Pengujian Kinerja Web Server Atas Penyedia Layanan Elastic Cloud Compute (EC2) Pada Amazon Web Services (AWS)

Fandy,; Rosmasari,; Putra, Gubtha Mahendra

doi:10.30872/atasi.v1i1.45

Cited by 4 publications

(3 citation statements)

References 2 publications

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“…VPS merupakan jenis hosting di mana sumber dayanya berasal dari satu server fisik yang terbagi menjadi beberapa server virtual yang beroperasi seperti dedicated server . Sementara Cloud hosting menggunakan sumber daya dari beberapa server fisik terpusat yang bekerja secara bersamaan, sering kali dalam bentuk cluster (Fandy, 2022) ).…”

Section: Pendahuluanunclassified

Pengujian Kinerja Web Server Elastic Cloud Compute (Ec2) Free Tier Pada Amazon Web Service (Aws) Menggunakan Jmeter

Nur Hidayat,

Rizaldy,

Hartono

et al. 2024

j.sist.inf.inform.

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The research aims to evaluate the capacity of Amazon Web Service's (AWS) Elastic Cloud Compute (EC2) Free Tier Web Server using the JMeter testing tool. The objective is to ascertain the extent of the server's load-bearing capabilities. Tests were conducted, loading 500 users within a 10-second range and 1000 users within a 1-second range. Despite being a free service, test results showed the server's capability to handle high loads without errors (0% error rate). These findings illustrate the free service's ability to maintain stable performance under significant user loads. The utilization of EC2 Free Tier on AWS demonstrates its capacity to handle heavy tasks without compromising service quality. From about 5 steps in each of two tests, the value for sample time / response time in the initial test of the Amazon Web Service Web server is 59 / ms (millisecond) and the average latency value in the second test, namely 7.213 /ms (millisecond). Both of these gained CPU Utilization from minum, average and maximum with final rate are zero Error. This outcome concludes that the free server possesses robust and reliable capabilities, instilling confidence in an effective and efficient server solution even under high usage levels without additional costs.

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Section: Pendahuluanunclassified

Pengujian Kinerja Web Server Elastic Cloud Compute (Ec2) Free Tier Pada Amazon Web Service (Aws) Menggunakan Jmeter

Nur Hidayat,

Rizaldy,

Hartono

et al. 2024

j.sist.inf.inform.

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“…The collaboration between OpenAI and AWS offers an innovative approach that can potentially improve cybersecurity at all levels, from early threat detection to protecting critical infrastructure [7,8]. The combination of AI's data-generating power and the AWS cloud's scalability promises to revolutionize how organizations address cyber challenges in an ever-changing digital environment.…”

Section: Introductionmentioning

confidence: 99%

Developing a Cybersecurity Training Environment through the Integration of OpenAI and AWS

Villegas-Ch,

Govea,

Ortiz-Garces

2024

Applied Sciences

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Cybersecurity is a critical concern in today’s digital age, where organizations face an ever-evolving cyber threat landscape. This study explores the potential of leveraging artificial intelligence and Amazon Web Services to improve cybersecurity practices. Combining the capabilities of OpenAI’s GPT-3 and DALL-E models with Amazon Web Services infrastructure aims to improve threat detection, generate high-quality synthetic training data, and optimize resource utilization. This work begins by demonstrating the ability of artificial intelligence to create synthetic cybersecurity data that simulates real-world threats. These data are essential for training threat detection systems and strengthening an organization’s resilience against cyberattacks. While our research shows the promising potential of artificial intelligence and Amazon Web Services in cybersecurity, it is essential to recognize the limitations. Continued research and refinement of AI models are needed to address increasingly sophisticated threats. Additionally, ethical and privacy considerations must be addressed when employing AI in cybersecurity practices. The results support the notion that this collaboration can revolutionize how organizations address cyber challenges, delivering greater efficiency, speed, and accuracy in threat detection and mitigation.

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“…There have been several studies that attempt to measure the quality provided by cloud computing services base, either based on analytical QoS parameters or comparisons between CSPs. For example, a study by Fandy et Al measured the network quality of a web server in AWS using the Apache Jmeter app, following the load balancing and HTTP packet request test [12]. The result of said study has shown that web servers that are built on top of the EC2 (Elastic Compute Cloud) service work comparatively better than other servers built using different AWS services.…”

Section: Introductionmentioning

confidence: 99%

COMPARATIVE STUDY OF CLOUD COMPUTING NETWORK SERVICES BASED ON QoS ANALYSIS USING TIPHON STANDARD

Aziza,

Jaya Adilman,

Djunaidi

et al. 2023

J. Tek. Inform. (JUTIF)

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Currently, data plays a very important role for companies or agencies. The amount of data owned, processed, and exchanged is getting bigger, so companies need more and more resources to manage it. Cloud computing technology is an efficient and economical alternative that allows users to utilize Information Technology (IT) resources flexibly, in terms of infrastructure and applications. Its key advantages include cost efficiency, scalability, data security, disaster recovery, and fast global access. The rapid development of cloud technology has led to many Cloud Service Providers (CSPs). The performances of the CSPs vary widely, thus it is necessary to understand the network performance characteristic from the CSPs so that users can select a more suitable service. Network capabilities in cloud computing technology are crucial, considering that all company activities are carried out through the network. In this study, the main focus was to test the network capabilities of the two biggest cloud services The results of the Quality of Service (QoS) comparison will provide recommendations or input for companies or agencies in choosing the cloud service provider that best fits their needs. Thus, it was obtained that this research can provide useful guidance in optimizing the use of cloud computing technology to support business activities and innovation in various fields, including the field of education. Based on the results of the research, the network performance of the two CPS is very good in terms of the TIPHON standard. Based on QoS analysis, especially in terms of throughput, CPS “A” shows better upload activity results, while CPS B has better results for downloading activities.

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Pengujian Kinerja Web Server Atas Penyedia Layanan Elastic Cloud Compute (EC2) Pada Amazon Web Services (AWS)

Cited by 4 publications

References 2 publications

Pengujian Kinerja Web Server Elastic Cloud Compute (Ec2) Free Tier Pada Amazon Web Service (Aws) Menggunakan Jmeter

Pengujian Kinerja Web Server Elastic Cloud Compute (Ec2) Free Tier Pada Amazon Web Service (Aws) Menggunakan Jmeter

Developing a Cybersecurity Training Environment through the Integration of OpenAI and AWS

COMPARATIVE STUDY OF CLOUD COMPUTING NETWORK SERVICES BASED ON QoS ANALYSIS USING TIPHON STANDARD

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