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Leveraging Virtual Machine (VM) technologies to host multiple Web applications on the same physical machine can improve the resource utilization and thus save a cloud provider's provisioning cost. By allocating and scheduling virtual CPU (vCPU) resources for running VMs, a hosted Web application may achieve varying performances. Thus, when facing an end user with a specific SLA (Service Level Agreement)...
Hadoop is now the de facto standard for storing and processing big data, not only for unstructured data but also for some structured data. As a result, providing SQL analysis functionality to the big data resided in HDFS becomes more and more important. Hive is a pioneer system that supports SQL-like analysis to the data in HDFS. However, the performance of the early-version of Hive is not satisfactory...
The CloudMdsQL polystore provides integrated access to multiple heterogeneous data stores, such as RDBMS, NoSQL or even HDFS through a big data analytics framework such as MapReduce or Spark. The CloudMdsQL language is a functional SQL-like query language with a flexible nested data model. A major capability is to exploit the full power of each of the underlying data stores by allowing native queries...
In this paper, we describe a framework that allows to automate and repeat business process execution on different cloud configurations. We present how and why the different components of the experimentation pipeline-like Ansible, Docker and Jenkins have been set up, and the kind of results we obtained on a large set of configurations from the AWS public cloud. It allows us to calculate actual prices...
Many clone detection tools have been proposed in the literature. However, our knowledge of their performance in real software systems is limited, particularly their recall. We previously introduced our BigCloneBench, a big clone benchmark of over 8 million clones within a large inter-project Java repository containing 25,000 open-source Java systems. In this paper we present BigCloneEval, a framework...
This paper is based on feed forward neural network (FFNN) optimization by particle swarm intelligence (PSI) used at the starting point of neural network for initial guess to weights and biases. Once the weights and biases are found, the same are used to train the neural network for prediction and classification benchmark problems. Further the trained neural network is the used to predict future sample...
The wide adoption of the cloud computing paradigm by many different domains has increased both the number and type of available offerings as a service, e.g. Database-as-a-service (DBaaS) or Platform-as-a-Service (PaaS), and with them the possibilities to deploy and operate an application partially or completely in the cloud. The need for providing design support to application developers in this environment...
The performance evaluation of biometric systems is being highly considered in order to increase the widespread use of this technology in our daily life. Nowadays, there are few public benchmarks available to researchers towards this goal. In order to contribute in solving this problem, we present in this paper a keystroke dynamics benchmark collected using a touch screen phone. An analysis of the...
Scalability is one of the many challenges in designing and operating SaaS-type applications, which demands dynamic generation, composition, deployment, and monitoring of applications. A fundamental problem that confronts such applications is the efficient approach to evaluate the performance of the applications and resource utilization before they actually deployed. In this paper, S-BM, a benchmark...
Research in computer science evolves very quickly. In order to prove the efficiency of a new algorithm, it is generally necessary to show some results on a large and significant benchmark used in the state of the art. This fact has for consequence the need of a large computation capability in a research laboratory. We address in this paper the performance evaluation of biometric systems through distributed...
This paper focuses on the On-Line Transaction Processing (OLTP) performance evaluation methods for high performance fault-tolerant (HPFT) computers. By analyzing transaction features of Bank intermediary business (BIB), we design the BIBmodel, the database model and the transaction/frame model of bank intermediary business, and develop the BIB benchmark (BIBbench) as the performance testing suite...
Cloud computing is a new computing style which provides IT infrastructure and software as dynamic, scalable, and pay-per-use services. One of its characteristics is that enterprise data are hosted by storage service providers in the cloud. Hence strong data security must be taken into account for planning migration of business applications into the cloud. In this paper we analyze privacy requirements...
Virtual systems and virtualization technology are taking the momentum nowadays in data centers and IT infrastructure models.Performance analysis of such systems is very invaluable for enterprises but yet is not a deterministic process. Single-workload benchmark is useful in quantifying the virtualization overhead within a single VM, but not useful in whole virtualized environment with multiple isolated...
Recently, the SPARQL query language for RDF has reached the W3C recommendation status. In response to this emerging standard, the database community is currently exploring efficient storage techniques for RDF data and evaluation strategies for SPARQL queries. A meaningful analysis and comparison of these approaches necessitates a comprehensive and universal benchmark platform. To this end, we have...
Online approaches to physical design tuning have received considerable attention in the recent literature, with a focus on the problem of online index selection. However, it is difficult to draw conclusions on the relative merits of the proposed techniques, as they have been evaluated in isolation using different methodologies. In this paper, we make two concrete contributions to address this issue...
MapReduce is Google's programming model for easy development of scalable parallel applications which process huge quantity of data on many clusters. Due to its conveniency and efficiency, MapReduce is used in various applications (e.g., Web search services and online analytical processing). However, there are only few good benchmarks to evaluate MapReduce implementations by realistic testsets. In...
More and more softwares based on web service technologies are developed. Before their releases on the Internet, it is necessary to evaluate these systems' performance, especially their response time under different workload pressures. However, existing performance testing benchmarks and tools for web service applications are difficult to adapt to various user-specific testing purposes. This paper...
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