CloudSimSDN: Modeling and Simulation of Software-Defined Cloud Data Centers

2015 ◽  
Author(s):  
Jungmin Son ◽  
Amir Vahid Dastjerdi ◽  
Rodrigo N. Calheiros ◽  
Xiaohui Ji ◽  
Young Yoon ◽  
...  
Keyword(s):  
Modeling And Simulation ◽  
Data Centers ◽  
Cloud Data ◽  
Cloud Data Centers

GPUCloudSim: an extension of CloudSim for modeling and simulation of GPUs in cloud data centers

2018 ◽  
Vol 75 (5) ◽  
pp. 2535-2561 ◽  
Author(s):  
Ahmad Siavashi ◽  
Mahmoud Momtazpour
Keyword(s):  
Modeling And Simulation ◽  
Data Centers ◽  
Cloud Data ◽  
Cloud Data Centers

scholarly journals ContainerCloudSim: An environment for modeling and simulation of containers in cloud data centers

2016 ◽  
Vol 47 (4) ◽  
pp. 505-521 ◽  
Author(s):  
Sareh Fotuhi Piraghaj ◽  
Amir Vahid Dastjerdi ◽  
Rodrigo N. Calheiros ◽  
Rajkumar Buyya
Keyword(s):  
Modeling And Simulation ◽  
Data Centers ◽  
Cloud Data ◽  
Cloud Data Centers

Modeling and Simulation of QoS-Aware Power Budgeting in Cloud Data Centers

2020 ◽  
Author(s):  
Jakub Krzywda ◽  
Vinicius Meyer ◽  
Miguel G. Xavier ◽  
Ahmed Ali-Eldin ◽  
Per-Olov Ostberg ◽  
...  
Keyword(s):  
Modeling And Simulation ◽  
Data Centers ◽  
Cloud Data ◽  
Cloud Data Centers

An Energy-Efficient Consolidation of Virtual Machines in Cloud Data Centers

2017 ◽  
Vol 26 (1) ◽  
pp. 113-128
Author(s):  
Gamal Eldin I. Selim ◽  
Mohamed A. El-Rashidy ◽  
Nawal A. El-Fishawy
Keyword(s):  
Energy Efficient ◽  
Data Centers ◽  
Virtual Machines ◽  
Cloud Data ◽  
Cloud Data Centers

Role of Solar Energy for Cloud Data Centers

2016 ◽  
Vol 86 (3-4) ◽  
pp. 78
Author(s):  
Sambhunath Nan
Keyword(s):  
Solar Energy ◽  
Data Centers ◽  
Cloud Data ◽  
Cloud Data Centers

scholarly journals QiOi: Performance Isolation for Hyperledger Fabric

2021 ◽  
Vol 11 (9) ◽  
pp. 3870
Author(s):  
Jeongsu Kim ◽  
Kyungwoon Lee ◽  
Gyeongsik Yang ◽  
Kwanhoon Lee ◽  
Jaemin Im ◽  
...  
Keyword(s):  
Data Centers ◽  
Component Level ◽  
Isolation Technique ◽  
Cloud Data ◽  
Cpu Scheduling ◽  
Performance Isolation ◽  
Cloud Data Centers ◽  
A New Technique ◽  
The Impact ◽  
Level Performance

This paper investigates the performance interference of blockchain services that run on cloud data centers. As the data centers offer shared computing resources to multiple services, the blockchain services can experience performance interference due to the co-located services. We explore the impact of the interference on Fabric performance and develop a new technique to offer performance isolation for Hyperledger Fabric, the most popular blockchain platform. First, we analyze the characteristics of the different components in Hyperledger Fabric and show that Fabric components have different impacts on the performance of Fabric. Then, we present QiOi, component-level performance isolation technique for Hyperledger Fabric. The key idea of QiOi is to dynamically control the CPU scheduling of Fabric components to cope with the performance interference. We implement QiOi as a user-level daemon and evaluate how QiOi mitigates the performance interference of Fabric. The evaluation results demonstrate that QiOi mitigates performance degradation of Fabric by 22% and improves Fabric latency by 2.5 times without sacrificing the performance of co-located services. In addition, we show that QiOi can support different ordering services and chaincodes with negligible overhead to Fabric performance.

Multicriteria Optimization of Virtual Machine Placement in Cloud Data Centers

2021 ◽  
Author(s):  
Andrew Toutov ◽  
Natalia Toutova ◽  
Anatoly Vorozhtsov ◽  
Ilya Andreev
Keyword(s):  
Virtual Machine ◽  
Multicriteria Optimization ◽  
Data Centers ◽  
Virtual Machine Placement ◽  
Cloud Data ◽  
Cloud Data Centers
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