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Ditemukan 6 dokumen yang sesuai dengan query
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Peleg, David
Abstrak :
This volume presents the locality-sensitive approach to distributed network algorithms-the utilization of locality to simplify control structures and algorithms and reduce their costs. The author begins with an introductory exposition of distributed network algorithms focusing on topics that illustrate the role of locality in distributed algorithmic techniques. He then introduces locality-preserving network representations and describes sequential and distributed techniques for their construction. Finally, the applicability of the locality-sensitive approach is demonstrated through several applications. Distributed Computing: A Locality-Sensitive Approach is the only book that gives a thorough exposition of network spanners and other locality-preserving network representations such as sparse covers and partitions. The book is useful for computer scientists interested in distributed computing, electrical engineers interested in network architectures and protocols, and for discrete mathematicians and graph theorists.
Philadelphia : Society for Industrial and Applied Mathematics, 2000
e20442719
eBooks  Universitas Indonesia Library
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Ammarul Haq
Abstrak :
HTML5 merupakan versi terbaru dari HTML. Pada HTML5 terdapat fitur web workers yang bisa bekerja dibalik layar tanpa mengganggu tampilan antarmuka user. Dengan web workers, memungkinkan untuk dilakukan komputasi paralel. Dari hal tersebut, penulis membuat rancangan sistem perhitungan parallel terdistribusi berbasis web menggunakan web workers pada HTML5. Terobosan ide ini bisa menjadikan HTML5 bekerja layaknya komputer virtual yang bisa dimanfaatkan untuk melakukan perhitungan paralel terdistribusi. Penulis juga menggunakan Hukum Amdahl dalam menganalisis banyaknya web workers terhadap waktu yang dibutuhkan dalam menyelesaikan algoritma yang diberikan.
HTML5 is the latest version of the HTML. On HTML5 web workers, there are features that can work behind the scenes without interrupting user interface. The existence of web workers makes it possible to do parallel computing. This particular breakthrough enables HTML5 to perform like a virtual computer mdash which can be used to perform calculations without any physical treatment or maintenance costs. The writer also uses Amdahl Law to analyse the amount of web workers needed against the time needed to complete the given algorithm.
Depok: Fakultas Teknik Universitas Indonesia, 2017
S69451
UI - Skripsi Membership  Universitas Indonesia Library
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Priagung Khusumanegara
Abstrak :
Komputasi terdistribusi merupakan salah satu kemajuan teknologi dalam mengolah data. Penggunaan komputasi terdistribusi memudahkan user untuk mengolah data menggunakan beberapa komputer yang secara fisik terpisah atau terdistribusi. Salah satu teknologi yang menggunakan konsep komputasi terditribusi adalah Hadoop. Hadoop merupakan framework software berbasis Java dan open source yang berfungsi untuk mengolah data yang memiliki ukuran yang besar secara terdistribusi. Hadoop menggunakan sebuah framework untuk aplikasi dan programming yang disebut dengan MapReduce. Enam skenario diimplementasikan untuk menganalisa performa kecepatan MapReduce pada Hadoop. Berdasarkan hasil pengujian yang dilakukan diketahui penambahan jumlah physical machine dari satu menjadi dua physical machine dengan spesifikasi physical machine yang sesuai perancangan dapat mempercepat kecepatan rata-rata MapReduce. Pada ukuran file 512 MB, 1 GB, 1.5 GB, dan 2 GB, penambahan physical machine dapat mempercepat kecepatan rata-rata MapReduce pada masing-masing ukuran file sebesar 161.34, 328.00, 460.20, dan 525.80 detik. Sedangkan, penambahan jumlah virtual machine dari satu menjadi dua virtual machine dengan spesifikasi virtual machine yang sesuai perancangan dapat memperlambat kecepatan rata-rata MapReduce. Pada ukuran file 512 MB, 1 GB, 1.5 GB, dan 2 GB, penambahan virtual machine dapat memperlambat kecepatan rata-rata MapReduce pada masing-masing ukuran file sebesar 164.00, 504.34, 781.27, dan 1070.46 detik. Berdasarkan hasil pengukuran juga diketahui bahwa block size dan jumlah slot map pada Hadoop dapat mempengaruhi kecepatan MapReduce. ...... Distributed computing is one of the advance technology in data processing. The use of distributed computing allows users to process data using multiple computers that are separated or distributed physically. One of technology that uses the concept of distributed computing is Hadoop. Hadoop is a Java-based software framework and open source which is used to process the data that have a large size in a distributed manner. Hadoop uses a framework for application and programing which called MapReduce. Six scenarios are implemented to analyze the speed performance of Hadoop MapReduce. Based on the study, known that the additional the number of physical machines from one to two physical machines with suitable specifications design can speed up the average speed of MapReduce. On file 512 MB, 1 GB, 1.5 GB, and 2 GB size additional the number of physical machines can accelerate MapReduce average speed on each file size for 161.34, 328.00, 460.20, and 525.80 seconds. Meanwhile, additional the number of virtual machines from one to two virtual machines with suitable specifications design can slow down the average speed of MapReduce. On file 512 MB, 1 GB, 1.5 GB, and 2 GB size, additional the number of virtual machines can slow down the average speed of each MapReduce on a file size for 164.00, 504.34, 781.27, and 1070.46 seconds. Based on the measurement result is also known that the block size and number of slot maps in Hadoop MapReduce can affect speed.
Depok: Fakultas Teknik Universitas Indonesia, 2014
S55394
UI - Skripsi Membership  Universitas Indonesia Library
cover
Mahmoodi, Seyed Eman
Abstrak :
This book presents solutions to the problems arising in two trends in mobile computing and their intersection: increased mobile traffic driven mainly by sophisticated smart phone applications; and the issue of user demand for lighter phones, which cause more battery power constrained handhelds to offload computations to resource intensive clouds (the second trend exacerbating the bandwidth crunch often experienced over wireless networks). The authors posit a new solution called spectrum aware cognitive mobile computing, which uses dynamic spectrum access and management concepts from wireless networking to offer overall optimized computation offloading and scheduling solutions that achieve optimal trade-offs between the mobile device and wireless resources. They show how in order to allow these competing goals to meet in the middle, and to meet the promise of 5G mobile computing, it is essential to consider mobile offloading holistically, from end to end and use the power of multi-radio access technologies that have been recently developed. Technologies covered in this book have applications to mobile computing, edge computing, fog computing, vehicular communications, mobile healthcare, mobile application developments such as augmented reality, and virtual reality. - Gives readers valuable insights into the future of mobile computing and communication; - Touches on wireless technologies such as 5G, mobile edge computing (MEC), mobile cloud services, and cognition-based networking; - Provides examples throughout the book to provide insight into real world scenarios.
Switzerland: Springer Nature, 2019
e20509738
eBooks  Universitas Indonesia Library
cover
Abstrak :
This book features high-quality research papers presented at the International Conference on Advanced Computing and Intelligent Engineering (ICACIE 2017). It includes sections describing technical advances in the fields of advanced computing and intelligent engineering, which are based on the presented articles. Intended for postgraduate students and researchers working in the discipline of computer science and engineering, the proceedings also appeal to researchers in the domain of electronics as it covers hardware technologies and future communication technologies.
Singapore: Springer Singapore, 2019
e20501723
eBooks  Universitas Indonesia Library
cover
Abstrak :
The book gathers high-quality research papers presented at the International Conference on Advanced Computing and Intelligent Engineering (ICACIE 2017). It includes technical sections describing progress in the fields of advanced computing and intelligent engineering, and is primarily intended for postgraduate students and researchers working in Computer Science and Engineering. However, researchers working in Electronics will also find the book useful, as it addresses hardware technologies and next-gen communication technologies.
Singapore: Springer Nature, 2019
e20509918
eBooks  Universitas Indonesia Library