Computer Operating System Research Articles

Design and implementing a software tool to ensure undeadlock state by perfect distribution of resources' instances among competing processes

In computer operating systems books, they explain and solve deadlock problems by declaring in advance the maximum needs of resources and their instances for each process, the total number of resources' instances, and the allocation of the resources' instances for each process. In this paper, we introduce an effective software tool to prove that it is not necessary to declare in advance the allocation of resources' instances for each process since we suggested and implement in the tool some equations to calculate and discover a suitable allocation of resources' instances to be distributed among competing processes in such a way that the computer system will never enter a deadlock state. In fact, the only necessary and sufficient conditions to solve deadlock problems are the total number of resources and their instances besides the maximum needs of resources and their instances for each process. The theory and details are explained with some examples in the contents.

TENEX and TOPS-20

In the late 1960s, a small group of developers at Bolt, Beranek, and Newman (BBN) in Cambridge, Massachusetts, began work on a new computer operating system, including a kernel, system call API, and user command interface (shell). While such an undertaking, particularly with a small group, became rare in subsequent decades, it was not uncommon in the 1960s. During development, this OS was given the name TENEX. A few years later, TENEX was adopted by Digital Equipment Corporation (DEC) for its new line of large machines to be known as the DECSYSTEM-20, and the operating system was renamed to TOPS-20. The author followed TENEX (or vice versa) on this journey, and these are some reflections and observations from that journey. He touches on some of the technical aspects that made TENEX notable in its day and an influence on operating systems that followed as well as on some of the people and other facets involved in the various steps along the way.

Computer Operator Cervical Disease Prevention and Physical Exercise

With the rapid development of computer technology, computer use has been universal coverage and promotion, the promotion of social development and the progress of civilization, but also a direct result of the incidence of cervical disease growing computer operations personnel toward younger age and development trend. In order to effectively prevent the occurrence of cervical disease, a computer operator for the work and life of special investigations carried out pathological studies of patients with cervical disease mechanisms, and found the risk factors which affect computer operations personnel, such as the presence of cervical disease: Continuing operations a long time, incorrect body posture, habits unscientific. Must take effective measures to deal with the timely evacuation exercises to do some exercise, posture alignment operation, pay attention to the computer operating system and placed in the correct position to strengthen targeted physical exercise, can effectively prevent the occurrence of cervical spondylosis, computer operator jobs and improve the quality of life.

A three step blind approach for improving high performance computing systems' energy performance

SUMMARYNowadays, there is no doubt that energy consumption has become a limiting factor in the design and operation of high performance computing (HPC) systems. This is evidenced by the rise of efforts both from the academia and the industry to reduce the energy consumption of those systems. Unlike hardware solutions, software initiatives targeting HPC systems' energy consumption reduction despite their effectiveness are often limited for reasons including (1) the program specific nature of the solution proposed; (2) the need of deep understanding of the application task at hand; and (3) proposed solutions are often difficult to use by novices and/or are designed for single task environments. This paper proposes a three step blind system‐wide, application independent, fine‐grain, and easy to use (user friendly) methodology for improving energy performance of HPC systems. The methodology typically breaks into phase detection, phase characterization, and phase identification and system reconfiguration. And it is blind in the sense that it does not require any knowledge from users. It relies upon reconfigurable capabilities offered by the majority of HPC subsystems—including the processor, storage, memory, and communication subsystems—to reduce the overall energy consumption of the system (excluding network equipments) at runtime. We also present an implementation of our methodology through which we demonstrate its effectiveness via static analyses and experiments using benchmarks representative of HPC workloads. The memory becoming one of the most power hungry HPC system this paper also introduces and investigates the relevance of a potential power saving scheme which we refer to as memory size scaling. It is destined to scale the memory size for saving energy in a CPU frequency scaling like fashion. Copyright © 2014 John Wiley & Sons, Ltd.

Comparison of Cache Page Replacement Techniques to Enhance Cache Memory Performance

Caching is a very important technique for improving the computer system performance, it employed to hide the latency gap between memory and the CPU by exploiting locality in memory accesses. In modern computer architectures a page miss cause the several hundred CPU cycles [1, 15]. In a memory hierarchy, a cache performs faster than auxiliary storage, but is more expensive. Some important page replacement policies such as FIFO, LRU, RANDOM and SECOND CHANCE are used in cache memory to replace the page whenever it is needed. So page replacement policy severely affects the performance of cache memory. So here our purpose is to simulate FIFO, LRU, RANDOM and SECOND CHANCE policies and to compare the results for various applications such as bzip, swim and gcc traces (taken from SPEC2000 benchmark for simulation) etc. using MS-Excel [3, 10, 12] . General terms Computer Architecture, Operating system, cache memory, main memory and Performance evaluation of system

Design and Implementation of General High-Speed Data Storage System

According to the trend of the development of the computer system bus more, designs the general high-speed data storage system based on computer platform structure.Put forward the "one-way chain" cache structure, to avoid the computer operating system of real-time data transmission, the influence of the multithreaded mode data transmission and storage of parallel processing.According to the basic principle of data storage in a computer system, put forward the standard file operations function replace special instruction set, the method of implementing the SCSI disk array storage at a high speed.Test results show that the data storage system based on computer platform with more generalization method to achieve the high speed of data storage.

A Study on the Content Framework of the Computer Operating System in Primary and Middle Schools

A Study on the Content Framework of the Computer Operating System in Primary and Middle Schools

Network Security Management System Based on Digital China

With the popularity of the Internet, web applications have become an essential part of business development. At the same time, network security issues have become increasingly prominent, enterprises feel the convenience brought by the network, while they are also facing a variety of attacks and threats: leaks of confidential, loss of data, network abuse, identity theft, illegal invasion. At present, some enterprises have established the appropriate network security systems, but in actual use, because of the wrong use of various security tools, the phenomenon of system vulnerabilities, illegal software, viruses and malicious code intrusion causes the computer operating system can not reach the required level of standard safety levels.

Impact of Brooks-Iyengar DistributedSensing Algorithm on Real Time Systems

In this paper we evaluate the merit of Brooks-Iyengar distributed sensing algorithm and highlight its impact on cost-effective processing of real-time sensor data stream. We discover that it has a long-lasting impact, not only on sensor networks, but also on computer operating systems. We believe that as we learn more about the usefulness of this algorithm, it will become an essential component of system that use sensors in some form.

Let Me Introduce You to Your First Virtual Patient

After working with the virtual patient, RNs reported increased confidence in assessment, history taking, and documentation skills. IN THE RECENT film Her, Joaquin Phoenix's character develops a relationship with a computer operating system named Samantha. Similarly, students now have the ability to develop a relationship with a virtual patient (VP). Gone are the days of nursing students honing their skills solely on live patients or mannequins in a simulation lab. Today, there is software available for students to interact with a VP online, in a simulated clinical environment (Figure 1). Interestingly, VPs have been around for over 35 years; however, the technology has not been widely utilized, and there is a lack of research confirming learning outcomes (Cook & Triola, 2009). Nonetheless, VP technology has advanced considerably in recent years, is comparable to advanced video gaming systems, and interactivity of artificial intelligence. Today, students can interact with a VP online with text or with their voice, choose how to proceed in a virtual clinical environment, and receive immediate feedback on their performance. Undoubtedly, the impact of online education and the use of Web-based technologies have profoundly affected education and learning. In the in fall of 2012 there were 7,100,000 students taking at least one online course (Allen & Seaman, 2014). Nurses are also choosing online learning to advance their education with the intent to advance their expertise; however, questions remain as to whether nursing practice can be learned in an online environment. Of course, not all advanced practice skills can be learned online, and interaction with live patients is necessary; however, given the shortage of clinical sites, and gaps in clinical experiences

클라우드 환경에서 MongoDB 기반의 비정형 로그 처리 시스템 설계 및 구현

Log data, which record the multitude of information created when operating computer systems, are utilized in many processes, from carrying out computer system inspection and process optimization to providing customized user optimization. In this paper, we propose a MongoDB-based unstructured log processing system in a cloud environment for processing the massive amount of log data of banks. Most of the log data generated during banking operations come from handling a client's business. Therefore, in order to gather, store, categorize, and analyze the log data generated while processing the client's business, a separate log data processing system needs to be established. However, the realization of flexible storage expansion functions for processing a massive amount of unstructured log data and executing a considerable number of functions to categorize and analyze the stored unstructured log data is difficult in existing computer environments. Thus, in this study, we use cloud computing technology to realize a cloud-based log data processing system for processing unstructured log data that are difficult to process using the existing computing infrastructure's analysis tools and management system. The proposed system uses the IaaS (Infrastructure as a Service) cloud environment to provide a flexible expansion of computing resources and includes the ability to flexibly expand resources such as storage space and memory under conditions such as extended storage or rapid increase in log data. Moreover, to overcome the processing limits of the existing analysis tool when a real-time analysis of the aggregated unstructured log data is required, the proposed system includes a Hadoop-based analysis module for quick and reliable parallel-distributed processing of the massive amount of log data. Furthermore, because the HDFS (Hadoop Distributed File System) stores data by generating copies of the block units of the aggregated log data, the proposed system offers automatic restore functions for the system to continually operate after it recovers from a malfunction. Finally, by establishing a distributed database using the NoSQL-based Mongo DB, the proposed system provides methods of effectively processing unstructured log data. Relational databases such as the MySQL databases have complex schemas that are inappropriate for processing unstructured log data. Further, strict schemas like those of relational databases cannot expand nodes in the case wherein the stored data are distributed to various nodes when the amount of data rapidly increases. NoSQL does not provide the complex computations that relational databases may provide but can easily expand the database through node dispersion when the amount of data increases rapidly; it is a non-relational database with an appropriate structure for processing unstructured data. The data models of the NoSQL are usually classified as Key-Value, column-oriented, and document-oriented types. Of these, the representative document-oriented data model, MongoDB, which has a free schema structure, is used in the proposed system. MongoDB is introduced to the proposed system because it makes it easy to process unstructured log data through a flexible schema structure, facilitates flexible node expansion when the amount of data is rapidly increasing, and provides an Auto-Sharding function that automatically expands storage. The proposed system is composed of a log collector module, a log graph generator module, a MongoDB module, a Hadoop-based analysis module, and a MySQL module. When the log data generated over the entire client business process of each bank are sent to the cloud server, the log collector module collects and classifies data according to the type of log data and distributes it to the MongoDB module and the MySQL module. The log graph generator module generates the results of the log analysis of the MongoDB module, Hadoop-based analysis module, and the MySQL module per analysis time and type of the aggregated log data, and provides them to the user through a web interface. Log data that require a real-time log data analysis are stored in the MySQL module and provided real-time by the log graph generator module. The aggregated log data per unit time are stored in the MongoDB module and plotted in a graph according to the user's various analysis conditions. The aggregated log data in the MongoDB module are parallel-distributed and processed by the Hadoop-based analysis module. A comparative evaluation is carried out against a log data processing system that uses only MySQL for inserting log data and estimating query performance; this evaluation proves the proposed system's superiority. Moreover, an optimal chunk size is confirmed through the log data insert performance evaluation of MongoDB for various chunk sizes.

SeqReporter: Automating Next-Generation Sequencing Result Interpretation and Reporting Workflow in a Clinical Laboratory

A wide repertoire of bioinformatics applications exist for next-generation sequencing data analysis; however, certain requirements of the clinical molecular laboratory limit their use: i) comprehensive report generation, ii) compatibility with existing laboratory information systems and computer operating system, iii) knowledgebase development, iv) quality management, and v) data security. SeqReporter is a web-based application developed using ASP.NET framework version 4.0. The client-side was designed using HTML5, CSS3, and Javascript. The server-side processing (VB.NET) relied on interaction with a customized SQL server 2008 R2 database. Overall, 104 cases (1062 variant calls) were analyzed by SeqReporter. Each variant call was classified into one of five report levels: i) known clinical significance, ii) uncertain clinical significance, iii) pending pathologists' review, iv) synonymous and deep intronic, and v) platform and panel-specific sequence errors. SeqReporter correctly annotated and classified 99.9% (859 of 860) of sequence variants, including 68.7% synonymous single-nucleotide variants, 28.3% nonsynonymous single-nucleotide variants, 1.7% insertions, and 1.3% deletions. One variant of potential clinical significance was re-classified after pathologist review. Laboratory information system-compatible clinical reports were generated automatically. SeqReporter also facilitated quality management activities. SeqReporter is an example of a customized and well-designed informatics solution to optimize and automate the downstream analysis of clinical next-generation sequencing data. We propose it as a model that may envisage the development of a comprehensive clinical informatics solution.

Perceived needs and emotional responses to brands: A dual-process view

Much of the early literature on branding takes a primarily cognitive approach to brand management. Recently though, emotional research has been incorporated into branding studies. Fusing these two streams of thought, contemporary inquiry suggests that effective branding results from the creation of both a cognitive and an emotive bond (that is, a dual-process approach) between the brand and the consumer. As such, we investigate, across three studies, the relationship between cognitively driven perceived needs and affective responses on brand attitude and purchase intentions. Specifically, for Study 1, we explore the effects of need for achievement and positive affect on iPhone brand attitude and purchase intent. Study 2 tests a similar model in a computer operating system context. Study 3 extends this model by incorporating need for cognition as an antecedent of brand attitude and purchase intent for Android-based phones. The data support the posited models, while revealing that for both Studies 2 and 3, brand attitude serves as a mediator between need for achievement and purchase intent. Implications for brand management and directions for future research are offered.

Implementation of Multilevel Feedback Queue Algorithm in Restaurant Order Food Application Development for Android and iOS Platforms

Rapid business development encourages every entrepreneur to create a different service to attract customers. Fast service is its own attraction for customers. Implementation of queuing or scheduling system on chefs can be used to avoid a high stack of ordering food in the chefs, so that serving times can be done quickly. Multilevel Feedback Queue scheduling algorithm is one of the CPU scheduling in the computer operating system. Multilevel feedback queue algorithms allow the process to move the queue. If a process is too time consuming, then the process will be moved to a lower queue. Therefore the interaction process becomes fewer and it reduces CPU time. On this research, we developed a food ordering web application on Android and iOS by applying multilevel feedback queue to create a queue ordering food at the chefs. The time obtained from multilevel feedback queue methods faster 30 minutes 48 seconds from the first come first serve method.

The Design of Item Bank System of Computer Operating System

According to the requirements of modern education theory and technology, combined with the actual teaching conditions of Computer Operating System, an item bank system is designed and realized by adopting the VB 6.0 and SQL Server 2000. The system benefits for separating testing from teaching and settles the problem of randomness and unrepeatability caused by manual paper generation. In this paper, some key techniques, such as system function design, the database table design, making-up strategy, Word-paper making etc. are introduced, which have very strong universal property and operability.

Study on the Network Control of Construction Machinery Control and Computer Operating System

The application of hydraulic drive as well as control technology to construction machinery control as well as operating system has been very common. In this paper, network control system is briefly introduced first, and then the computer controls of vehicle and construction machinery hydraulic system are discussed respectively from the new methods for the motion control and integration of drive and operating system, and the operating and control system design of beam lifting machine DJY200.

Social Media for Professional Purposes: Introduction to the JACR “How to” Video Guide

THE VOICE OF EXPERIENCE Social Media for Professional Purposes: Introduction to the JACR “How to” Video Guide David M. Naeger, MD, Emily M. Webb, MD Social media pervade today’s world. Facebook has more than 600 million daily users [1]. LinkedIn, a profes- sional networking site, houses almost 200 million professional profiles [2]. Twitter, the popular microblogging website, logs almost 340 million daily tweets (short online posts) [3]. In ad- dition to teenagers, corporations, politicians, social organizations, and entertainers have turned to these tools for communication. Medicine, including radiology, has been slower to embrace these media to communicate with others, in- cluding our patients. We briefly review the key features of social media sites, how one can use these sites, the potential benefits and drawbacks as well as resources for those who want to learn more. WHAT ARE SOCIAL MEDIA? Unlike more traditional websites, on social media sites (including Fa- cebook, Twitter, and LinkedIn), content is created by the users themselves. The more users there are and the more connections formed, the more successful the so- cial media experience. In addition to a large user base, the key features that tend to be part of a successful social media site are the following: 1. The ability to connect with peo- ple: Facebook and similar sites allow users to connect with fam- ily, friends, coworkers, class- mates, and so on. “Friends” (as connections are typically called) can be categorized and users can control the information shared with different categories of friends. 2. A communication hub: Social media sites often embed com- munication tools into their sites, including messaging functions, chat programs, and sometimes teleconferencing or video chat- ting programs. Although these sites are unlikely to replace ded- icated e-mail or video chat web- sites and programs, these tools offer convenience to users of so- cial media sites. Profiles: At the core of most so- cial media sites are individual profiles. Name, contact infor- mation, hometown, current lo- cation, schooling, past and present employers, and so on, can all be entered and shared. Well-designed sites use this infor- mation to help predict other users you may know, automatically orga- nize your contacts into lists, and fa- cilitate communication. Connecting with and expressing interest in activities and organi- zations: Users of social media sites can indicate their interests, personal and professional, to connect with other users who share these interests. “Newsfeed”-type announce- ments: The most common user interaction with most social me- dia sites is reading “newsfeeds” (aka “feeds”). These constantly updated streams of information are generated by one’s contacts. For example, a newsfeed can con- tain short text updates, photos, and current online activities of friends in one’s social media net- work (eg, “checking in” at a res- taurant or reading a news article). Photo and video sharing: Social media sites allow users to share photos and videos uploaded di- rectly from mobile devices and computers, which can be ar- chived into albums. 7. Applications: Similar to “apps” on a computer or smart phone operating system, these add-ons can offer other functions or fea- tures not originally programmed into the site. HOW ARE SOCIAL MEDIA SITES CURRENTLY BEING USED BY RADIOLOGISTS? Individual radiologists can post personal or professional profiles of themselves on a variety of web- sites. For example, LinkedIn has an online profile template that mirrors a curriculum vitae or re- sume, allowing professionals to post information about them- selves and connect with other professionals. Some radiology or- ganizations also have social me- dia–style profiles and interaction between users, for example, the ACR’s Radiology Leadership In- stitute [4]. More commonly, in- dividual radiologists use social media to remain up to date about their profession. Radiologic societies, particularly larger societies, have created so- cial media–style experiences on their websites, although they tend to have smaller user bases and more limited features than the most popular social media sites. More commonly, societies have a chosen to have a presence on existing social media sites such as Facebook and LinkedIn. In a recent ACR Intersociety Committee survey, 21 of 40 re- sponding organizations indi- © 2013 American College of Radiology http://dx.doi.org/10.1016/j.jacr.2013.06.015

Large Scale Linear Programming in the Windows and Linux computer operating systems

In this study, calculations necessary to solve the large scale linear progra mming problems in two operating systems, Linux and Windows 7 (Win), are compared using two different methods. Relying on the interior-point methods, linear-programming interior point solvers (LIPSOL) software was used for the first method and re lying on an augmented Lagrangian method-based algorithm, the second method used the generalized derivative. The performed calculations for various problems show the produced random in the Linux operating system (OS) and Win OS indicate the efficiency of the perfo rmed calculations in the Linux OS in terms of the accuracy and using of the optimum memory.

Research on the Training Mechanism of Embedded Software Development Talents

How to train embedded software development talents that can meet the demands of embedded system companies is a very important task to the computer majors of colleges and universities. Some efficacious measures are given in this paper. These measures include infiltrating embedded software developing ideas and knowledge to existed related computer major courses such as computer operation system, data structure and the principles of computer composition, offering specialized embedded software developing course, studying and researching open source embedded operating system software, and introducing students to participate in embedded software developing course design and application project. Our practical teaching results proved they are very helpful to improve students’ embedded software design ability.

The Effect of Networking Revolution on Digital Music

The way people consume music in our days has totally changed as a result of the current developments in hardware and software, as well as the evolution of the Internet. People do not buy CDs or records anymore. Nowadays, people store music data on their disks and listen to music via portable devices (i-pods, mobile phones etc.). However, the advent of Web 2.0 foretokens colossal changes in the fields of music production, distribution and management. Cloud computing, social networks and web-based operating systems are some of the recent trends that affect these fields and introduce a new era beyond MP3.