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Impact of Segmentation and Popularity-based Cache Replacement Policies on Named Data Networking Negara, Ridha Muldina; Wasesa, Novan Purba; Muhammad, Zaid; Mayasari, Ratna; Astuti, Sri
Jurnal Rekayasa Elektrika Vol 20, No 1 (2024)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v20i1.34309

Abstract

The data distribution mechanism of internet protocol (IP) technology is inefficient because it necessitates the user to await a response from the server. Named data networking (NDN) is a cutting-edge technology being assessed for enhancing IP networks, primarily because it incorporates a data packet caching technique on every router. However, the effectiveness of this approach is highly dependent on the router's content capacity, thus requiring the use data replacement mechanism when the router capacity is full. The least recently used (LRU) method is employed for cache replacement policy; yet, it is considered ineffective as it neglects the content's popularity. The LRU algorithm replaces the infrequently requested data, leading to inefficient caching of popular data when multiple users constantly request it. To address this problem, we propose a segmented LRU (SLRU) replacement strategy that considers content popularity. The SLRU will evaluate both popular content and content that has previously been popular in two segment categories, namely the probationary and protected segments. Icarus simulator was used to evaluate multiple comprehensive scenarios. Our experimental results show that the SLRU obtains a better cache hit ratio (CHR) and able to minimize latency and link load compared to existing cache replacement policies such as First In, First Out (FIFO), LRU, and Climb.
IMPLEMENTASI LOAD BALANCING MENGGUNAKAN NS-3 PADA NAMED DATA NETWORKING Safitri, Nesya Alvioni; Mayasari, Ratna; Wibowo, Tody Ariefianto
eProceedings of Engineering Vol. 10 No. 4 (2023): Agustus 2023
Publisher : eProceedings of Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Bertambahnya kebutuhan pengguna (consumer) membutuhkan arsitektur jaringan yang semakin handal. Named Data Networking (NDN) hadir sebagai salah satu arsitektur jaringan masa depan yang berfokus pada data-centric. Arsitektur NDN memiliki potensi terkait pengelolaan data yang lebih dikonsentrasikan pada pertukaran data daripada letak asal data tersebut. Jaringan NDN yang masih baru memerlukan mekanisme load balancing untuk mengatasi ketidakseimbangan pembagian tugas saat penyedia layanan (producer) melayani request yang datang dari consumer. Random Load Balancing (RLB) merupakan salah satu algoritma pada mekanisme load balancing NDN. Penerapan algoritma RLB mampu memaksimalkan peran producer agar dapat mendistribusikan request consumer secara tepat sehingga beban komputasi lebih rendah. Pada Tugas Akhir ini dilakukan simulasi penelitian algoritma RLB pada mekanisme load balancing NDN. Perubahan parameter pengujian meliputi frekuensi interest packet, ukuran bandwidth, ukuran payload, jumlah node consumer, jumlah node producer, jumlah node router dan perbandingan tanpa menggunakan algoritma RLB untuk mengetahui performa jaringan. Dari simulasi yang dilakukan didapatkan data 48,4% lebih baik dengan menggunakan algoritma RLB daripada tanpa menggunakan algoritma tersebut. Algoritma ini mendukung mekanisme load balancing pada jaringan NDN untuk memaksimalkan potensi producer yang tersedia. Hasil analisis berdasarkan parameter Quality of Service (QoS) menunjukkan nilai yang konsisten terhadap efek perubahan selama pengujian.Kata Kunci: NDN, load balancing, algoritma RLB, NS-3, ndnSIM
Penerapan Teknologi Content Delivery Network (CDN) untuk Mendukung Digitalisasi Sekolah di Daerah 3T Syambas, Nana Rachmana; Ahdan, Syaiful; Hamidi, Eki Ahmad Zaki; Mayasari, Ratna; Nurhayati, Ade; Nurkahfi, Galih Nugraha; Jupriyadi, Jupriyadi; Sucipto, Adi; Arifin, Hasan Nur; Tulloh, Rohmat
GUYUB: Journal of Community Engagement Vol 6, No 4 (2025): Desember
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/guyub.v6i4.12976

Abstract

This Community Service Program was implemented at SMKS Bumi Moro, Pulau Morotai Regency, a school located in a frontier, outermost, and underdeveloped (3T) region. The school was selected due to its limited telecommunication infrastructure, which has significantly constrained the implementation of digital learning. An initial survey revealed that the school relied on a single unstable internet access point, had only 12 active computers for approximately 180 students, and most teachers lacked experience in independently operating a Learning Management System (LMS). These conditions highlighted the urgent need for technological intervention. The program adopted a Participatory Action Research (PAR) approach consisting of four stages: (1) needs analysis through online surveys and interviews with the school principal and 20 teachers; (2) design and implementation of a local Content Delivery Network (CDN) integrated with Starlink-based internet connectivity; (3) training and mentoring on Moodle LMS utilization and the introduction of Artificial Intelligence (AI) applications in learning; and (4) evaluation of program effectiveness. The training involved 30 participants, including 20 teachers and 10 educational staff members. Evaluation using a Likert-scale questionnaire (1–5) showed that 70% of participants were very satisfied and 30% were satisfied, with average scores ranging from 4.6 to 4.9. Post-program observations indicated improved teacher capacity in managing digital classes, conducting online assessments, and utilizing stable internet access. Overall, the program successfully strengthened digital learning infrastructure and teacher competence, offering a replicable model for other schools in 3T regions in Indonesia.
Co-Authors Achmad Mustofa Luthfi Ade Nurhayati, Ade Adi Sucipto, Adi Adith Priyo Pratama Aditya Bram Wiratma Aditya Kurniawan Agtusia, Arwidya Tantri Ahdan, Syaiful Ahmad Abdillah Siddiq Ahmad Fauzan Jaya Ahmad Mudhoffar Rabbani Ahmad Mudhoffar Rabbani Ahmad Saifuddin Mufid Ahmad Thoriq Azzam Ahmad Tri Hanuranto Aidil Afdan Pananrang Alifiyah Pratiwi P.Wedda AM, Debby Tri Wulandari Amelia Putri Anggadhini Andarwati, Sari Ardhi Anzala Muhammad Ari Satrio Arif Faturrachman Arif Indra Irawan Arifin, Hasan Nur Azella Nanda Yudri Azella Nanda Yudri Azella Nanda Yudri Azwar Hamsir Azzam, Ahmad Thoriq Bahtiar Widayanto Basuki Rahmat Brando, Robby Marlon Budi Syihabuddin Chrisna Fiddin Danu Dwi Sanjoyo Devi Fitriani Devyta Asterina Dimas Surya Putra Dimitri Mahayana Dini Adlina Salman DWI ANDI NURMANTRIS Dwima Anggraini Elfarizi, Sayid Huseini Ellia Kristiningrum Erna Sri Sugesti Faishal Yusuf Baqir Fakhri Rahmatullah Faturrachman, Arif Fransisca Elisa Rahardjo Gregorius Pradana Satriawan Hafidudin . Hamidi, Eki Ahmad Zaki Hasnah Faradina Nur Ilham Hurianti Vidyaningtyas Ibnu Asror Ida Wahidah Hamzah Indrarini Irawati Iwan Iwut Tritoasmoro Jupriyadi, Jupriyadi Kharisma Bani Adam Leanna Vidya Yovita M, Fajri Ismail Mario Putra Masriza Kurniawan Maya Rosalia Mochamad Adhi Pratama Muhammad Ary Murti Muhammad Eko Wahyudi Muhammad Rizki Utomo Muhammad Rizky Ramzani Muhammad, Zaid Nabila Nabila Nadya Dwi Aulia Nana Rachmana Syambas Naufal Dzulfiqar Anwar Nindithia Putri Windryani Nurkahfi, Galih Nugraha Nyoman Bogi Aditya Karna Rahmatullah, Fakhri Ratih Loviesta Nurbed Rendy Munadi Reza Nuryati Riany Erdiyanti Ridha Muldina Negara Rivaldy Arif Pratama Riyo Surya Putra Rizal Erwin Irwansyah Rizqi Surya Utama ROHMAT TULLOH Safitri, Nesya Alvioni Salwa Aulia Farida Y Sayid Huseini Elfarizi Septhian Dwi Putra Prabowo Setia Juli Irzal Ismail Sofia Naning Hertiana Sri Astuti Sri Astuti Sugondo Hadiyoso Tiara Tiara Tody Ariefianto Wibowo Toni Kusnandar Tuntun Aditara Maharta Vikry Fadillah Wasesa, Novan Purba Wildan Yoga Swara Xavier Samuel MFP Yeni Sanovia YULI SUN HARIYANI