽  
Xie ◽  
Huang ◽  
...  
Keyword(s):  
Operating System ◽  
Operating Systems ◽  
High Performance ◽  
Processing Unit ◽  
Performance Map ◽  
Android System ◽  
Cross Platform ◽  
Rendering Engine ◽  
Better Than ◽  
Graphics Library

With the diversification of terminal equipment and operating systems, higher requirements are placed on the rendering performance of maps. The traditional map rendering engine relies on the corresponding operating system graphics library, and there are problems such as the inability to cross the operating system, low rendering performance, and inconsistent rendering style. With the development of hardware, graphics processing unit (GPU) appears in various platforms. How to use GPU hardware to improve map rendering performance has become a critical challenge. In order to address the above problems, this study proposes a cross-platform and high-performance map rendering (Graphics Library engine, GL engine), which uses mask drawing technology and texture dictionary text rendering technology. It can be used on different hardware platforms and different operating systems based on the OpenGL graphics library. The high-performance map rendering engine maintains a consistent map rendering style on different platforms. The results of the benchmark experiments show that the performance of GL engine is 1.75 times and 1.54 times better than the general map rendering engine in the iOS system and in the Android system, respectively, and the rendering performance for vector tiles is 11.89 times and 9.52 times better than rendering in the Mapbox in the iOS system and in the Android system, respectively.

Enhancing the Efficiency of Memory Management in a Super-Paging Environment by AMSQM

2010 ◽  
pp. 276-293
Author(s):  
Moshe Itshak ◽  
Yair Wiseman
Keyword(s):  
Operating System ◽  
Operating Systems ◽  
Memory Management ◽  
New Technique ◽  
Research Papers ◽  
Page Size ◽  
Replacement Decisions ◽  
Replacement Algorithms

The concept of Super-Paging has been wandering around for more than a decade. Super-Pages are supported by some operating systems. In addition, there are some interesting research papers that show interesting ideas how to intelligently integrate Super-Pages into modern operating systems; however, the page replacement algorithms used by the contemporary operating system even now use the old Clock algorithm which does not prioritize small or large pages based on their size. In this chapter an algorithm for page replacement in a Super-Page environment is presented. The new technique for page replacement decisions is based on the page size and other parameters; hence is appropriate for a Super-Paging environment.

Grids

2011 ◽  
pp. 247-308
Author(s):  
Jana Polgar ◽  
Robert Mark Braum ◽  
Tony Polgar
Keyword(s):  
Operating System ◽  
Cluster Computing ◽  
Single System ◽  
Grid System ◽  
Single System Image ◽  
One Machine ◽  
Multiple Machines

This section describes some of the more important goals of a Grid system. The Grid carries with it many ideas central to other sharing technologies, such as the network operating system (NOS), and cluster computing. A common aim among these technologies is to maintain a single system image. Such a system would run across multiple machines, allowing its users to reasonably think they were using only one machine, when in fact they are accessing resources on any of the connected machines (Biswas, Lazar, Huard, Lim, Mahjoub, Pau, et al., 1998).

Kernel-level single system image for petascale computing

2006 ◽  
Vol 40 (2) ◽  
pp. 50-54 ◽  
Author(s):  
Hong Ong ◽  
Jeffrey Vetter ◽  
R. Scott Studham ◽  
Collin McCurdy ◽  
Bruce Walker ◽  
...  
Keyword(s):  
Single System ◽  
Single System Image ◽  
Petascale Computing ◽  
Kernel Level
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