System of Systems for Quality-of-Service Observation and Response in Cloud Computing Environments

Hershey, Paul; Rao, Shrisha; Silio, C.B.; Narayan, Akshay

doi:10.1109/jsyst.2013.2295961

Cited by 22 publications

(5 citation statements)

References 17 publications

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“…Salah satu faktor yang mempengaruhi QoS untuk layanan streaming adalah besarnya bandwidth yang dialokasi terhadap nilai throughput yang berjalan [13], [15], dan [16]. Berdasar [1], [4], dan [17] semakin besar throughput, maka nilai delay semakin kecil; dan besarnya throughput yang didapatkan berbanding linier terhadap besar bandwidth kanal-data yang diduduki.…”

Section: Hipotesisunclassified

“…Tingkatan suatu QoS secara konseptual berlaku pada empat jenis tipe-data dalam komunikasi-data, yakni: text, audio, image, dan video; seperti apabila throughput semakin besar maka nilai delay semakin kecil [6][12] [13]. Nilai sebuah bandwidth disesuaikan dengan alokasi bandwidth yang disediakan, dimana agar QoS terpenuhi nilai bandwidth harus lebih besar dibandingkan terhadap nilai throughput [14][15] [17].…”

Section: Dasar Teoriunclassified

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Analisis QoS Pada Layanan Streaming Untuk Konfigurasi Jaringan Wireless

Simamora¹

2022

JNKTI

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Abstrak - Kebutuhan masyarakat atas penggunaan layanan-data seiring dengan kemajuan teknologi informasi dan komunikasi, atau umum diistilahkan dengan telematika; cukup memicu dorongan perubahan dan perbaikan metode serta teknik komunikasi-data. Terlebih lagi keinginan yang lebih untuk menyajikan bentuk komunikasi dua-arah yang interaktif untuk tujuan kejelasan informasi yang dibutuhkan. Bisnis dan teknologi cukup erat saling membutuhkan seperti sebuah simbiosis mutulisme yang saling mengisi kekurangan untuk perbaikan lebih baik demi sebuah tujuan kelancaran aktivitas yang padat dan just-in-time. Persoalan atas kebutuhan penyajian informasi yang cepat dan akurat serta dapat dipercaya adalah faktor kunci utama terselenggaranya dukungan telematika dalam kegiatan bisnis dan organisasi. Dan saat ini layanan-streaming cukup mendorong minat end-user memanfaatkannya dalam kegiatan bisnis dan organisasi. Pada penelitian ini telah dilakukan serangkaian pengujian secara observasi dengan dukungan tools dan infrastruktur jaringan komunikasi data, yakni private dan public. Adapun parameter Quality of Service sebagai acuan pengukuran performansi pada kanal-data dari layanan-streaming, dimana diamati pada ukuran latency, delay, dan throughput. Skenario yang ditetapkan berupa pembagian alokasi bandwidth dari kanal-data yang dibangun. Hasilnya menunjukan adanya pengaruh signifikan antara konfigurasi jaringan, teknik alokasi bandwidth, dan ratio bandwidth terhadap throughput yang diperoleh.Kata kunci: latency, quality of services, manajemen bandwidth, layanan-streaming, kanal-data

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Section: Hipotesisunclassified

Section: Dasar Teoriunclassified

Analisis QoS Pada Layanan Streaming Untuk Konfigurasi Jaringan Wireless

Simamora¹

2022

JNKTI

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“…In order to make accurate resource allocation decisions, the scheme predicts the demand for streaming capacity. Authors in [28] propose a new scheme for QoS monitoring management for a system-of-systems (SoS) where any user from any location can share computing resources at any time. The proposed scheme enables QoS monitoring, management, and response for enterprise systems that deliver computing as a service through a cloud computing environment.…”

Section: System Model and Related Workmentioning

confidence: 99%

Adaptive Resource Allocation and Provisioning in Multi-Service Cloud Environments

Alsarhan

Itradat

Al‐Dubai

et al. 2018

IEEE Trans. Parallel Distrib. Syst.

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Abstract-In the current cloud business environment, the cloud provider (CP) can provide a means for offering the required quality of service (QoS) for multiple classes of clients. We consider the cloud market where various resources such as CPUs, memory, and storage in the form of Virtual Machine (VM) instances can be provisioned and then leased to clients with QoS guarantees. Unlike existing works, we propose a novel Service Level Agreement (SLA) framework for cloud computing, in which a price control parameter is used to meet QoS demands for all classes in the market. The framework uses reinforcement learning (RL) to derive a VM hiring policy that can adapt to changes in the system to guarantee the QoS for all client classes. These changes include: service cost, system capacity, and the demand for service. In exhibiting solutions, when the CP leases more VMs to a class of clients, the QoS is degraded for other classes due to an inadequate number of VMs. However, our approach integrates computing resources adaptation with service admission control based on the RL model. To the best of our knowledge, this study is the first attempt that facilitates this integration to enhance the CP's profit and avoid SLA violation. Numerical analysis stresses the ability of our approach to avoid SLA violation while maximizing the CP's profit under varying cloud environment conditions.

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“…Cloud computing can provide large-scale, multilevel, highly efficient, and convenient service to users based on their demand [1], [2]. The cloud service provider constructs infrastructure to support new modern services [3], [4] which can bring high returns to the service provider.…”

Section: Introductionmentioning

confidence: 99%

Openness and Security in Cloud Computing Services: Assessment Methods and Investment Strategies Analysis

et al. 2019

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Cloud computing companies need to achieve a balance between service openness and security control to promote the growth of the cloud service business. This paper is a theoretical discussion of the complete service openness condition and the complete security control condition based on Nash equilibrium from the perspective of investment, including investment in service and investment in security by the cloud computing company. The quantitative assessment methods of two conditions are designed based on the investments. A quantitative analysis of the impact of security investments on security control and service openness is presented. Based on this analysis, the optimal security investment for service openness and the minimum complete service openness investment standard are derived. Finally, the relationship between them is analyzed to help cloud computing providers decide the optimal strategy for coordinating investment in both service and security. INDEX TERMS Cloud computing service, service openness, security control, quantitative assessment method, optimal investment coordination.

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System of Systems for Quality-of-Service Observation and Response in Cloud Computing Environments

Cited by 22 publications

References 17 publications

Analisis QoS Pada Layanan Streaming Untuk Konfigurasi Jaringan Wireless

Analisis QoS Pada Layanan Streaming Untuk Konfigurasi Jaringan Wireless

Adaptive Resource Allocation and Provisioning in Multi-Service Cloud Environments

Openness and Security in Cloud Computing Services: Assessment Methods and Investment Strategies Analysis

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