An evaluation of the middleware’s impact on the performance of object oriented distributed systems

Tselikis, C.; Mitropoulos, Sarandis; Douligeris, Christos

doi:10.1016/j.jss.2006.09.038

Cited by 5 publications

(4 citation statements)

References 11 publications

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“…This role can be specialized in other roles (Performance Architect, Performance Tester, and Performance Analyst). Some papers make reference directly or indirectly to this role [Subraya 2006 [Tselikis et al 2007] [Pfau et al 2017]. We merged these terms in Performance Tester, once we believe to be more suitable for this context.…”

Section: Resultsmentioning

confidence: 99%

Systematic Literature Review on Web Performance Testing

Legramante¹,

Bernardino²,

Rodrigues³

et al. 2020

Anais Da IV Escola Regional De Engenharia De Software (ERES 2020)

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Performance Testing is essential to ensure the quality and scalability of Web applications. A well-defined process may guide Performance Testing Engineer in conducting this task. We intended to enlighten some major inputs related to web performance testing. For this, we have formulated and executed a given protocol, according to the Systematic Literature Review (SLR) protocol in Software Engineering. So, 37 papers were selected/analyzed and we have extracted their most relevant contribution in order to answer our research questions. This analysis enabled us discovering preeminent performance testing profiles/roles, approaches, artifacts, methods, stages or phases and activity flows that have been reported in the literature. We believe that, despite those several studies that mapping performance test context, there are a few remarks in which a clarification might be needed, once there is no well-established process that comprises the whole activities mapped as well as established a relation with other studies. Therefore, this study intends to provide relevant input that one may establish a novel web performance testing process.

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Section: Resultsmentioning

confidence: 99%

Systematic Literature Review on Web Performance Testing

Legramante¹,

Bernardino²,

Rodrigues³

et al. 2020

Anais Da IV Escola Regional De Engenharia De Software (ERES 2020)

View full text Add to dashboard Cite

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“…Tselikis et al [5] conduct performance analysis of a client-server e-banking application. They include three different enterprise middleware platforms each based on Java, HTTP, and Web Services technologies.…”

Section: Related Workmentioning

confidence: 99%

Evaluating Transport Protocols for Real-Time Event Stream Processing Middleware and Applications

Hoffert

Schmidt

Gokhale

2009

On the Move to Meaningful Internet Systems: OTM 2009

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Abstract. Real-time event stream processing (RT-ESP) applications must synchronize continuous data streams despite fluctuations in resource availability. Satisfying these needs of RT-ESP applications requires predictable QoS from the underlying publish/subscribe (pub/sub) middleware. If a transport protocol is not capable of meeting the QoS requirements within a dynamic environment, the middleware must be flexible enough to tune the existing transport protocol or switch to a transport protocol better suited to the changing operating conditions. Realizing such adaptive RT-ESP pub/sub middleware requires a thorough understanding of how different transport protocols behave under different operating conditions. This paper makes three contributions to work on achieving that understanding. First, we define ReLate2, which is an evaluation metric that combines packet latency and reliability to evaluate transport protocol performance. Second, we use the ReLate2 metric to quantify the performance of various transport protocols integrated with the OMG's Data Distribution Service (DDS) QoS-enabled pub/sub middleware standard using our FLEXible Middleware And Transports (FLEX-MAT) prototype for experiments that capture performance data. Third, we use ReLate2 to pinpoint configurations involving sending rate, network loss, and number of receivers that show the pros and cons of the protocols.

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“…In the end, this hidden complexity has been the cause of many performance problems (Altendorf et al, 2002;Cecchet, Marguerite, & Zwaenepoel, 2002;Noel, 2005). This motivated research and development of a myriad of approaches for easing the task of diagnosing and solving performance problems (Dinker & Schwetman, 2006;Dudney, Asbury, Krozak, & Wittkopf, 2003;Haines, 2006;Kounev & Buchmann, 2002;Rossi & Turrini, 2005;Shuf & Steiner, 2007;Stylianou, Ferrari, & Ezhilchelvan, 2007;Tselikis, Mitropoulos, & Douligeris, 2007;Zadrozny, Aston, & Osborne, 2003) in enterprise distributed systems. One line of efforts proposes to predict the performance of a system by modeling its components and interactions under different synthetic load scenarios (Chen, Gorton, Liu, & Liu, 2005;Kounev, 2006;Liu, Fekete, & Gordon, 2005).…”

Section: Introductionmentioning

confidence: 99%