Performance Analysis of Java Group Toolkits: A Case Study

Baldoni, Roberto; Cimmino, Stefano; Marchetti, Carlo; Termini, Alessandro

doi:10.1007/3-540-36520-6_5

Cited by 10 publications

(8 citation statements)

References 7 publications

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“…Some work focused on performance evaluation [2], measuring latency and throughput of protocols in different situations, targeting the overhead of architectural decisions and of the Java platform. In this paper we show that such results may be somewhat Frequency q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q qq q q q q q qq q qq q q q q qq q qq q q q qq q q q q q q q qq q q q qq q q q q q q q q q q qq q q qq qq q q qq q q q qq q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q qq q q q q q 0e+00 2e+08 4e+08 6e+08 8e+08 1e+09 q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q qq q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q qq q q q q 0e+00 2e+08 4e+08 6e+08 8e+08 1e+09 q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q qq qq q q qq q q q qq q q q q q qq q q q q q q q qq q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q qq qq q q qq q q q qq q q q q q qq q q q q q q q qq q q TCP (Java) JGroups (UDP) JGroups (TCP) Figure 10: Distribution of bandwidth in time periods with garbage collector workload.…”

Section: Discussionmentioning

confidence: 99%

Evaluating Throughput Stability of Protocols for Distributed Middleware

Carvalho

Oliveira

Pereira

2009

On the Move to Meaningful Internet Systems: OTM 2009

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Communication of large data volumes is a core functionality of distributed systems middleware, namely, for interconnecting components, for distributed computation and for fault tolerance. This common functionality is however achieved in different middleware platforms with various combinations of operating system and application level protocols, both standardized and ad hoc, and including implementations on managed runtime environments such as Java. In this paper, in contrast with most previous work that focus on performance, we point out that architectural and implementation decisions have an impact in throughput stability when the system is heavily loaded, precisely when such stability is most important. In detail, we present an experimental evaluation of several communication protocol components under stress conditions and conclude on the relative merits of several architectural options.

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Section: Discussionmentioning

confidence: 99%

Evaluating Throughput Stability of Protocols for Distributed Middleware

Carvalho

Oliveira

Pereira

2009

On the Move to Meaningful Internet Systems: OTM 2009

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“…Appia was selected mainly because it is implemented in Java and has a library of protocols that permits to experiment the performance of FTRMI with different total ordering protocols. The interested user is referred to [1,20] for interesting comparisons among GCSs.…”

Section: Group Communication Systemmentioning

confidence: 99%

Ftrmi

Reis

Miranda

2012

Proceedings of the 27th Annual ACM Symposium on Applied Computing

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Traditional Remote Procedure Call systems (RPCs) have a single point of failure at the server side. To address this issue, a number of approaches extend RPC syntax and semantic to provide fault tolerance. However, these solutions are neither transparent for the application programmer nor for the client. This paper describes FTRMI, a middleware platform that enhances the Java Remote Method Invocation (JRMI) with strong replica consistency, increasing fault tolerance. FTRMI is completely transparent for the client and does not require recoding on the server side.

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“…First, the end-to-end transaction execution latency measured is larger than 50 ms, of which most surely only less than 10% can be attributed to the latency of group communication. In fact, the protocol used for experiments, is very well known for its extremely good performance [1]. If this is true, then queuing will happen in queue Q2 and not in queue Q1.…”

Section: Non-disjoint Conflict Classes and Optimistic Multicast(nodo)mentioning

confidence: 99%

AKARA: A Flexible Clustering Protocol for Demanding Transactional Workloads

Correia

Pereira

Oliveira

2008

On the Move to Meaningful Internet Systems: OTM 2008

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Shared-nothing clusters are a well known and cost-effective approach to database server scalability, in particular, with highly intensive read-only workloads typical of many 3-tier web-based applications. The common reliance on a centralized component and a simplistic propagation strategy employed by mainstream solutions however conduct to poor scalability with traditional on-line transaction processing (OLTP), where the update ratio is high. Such approaches also pose an additional obstacle to high availability while introducing a single point of failure. More recently, database replication protocols based on group communication have been shown to overcome such limitations, expanding the applicability of shared-nothing clusters to more demanding transactional workloads. These take simultaneous advantage of total order multicast and transactional semantics to improve on mainstream solutions. However, none has already been widely deployed in a general purpose database management system. In this paper, we argue that a major hurdle for their acceptance is that these proposals have disappointing performance with specific subsets of realworld workloads. Such limitations are deep-rooted and working around them requires in-depth understanding of protocols and changes to applications. We address this issue with a novel protocol that combines multiple transaction execution mechanisms and replication techniques and then show how it avoids the identified pitfalls. Experimental results are obtained with a workload based on the industry standard TPC-C benchmark.

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Performance Analysis of Java Group Toolkits: A Case Study

Cited by 10 publications

References 7 publications

Evaluating Throughput Stability of Protocols for Distributed Middleware

Evaluating Throughput Stability of Protocols for Distributed Middleware

Ftrmi

AKARA: A Flexible Clustering Protocol for Demanding Transactional Workloads

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