scholarly journals Feasibility of container orchestration for adaptive performance isolation in multi-tenant SaaS applications

Author(s):  
Eddy Truyen ◽  
André Jacobs ◽  
Stef Verreydt ◽  
Emad Heydari Beni ◽  
Bert Lagaisse ◽  
...  
Author(s):  
Stefan Walraven ◽  
Wouter De Borger ◽  
Bart Vanbrabant ◽  
Bert Lagaisse ◽  
Dimitri Van Landuyt ◽  
...  

2007 ◽  
Author(s):  
Meredith L. Cracraft ◽  
Gonzalo Ferro ◽  
David W. Dorsey ◽  
Johnathan Nelson

2017 ◽  
Vol 35 (1) ◽  
pp. 111-129 ◽  
Author(s):  
Melanie Kloetzel

In recent years, arts festivals around the globe have become enamoured of touring, site-based performance. Such serialised site work is growing in popularity due to its accessibility, its spectacular characteristics, and its adaptive qualities. Employing practice-as-research methodologies to dissect the basis of such site-adaptive performances, the author highlights her discovery of the crumbling foundation of the adaptation discourse by way of her creative process for the performance work Room. Combining findings from the phenomenological explorations of her dancing body as well as from cultural analyses of the climate change debate by Dipesh Chakrabarty (2009), Claire Colebrook (2011, 2012), and Bruno Latour (2014), the author argues that only by fundamentally shifting the direction of the adaptation discourse – on scales from global to the personal – will we be able to build a site-adaptive performance strategy that resists the neoliberal drive towards ecological and economic precarity.


2010 ◽  
Vol 30 (6) ◽  
pp. 1642-1644
Author(s):  
Jing YOU ◽  
Kang-ning XU ◽  
Hong-yuan WANG ◽  
Ya-nan YANG ◽  
Jin-shu GAO

2021 ◽  
Vol 11 (9) ◽  
pp. 3870
Author(s):  
Jeongsu Kim ◽  
Kyungwoon Lee ◽  
Gyeongsik Yang ◽  
Kwanhoon Lee ◽  
Jaemin Im ◽  
...  

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.


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