delay tolerance
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Author(s):  
Katherine R. Brown ◽  
Reagan N. Gaynor ◽  
Kayla R. Randall ◽  
Amanda N. Zangrillo

2021 ◽  
Vol 14 (2) ◽  
pp. 42
Author(s):  
IYAS ALODAT

In this paper will discuss and examine message transmission from the attacker process within the scope of Delay Tolerance Networks (DTNs). DTNs are a new area of research that can be developed in networking. Delay-tolerant networks are those networks that may not have a complete path between networks end-to-end via direct links and may be under development for a long time. As part of the improvement, we will compare a survey of DTN routing protocols with a real region area, and then taking into account the possibilities of detecting the presence of areas of weakness that lead to penetration, which will occur in the nodes while on the move. In this study, we will use the ONE simulator to track messages within nodes.


2021 ◽  
Vol 147 ◽  
pp. 107109
Author(s):  
David J. Miller ◽  
Najah F. Ghalyan ◽  
Sudeepta Mondal ◽  
Asok Ray

2020 ◽  
Vol 17 (12) ◽  
pp. 5520-5527
Author(s):  
A. Andrew Michael ◽  
M. Thiagarajan

Queuing theory is a formal mathematical model of late response arrival of customer waiting in various access services, accepting processes management as a whole field. Often multiple server sorting can be used to estimate the number of servers and service rates be high due too lacking of time, with an average delay sequence in the analysis. Using these sequence models to read more than one sequence during execution approximates system sorting performance. To resolve this problem we modulated the distributed process into Virtualized Target Queuing Balanced Model (VTQBM) using Vmax/M/G-Load (Min)/Cache-P2λM for reducing queuing time expectation of customer delay tolerance. The Virtual Resource queuing System is optimized with fork-join queue by creating single to multimodal service performance using target request load balancer in a shared distribution mode. Sorting the request buffer cache is created based on Customer Request Arrival Rate (CRAR) and resource output preferred to check with target rule waiting in the Load balancer. To improve the use of model complex virtual resource sharing shared with customer arrival to Cache Target Load Allocator (CTLA) on queuing distributed resources, This fork joiner target the service performance to reduce the customer waiting time in queuing and produce outputs can achieve a different parameter input transformation on queuing theory.


2020 ◽  
Vol 3 (3) ◽  
pp. 625
Author(s):  
Giovanni Bintang ◽  
Dewi Linggasari ◽  
Hokbyan Angkat

Commuter Line trains are one of the modes of transportation that are very popular with the Jabodetabek community. KRL Commuter Line is capable of reducing the level of congestion in urban areas, so it is expected that the KRL Commuter Line is able to meet the needs of the community with punctuality in performance. This study’s purpose is to identify the timeliness of Green Line KRL departures by scheduling it and classify the level of Green Line KRL departure delays and determine solutions that can be applied to reduce the level of KRL Green Line departure. The research method used to collect data by online surveys and field studies. Then analyzed with Gap Analysis in order to obtain information about individual characteristics, characteristics of travel, and perceived delays according to KRL Green Line users. From the results of the analysis, it was found that KRL users have 3 late tolerance limits according to the Ministerial Regulation set a delay tolerance limit of 5 minutes while the results of the perception of KRL users on the Green Line lane tolerance limit of 5 minutes and finally according to KRL users at Cisauk Station tolerate delays by 10 minutes.  ABSTRAKKereta Commuter Line adalah salah satu moda transportasi yang sangat diminati masyarakat Jabodetabek. KRL Commuter Line juga dinilai mampu mengurangi tingkat kemacetan di perkotaan, sehingga diharapkan KRL Commuter Line mampu memenuhi kebutuhan masyarakat dengan ketepatan waktu dalam kinerjanya. Tujuan penelitian ini adalah untuk mengindentifikasi ketepatan waktu keberangkatan KRL Green Line dengan penjadwalannya serta mengklasifikasikan tingkat keterlambatan keberangkatan KRL Green Line dan menentukan solusi yang dapat diterapkan untuk mengurangi tingkat keterlambatan keberangkatan KRL Green Line. Metode Penelitian yang digunakan untuk mengumpulkan data adalah dengan survey online dan studi lapangan. Lalu dianalisis dengan Gap Analysis agar didapatkan informasi mengenai karateristik individu, karateristik perjalanan, dan persepsi keterlambatan menurut pengguna  KRL Green Line. Dari hasil analisis, didapat bahwa pengguna KRL mempunyai 3 batasan toleransi keterlambatan yaitu menurut Peraturan Menteri ditetapkan batas toleransi keterlambatan sebesar 5 menit sedangkan hasil dari persepsi pengguna KRL jalur Green Line batas toleransi keterlambatan sebesar 5 menit dan yang terakhir menurut pengguna KRL di Stasiun Cisauk menoleransikan keterlambatan sebesar 10 menit.


2020 ◽  
Vol 3 (3) ◽  
pp. 583
Author(s):  
Felix Jonathan Christy ◽  
Dewi Linggasari ◽  
Hokbyan Angkat

One of the modes of transportation that are of interest to the Jabodetabek community is the Kereta Rel Listrik (KRL) Commuter Line. The title of this research is the Analysis of the Level of Late Departure of the Green Line KRL Against GAPEKA at Jurangmangu Station. The purpose of this study is to identify the timeliness of Green Line KRL departures by scheduling them at Jurangmangu Station and to classify the delay level of Green Line KRL departures and determine solutions that can be applied to reduce the level of KRL Green Line late departures, especially at Jurangmangu Station. The research method used to collect data on passenger characteristics and train delays is to online survey using a questionnaire and research at the station. Delay is analyzed by Gap Analysis by comparing the time in the field and the GAPEKA. The time difference is assessed based on the tolerance of delay from the Ministerial Regulation and passenger tolerance at Jurangmangu Station. Delay tolerance according to Ministerial Regulation is 6 minutes and according to passengers is 10 minutes. The results showed that the delay of train departures at Jurangmangu Station was still below the tolerance limit for delays.  ABSTRAKSalah satu moda transportasi yang diminati masyarakat Jabodetabek adalah Kereta Rel Listrik (KRL) Commuter Line. Judul penelitian ini adalah Analisis Tingkat Keterlambatan Keberangkatan KRL Green Line Terhadap GAPEKA di Stasiun Jurangmangu. Tujuan penelitian ini adalah untuk mengindentifikasi ketepatan waktu keberangkatan KRL Green Line dengan penjadwalannya di Stasiun Jurangmangu serta mengklasifikasikan tingkat keterlambatan keberangkatan KRL Green Line dan menentukan solusi yang dapat diterapkan untuk mengurangi tingkat keterlambatan keberangkatan KRL Green Line terutama di Stasiun Jurangmangu. Metode Penelitian yang digunakan untuk mengumpulkan data karakteristik penumpang dan keterlambatan kereta adalah dengan survei secara online dengan menggunakan kuesioner dan penelitian langsung di stasiun. Keterlambatan dianalisis dengan Gap Analysis dengan membandingkan antara waktu di lapangan dan Grafik Perjalanan Kereta Api (GAPEKA). Kemudian perbedaan waktu tersebut dinilai berdasarkan toleransi keterlambatan dari Peraturan Menteri dan toleransi penumpang di Stasiun Jurangmangu. Toleransi keterlambatan menurut Peraturan Menteri adalah 6 menit dan menurut penumpang adalah 10 menit. Hasil penelitian menunjukkan bahwa keterlambatan keberangkatan kereta di Stasiun Jurangmangu masih di bawah batas toleransi keterlambatan.


2020 ◽  
Vol 10 (8) ◽  
pp. 1440-1452
Author(s):  
Karolina Frączek ◽  
Mattia Ferraiolo ◽  
Emmanuel Hermans ◽  
Magdalena Bujalska-Zadrozny ◽  
Kaja Kasarello ◽  
...  

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