Manajemen Backup Data untuk Penyelamatan Data Nasabah pada Sistem Informasi Perbankan (Studi Kasus : PT Bank XYZ)

2020 ◽  
Vol 4 (2) ◽  
pp. 1
Author(s):  
Andi Rosano ◽  
Djadjat Sudaradjat
Keyword(s):  
Online Recovery ◽  
Incremental Backup

Data sistem informasi online pada PT Bank XYZ merupakan database yang tersimpan pada web/email server bank yang dapat diakses secara online oleh pemakai. Beberapa faktor internal telah menjadi penyebab kerusakan server dan berakibat tidak beroperasinya sistem. Salah satu cara untuk menyelamatkan data dari kehilangan atau kerusakan adalah melalui manajemen backup data yang pelaksanaanya dijalankan secara teratur. Solusi untuk masalah ini adalah penggabungan metode full backup dan incremental backup dalam manajemen backup data, dimana metode ini sangat mudah digunakan serta ekonomis. Langkah berikutnya setelah backup data adalah proses restore yang merupakan proses pengembalian atau recovery data yang sangat penting apabila terjadi kerusakan data. Pada tulisan ini akan dibahas metode backup data dalam upaya penyelamatan data online. Dalam pemilihan metode backup ini sangat tergantung pada keandalan sistem dan kinerja, sehingga proses penyelamatan data dilakukan dengan tepat dan aman   Kata Kunci; backup, database, incremental,  online, recovery, restore, server

ORBITS

2020 ◽  
Vol 14 (3) ◽  
pp. 294-306
Author(s):  
Mourad Khayati ◽  
Ines Arous ◽  
Zakhar Tymchenko ◽  
Philippe Cudré-Mauroux
Keyword(s):  
Time Series ◽  
Linear Time ◽  
Multiple Time ◽  
Multiple Time Series ◽  
Online Data ◽  
Incremental Computation ◽  
Online Recovery ◽  
Recovery Technique ◽  
Centroid Decomposition

With the emergence of the Internet of Things (IoT), time series streams have become ubiquitous in our daily life. Recording such data is rarely a perfect process, as sensor failures frequently occur, yielding occasional blocks of data that go missing in multiple time series. These missing blocks do not only affect real-time monitoring but also compromise the quality of online data analyses. Effective streaming recovery (imputation) techniques either have a quadratic runtime complexity, which is infeasible for any moderately sized data, or cannot recover more than one time series at a time. In this paper, we introduce a new online recovery technique to recover multiple time series streams in linear time. Our recovery technique implements a novel incremental version of the Centroid Decomposition technique and reduces its complexity from quadratic to linear. Using this incremental technique, missing blocks are efficiently recovered in a continuous manner based on previous recoveries. We formally prove the correctness of our new incremental computation, which yields an accurate recovery. Our experimental results on real-world time series show that our recovery technique is, on average, 30% more accurate than the state of the art while being vastly more efficient.

Overview of Goal Planning

2019 ◽  
pp. 51-58
Author(s):  
Dennis C. Daley ◽  
Antoine Douaihy
Keyword(s):  
Substance Use ◽  
Family Therapy ◽  
Rehabilitation Program ◽  
Support Programs ◽  
Chat Room ◽  
Health And Wellness ◽  
Mutual Support ◽  
Online Recovery ◽  
P Recovery ◽  
Goal Planning

Recovery is a process of change in which clients improve their health and wellness. They set goals to work toward stopping substance use and learn skills to change themselves and their lifestyles so they can live substance-free. There are different paths to recovery, including individual, group, and/or family therapy; engaging in a treatment program such as a residential or nonresidential rehabilitation program; taking medications for addiction to alcohol, opioids, or nicotine; engaging in mutual support programs; participating in chat room discussions or online recovery meetings; using support from other people; and participating in community or self-growth activities that help clients sustain recovery. The goals of this chapter are for clients to begin to set and prioritize their recovery goals and to learn about the different paths and components of recovery.

scholarly journals Adaptive control in roll-forward recovery for extreme scale multigrid

2018 ◽  
Vol 33 (5) ◽  
pp. 817-837
Author(s):  
Markus Huber ◽  
Ulrich Rüde ◽  
Barbara Wohlmuth
Keyword(s):  
Adaptive Control ◽  
High Performance ◽  
Solution Process ◽  
Iterative Solution ◽  
Weighted Sums ◽  
Error Estimator ◽  
Recovery Method ◽  
Online Recovery ◽  
Healthy Part ◽  
Extreme Scale

With the increasing number of compute components, failures in future exa-scale computer systems are expected to become more frequent. This motivates the study of novel resilience techniques. Here, we extend a recently proposed algorithm-based recovery method for multigrid iterations by introducing an adaptive control. After a fault, the healthy part of the system continues the iterative solution process, while the solution in the faulty domain is reconstructed by an asynchronous online recovery. The computations in both the faulty and the healthy subdomains must be coordinated in a sensitive way, in particular, both under- and over-solving must be avoided. Both of these waste computational resources and will therefore increase the overall time-to-solution. To control the local recovery and guarantee an optimal recoupling, we introduce a stopping criterion based on a mathematical error estimator. It involves hierarchically weighted sums of residuals within the context of uniformly refined meshes and is well-suited in the context of parallel high-performance computing. The recoupling process is steered by local contributions of the error estimator before the fault. Failure scenarios when solving up to 6.9 × 1011 unknowns on more than 245,766 parallel processes will be reported on a state-of-the-art peta-scale supercomputer demonstrating the robustness of the method.

scholarly journals The use of digital technology in substance misuse recovery

2016 ◽  
Vol 10 (4) ◽  
Author(s):  
Stephanie Dugdale ◽  
Sarah Elison ◽  
Glyn Davies ◽  
Jonathan Ward ◽  
Michaela Jones
Keyword(s):  
Online Survey ◽  
Substance Misuse ◽  
Online Resources ◽  
Future Research ◽  
Initial Contact ◽  
Mutual Aid ◽  
Online Data ◽  
Online Treatment ◽  
Online Recovery ◽  
Recovery Resources

Alongside recent trends in the purchasing of illicit substances online, there has been a growth in the availability of online resources dedicated to treatment and recovery from substance misuse, including online interventions, mutual-aid groups and forums. Currently however, there is a lack of research on the utilisation of these online resources. Therefore, the aim of this study was to examine the use of these online resources by employing online data collection techniques. A quantitative online survey was used to investigate the range of online recovery resources used, and to compare the types of resources used at different stages of the substance misuse recovery journey. Qualitative online interviews were also conducted to investigate how individuals use these online resources alongside traditional offline recovery resources. Analyses revealed that forums were the most widely accessed online resource, however participants who were currently working towards abstinence were more likely to use therapeutic resources that explore the underlying causes behind substance misuse and help to manage these difficulties. Qualitative findings suggested an interaction between online and offline recovery resources. For example, participants reported that online resources may provide initial contact information for offline recovery meetings, or that offline support with developing digital skills may facilitate access to online resources. Despite these apparent benefits, there is limited signposting advice to direct people to appropriate online treatment and recovery resources for their substance misuse, so it is hoped that the findings from this study will help to inform future research around the production of such signposting advice.

scholarly journals Participation with online recovery specific groups - findings from the UK Life in Recovery survey 2015

2018 ◽  
Vol 36 (4) ◽  
pp. 459-481 ◽  
Author(s):  
Simon Graham ◽  
Jamie Irving ◽  
Ivan Cano ◽  
Michael Edwards
Keyword(s):  
Online Recovery ◽  
The Uk
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