Academic literature on the topic 'Server computing.Samba (Computer file)'

In the computer laboratory of Mathematics Department previously installed in the network of Novell Netware 5 operating system. But file sharing problem is when client upgrades the operating system. The server can not be accessed from the client. So finally the data management was decided not to go through the server. Another constraint is not being able to update regularly, so it certainly will be vulnerable to viruses. Within 1 month required to re-install twice because of virus attacks, malware, and others. The idea is to build a network which is server-based integrated, and make improvements on the server side system more effective and efficient, and safe from hackers or viruses. This research also contributes to the realization of green computing that supports the commitment of college conservation.

Data storage on server laboratory at the computer science when needed.It was because application that progressively and document required was handled by more than one person.Currently there are 6 class space the laboratory contained 30 units of computer in each room. All the time, Laboran (person who manage and work in a laboratory) have to bring harddrive external if you want to install application needed for each the lab, but during this laboran has only two external hard drive. This condition resulted in the process of installation application in the laboratory require a long time. In addition, every month laboran have to make recapitulation contract for 22 person laboratory’s assistant. Now, to make contract assistant in the lab, laboran have to open one of the workstations that is in the fasilkom’s laboratory. This can slow performance, because laboran have to coming into the fasilkom’s laboratory. By the presence of the problems mentioned above, then built a file sharing that is used to hold the application of which is required in the entire room of Fasilkom’s laboratory. In addition, a file sharing this can be used to speed up the emoluments of the preparation of reports on the whole lab assistant that until now had been stored luminance space laboratory so that laboran no need to use more external hard disk in installation perform the process of application by opening the Samba through Windows Server Explorer. It is also the case to compile the report honorarium of the lab’s assistant, laboran enough to use of a file sharing fastly. A file sharing development is using the Linux Ubuntu operating system Version 12.04 and the application of the Samba Servers the Samba to connect storage a file that is in linux so that it can be opened in a windows or linux operating system based. Keywords : File Sharing Server, Samba Server, Linux Ubuntu, Computer Lab.

Data communication is the process of exchanging data between two or more devices through a transmission medium such as a cable. In order for the data communication can occur, the device must be connected to communicate with each other or be a part of a communication system consisting of hardware (hardware) and software (software). Samba server is a software bridge between the two operating systems that run within a computer network. Samba is able to share files with computers that use operating system linux, unix and windows with a peer to peer system. The time needed on the LAN network access system based on client file servers using Samba server with a minimum file size of 3MB and a maximum of 1GB for the download process is 04 minutes 54 seconds while the upload is 09 minutes 24 seconds. Speed transfer rate that is produced with a minimum file size of 3MB and a maximum of 1GB for the download process is 4.762Kbps and to upload is 1.896Kbps. On QoS testing conducted on 5 PCs, 10PC, 15pc and client 20PC result more and more PC client that accesses 1 file the success rate will be getting worse, it is because the bottleneck on the network.Kata Kunci : Network, client server, Samba Server

Abstrak: Jurnal ini akan Membahas dan Menganalisa tentang Pengembangan File Server yang digunakan untuk menangani suatu kesibukan Pengolahan Pertukaran Data di suatu Perkantoran. Data yang diproses menggunakan Jaringan Lokal, untuk mengecek Data-Data hasil kerja, Pertukaran Data sering tidak Akurat, dan Data tidak sesuai dengan kegunaannya, bahkan Data sering keliru dan Hilang. Pengembangan File Server harus disertai dengan adanya Pengamanan terhdap File karena sering adanya gangguan Virus yang datang melalui Jaringan. Disamping Pengamanan Haedware, harus disertai Pengamanan Softwarenya. Supaya jalannya proses Data-Data Administrasi menjadi Lancar dam terjamin Keamanannya. File Server yang dianalisa menggunakan Samba Riga dan Linux Redhat yang Effetif dabn Effisien. Untuk menjaga Keamanan dari File tersebut, maka digunakan pembagian untuk Hak Aksesnya yang digunakan oleh masing-masing Operator Data Administrasi. Jurnal yang diambil dari hasil Penelitian tentang Data Administrasi salah satu Kantor di Kabupaten Garut yang memerlukan Peralatan Komputer dan Jaringannya untuk memperlancar pengolahan Data. Pekerjaan yang sedang dikerjakan didukung oleh teknologi File Sharing yang memadai, supaya pejerjaan dalam Pengolahan data dapat dilaksanakan dengan lancar dan tepat waktu serta Akurat. Dengan menggunakan dan menganalisis File Server dan Keamanannya, maka hasil kerja yang didapat menjadi lebih cepat dan Sumber Daya yang dibutuhkan menjadi lebih hemat, sehingga Biaya yang dikeluarkan lebih kecil, serta dapat memnuhi biaya yang lainya yang berhubungan dengan Pengolahan Data Administrasi di Perkantoran. Dengan Analisis dan Pengembangan File Server Proses Kerja Dara Administrasi terutama Pertukaran Data menjadi lebih lancar dan Aman dari Akurat.Kata kunci : File server, Pertukaran Data, Administrasi Perkantoran.Abstract: This journal will discuss and analyze the development of file servers that are used to handle a busy Exchange of Data Processing in an Office. Data is processed using Local Networks, to check Data on work results, Data Exchange is often inaccurate, and Data is not in accordance with its use, even Data is often wrong and Missing. The development of a File Server must be accompanied by the Security of Files because of frequent Virus interruptions that come through the Network. Besides the security of hardware, it must be accompanied by security software. So that the process of running administrative data becomes smooth and guaranteed. The file server analyzed using Samba Riga and Effetive Linux Redhat and Efficient. To maintain the security of the file, the division for access rights used by each operator of data administration is used. Journals taken from the results of Research on Administrative Data, one of the Offices in Garut Regency that requires Computer and Network Equipment to facilitate data processing. The work that is being worked on is supported by adequate File Sharing technology, so that workers in data processing can be carried out smoothly and on time and accurately. By using and analyzing File Servers and Security, the work results obtained will be faster and the Resources needed will be more efficient, so that the costs incurred are smaller, and can meet other costs associated with Processing Administrative Data in Offices. With Analysis and Development of File Servers the Administration of Work Processes, especially Data Exchange, becomes more smooth and safethanAccurate. Keywords: File server, Data Exchange, Office Administration.

Abstract The increasing use of multimedia in computing is demanding more powerful computer hardware and system software. In particular, the stringent demands placed on multimedia file servers are unable to be satisfied by current magnetic disk technology or by current file systems techniques. This paper describes the design and implementation of a file server which has been specially optimized for continuous media. The critical performance issues which this paper addresses are the use of disk striping to provide high bandwidth, optimized disk layouts, hard real-time disk scheduling to ensure stream storage and retrieval guarantees are met, and a user interface to support high level multimedia abstractions.

Metadata performance scalability is critically important in high-performance computing when accessing many small files from millions of clients. This paper proposes a design of a scalable distributed metadata server, PPMDS, for parallel file systems using multiple key-value servers. In PPMDS, hierarchical namespace of a file system is efficiently managed by multiple servers. Multiple entries can be atomically updated using a nonblocking distributed transaction based on an algorithm of dynamic software transactional memory. This paper also proposes optimizations to further improve the metadata performance by introducing a server-side transaction processing, multiple readers, and a shared lock mode, which reduce the number of remote procedure calls and prevent unnecessary blocking. Performance evaluation shows the scalable performance up to 3 servers, and achieves 62,000 operations per second, which is 2.58x performance improvement compared to a single metadata performance.

Abstract Cloud computing is a technology that answers the challenge of the need for efficient computing technology. There are many things that can be implemented using cloud computing technologies such as web services, storage services, applications and others. Use of cloud computing using container technology can help in the management of applications and optimize the use of resources in the form of memory and processor usage on the server. In this research docker containers implemented by service of FTP (File Transfer Protocol). The FTP service is made into 3 containers within a single server computer. To handle load problems performance on the FTP server against overload requests, load balancing is used. Load balancing is a method to improve performance while reducing the performance load on FTP servers. Based on the test results, the use of multi container and load balancing in the FTP server in load with two algorithm least connection and raound robin handling has result of smaller memory usage and utilization of processor usage evenly. Both algorithms are recommended for handling loads for FTP servers and will be more efficient when applied to servers with the same specifications and loads Keywords: Cloud Computing, Docker, FTP, Load Balancing, HAProxy, Least Connection, Round Robin. Abstrak Cloud computing merupakan teknologi yang menjawab tantangan akan kebutuhan teknologi komputasi yang efisien. Terdapat banyak hal yang dapat diimplementasikan menggunakan teknologi cloud computing seperti web service, layanan penyimpanan, aplikasi dan lain-lain. Penerapan cloud computing dengan menggunakan teknologi container dapat membantu dalam pengelolaan aplikasi serta mengoptimalkan penggunaan sumber daya berupa penggunaan memory dan prosesor pada server. Dalam penelitian ini penerapan docker container diimplementasikan menggunakan layanan aplikasi FTP (File Transfer Protocol). Layanan FTP dibuat menjadi 3 container didalam satu computer server. Untuk menangani permasalahan beban kinerja pada FTP server terhadap permintaan yang terlalu berat (overload) digunakan load balancing. Load balancing merupakan metode untuk meningkatkan kinerja sekaligus mengurangi beban kinerja pada FTP server. Berdasarkan hasil pengujian, penerapan multi container serta load balancing didalam FTP server dalam penanganan beban dengan dua algortima least connection dan round robin memiliki hasil penggunaan memory yang lebih kecil dan pemanfaatan penggunaan prosesor yang merata kedua algoritma tersebut direkomendasikan untuk penanganan beban untuk ftp server dan akan lebih efisien apabila diterapkan pada server dengan spesifikasi dan beban yang sama. Kata Kunci: Cloud Computing, Docker, FTP, Load Balancing, HAProxy, Least Connection, Round Robin .

The emergence of the cloud storage has brought great convenience to people’s life. Many individuals and enterprises have delivered a large amount of data to the third-party server for storage. Thus, the privacy protection of data retrieved by the user needs to be guaranteed. Searchable encryption technology for the cloud environment is adopted to ensure that the user information is secure with retrieving data. However, most schemes only support single-keyword search and do not support file updates, which limit the flexibility of the scheme. To eliminate these problems, we propose a blockchain-enabled public key encryption scheme with multi-keyword search (BPKEMS), and our scheme supports file updates. In addition, smart contract is used to ensure the fairness of transactions between data owner and user without introducing a third party. At the data storage stage, our scheme realizes the verifiability by numbering the files, which ensures that the ciphertext received by the user is complete. In terms of security and performance, our scheme is secure against inside keyword guessing attacks (KGAs) and has better computation overhead than other related schemes.

Current infrastructures for Volunteer Computing follow a centralized architecture for data distribution, creating a potential bottleneck when tasks require large input files or the central server has limited bandwidth. In this paper we propose two new data models for Berkeley Open Infrastructure for Network Computing (BOINC): an approach based on the popular BitTorrent protocol; and a Content Delivery Network approach. While the latter remains on a theoretical level, we developed a prototype that adds BitTorrent functionality for task distribution and conducted medium-scale tests of the environment. Our preliminary results indicate that the BitTorrent client had a negligible influence on the BOINC client's computation time. The BOINC server showed an unexpectedly low bandwidth output when seeding the file, as well as spikes on CPU usage. This paper discusses the tests that were performed, how they were evaluated, as well as some improvements that could be made in future research on both approaches.

Virtualization is becoming increasingly important in bioscience, enabling assembly and provisioning of complete computer setups, including operating system, data, software, and services packaged as virtual machine images (VMIs). We present an open catalog of VMIs for the life sciences, where scientists can share information about images and optionally upload them to a server equipped with a large file system and fast Internet connection. Other scientists can then search for and download images that can be run on the local computer or in a cloud computing environment, providing easy access to bioinformatics environments. We also describe applications where VMIs aid life science research, including distributing tools and data, supporting reproducible analysis, and facilitating education. BioImg.org is freely available at: https://bioimg.org .

In 1999, exchanges of digital media objects, especially files of music, came to constitute a significant portion of Internet traffic, thanks to a new set of technologies known as peer-to-peer (P2P) file-sharing systems. The networks created by software applications such as Napster and Kazaa have made it possible for millions of users to gain access to an extraordinary range of multimedia files. However, the digital product characteristics of portability and replicability have posed great challenges for businesses that have in the past controlled the markets for image and sound recordings. ‘Peer-to-peer’ is a type of network architecture in which the various nodes may communicate directly with other nodes, without having to pass messages through any central controlling node (Whinston, Parameswaran, & Susarla, 2001). The basic infrastructure of the Internet relies on this principle for fault tolerance; if any single node ceases to operate, messages can still reach their destination by rerouting through other still-functioning nodes. The Internet today consists of a complex mixture of peer-to-peer and client-server relationships, but P2P file-sharing systems operate as overlay networks (Gummadi, Saroiu, & Gribble, 2002) upon that basic Internet structure. P2P file-sharing systems are software applications which enable direct communications between nodes in the network. They share this definition with other systems used for purposes other than file sharing, such as instant messaging, distributed computing, and media streaming. What these P2P technologies have in common is the ability to leverage the combined power of many machines in a network to achieve results that are difficult or impossible for single machines to accomplish. However, such networks also open up possibilities for pooling the interests and actions of the users so that effects emerge which were not necessarily anticipated when the network technology was originally created (Castells, 2000). In a narrow sense, P2P file-sharing systems refer to applications that exchange content over computer networks where the nodes act both as client and server machines, requesting and serving files (e.g., Kazaa, BitTorrent). In a wider sense, P2P file-sharing systems also include any application that lets peer users exchange digital content among themselves (e.g., YouTube, Flickr).

Aim/Purpose: [This Proceedings paper was revised and published in the 2018 issue of the journal Issues in Informing Science and Information Technology, Volume 15] This paper investigates the new technical skills that are needed for Data Engineering. Past research is compared to new research which creates a list of the 20 top tech-nical skills required by a Data Engineer. The growing availability of Data Engineering jobs is discussed. The research methodology describes the gathering of sample data and then the use of Pig and MapReduce on AWS (Amazon Web Services) to count occurrences of Data Engineering technical skills from 100 Indeed.com job advertisements in July, 2017. Background: A decade ago, Data Engineering relied heavily on the technology of Relational Database Management Sys-tems (RDBMS). For example, Grisham, P., Krasner, H., and Perry D. (2006) described an Empirical Soft-ware Engineering Lab (ESEL) that introduced Relational Database concepts to students with hands-on learning that they called “Data Engineering Education with Real-World Projects.” However, as seismic im-provements occurred for the processing of large distributed datasets, big data analytics has moved into the forefront of the IT industry. As a result, the definition for Data Engineering has broadened and evolved to include newer technology that supports the distributed processing of very large amounts of data (e.g. Hadoop Ecosystem and NoSQL Databases). This paper examines the technical skills that are needed to work as a Data Engineer in today’s rapidly changing technical environment. Research is presented that re-views 100 job postings for Data Engineers from Indeed (2017) during the month of July, 2017 and then ranks the technical skills in order of importance. The results are compared to earlier research by Stitch (2016) that ranked the top technical skills for Data Engineers in 2016 using LinkedIn to survey 6,500 peo-ple that identified themselves as Data Engineers. Methodology: A sample of 100 Data Engineering job postings were collected and analyzed from Indeed during July, 2017. The job postings were pasted into a text file and then related words were grouped together to make phrases. For example, the word “data” was put into context with other related words to form phrases such as “Big Data”, “Data Architecture” and “Data Engineering”. A text editor was used for this task and the find/replace functionality of the text editor proved to be very useful for this project. After making phrases, the large text file was uploaded to the Amazon cloud (AWS) and a Pig batch job using Map Reduce was leveraged to count the occurrence of phrases and words within the text file. The resulting phrases/words with occurrence counts was download to a Personal Computer (PC) and then was loaded into an Excel spreadsheet. Using a spreadsheet enabled the phrases/words to be sorted by oc-currence count and then facilitated the filtering out of irrelevant words. Another task to prepare the data involved the combination phrases or words that were synonymous. For example, the occurrence count for the acronym ELT and the occurrence count for the acronym ETL were added together to make an overall ELT/ETL occurrence count. ETL is a Data Warehousing acronym for Extracting, Transforming and Loading data. This task required knowledge of the subject area. Also, some words were counted in lower case and then the same word was also counted in mixed or upper case, thus producing two or three occur-rence counts for the same word. These different counts were added together to make an overall occur-rence count for the word (e.g. word occurrence counts for Python and python were added together). Fi-nally, the Indeed occurrence counts were sorted to allow for the identification of a list of the top 20 tech-nical skills needed by a Data Engineer. Contribution: Provides new information about the Technical Skills needed by Data Engineers. Findings: Twelve of the 20 Stitch (2016) report phrases/words that are highlighted in bold above matched the tech-nical skills mentioned in the Indeed research. I considered C, C++ and Java a match to the broader cate-gory of Programing in the Indeed data. Although the ranked order of the two lists did not match, the top five ranked technical skills for both lists are similar. The reader of this paper might consider the skills of SQL, Python, Hadoop/HDFS to be very important technical skills for a Data Engineer. Although the programming language R is very popular with Data Scientists, it did not make the top 20 skills for Data Engineering; it was in the overall list from Indeed. The R programming language is oriented towards ana-lytical processing (e.g. used by Data Scientists), whereas the Python language is a scripting and object-oriented language that facilitates the creation of Data Pipelines (e.g. used by Data Engineers). Because the data was collected one year apart and from very different data sources, the timing of the data collection and the different data sources could account for some of the differences in the ranked lists. It is worth noting that the Indeed research ranked list introduced the technical skills of Design Skills, Spark, AWS (Amazon Web Services), Data Modeling, Kafta, Scala, Cloud Computing, Data Pipelines, APIs and AWS Redshift Data Warehousing to the top 20 ranked technical skills list. The Stitch (2016) report that did not have matches to the Indeed (2017) sample data for Linux, Databases, MySQL, Business Intelligence, Oracle, Microsoft SQL Server, Data Analysis and Unix. Although many of these Stitch top 20 technical skills were on the Indeed list, they did not make the top 20 ranked technical skills. Recommendations for Practitioners: Some of the skills needed for Database Technologies are transferable to Data Engineering. Recommendation for Researchers: None Impact on Society: There is not much peer reviewed literature on the subject of Data Engineering, this paper will add new information to the subject area. Future Research: I'm developing a Specialization in Data Engineering for the MS in Data Science degree at our university.