Maycon Peixoto

A P2P Hierarchical Metascheduler to Obtain QoS in a Grid Economy Services

The convergence between Web services and Grid computing became possible the integration of distributed services, providing the use of sharing and coordinated resources on the network. In this environment, the purpose of a Metascheduler would improve the performance, availability and scalability of the resources. In this paper, we present a Metascheduler framework aiming QoS provision in Web services executed on a Grid environment. The Metascheduler will be responsible for jobs submission and for managing of resources on the Grid, and also to select the best available resources pool for implementation of the task sent by the user. To achieve this goal, the Metascheduler deals with the priorities that are generated according to the agreement time, addressing the Service Level Agreement (SLA) stipulated. The contracts in the SLA are adjusted dynamically. Thus, the Virtual Organization (VO) which provides more cycles of processing time will be one that holds the highest priority when making a service request.

An orthogonal real-time scheduling architecture for responsiveness QoS requirements in SOA environments

This paper introduces a novel design approach for real-time multi-resource scheduling aimed at ensuring upper-bounded average response time in interactive computer services. By analyzing the properties of conventional heuristics, this work presents a new algorithm which combines resource and queue disciplines in an orthogonal scheduling architecture which extends recent results on stochastic real-time operations with applications on SOA and pervasive computing environments. Simulation experiments shows how the attributes of the proposed technique can outperform those of conventionally employed alternatives.

Performance Evaluation of Virtual Machine Monitors for Cloud Computing

This paper presents a study about performance evaluation of virtualization technologies for cloud computing. Virtualization is the main technique in the cloud computing, although this approach demonstrates overhead in the host and some performance losses between the virtual machines. Aiming to verify the virtualization impacts, performance tests were realized between the virtual machine monitor and the host machine using the same workload. In addition, the number of virtual machines running concurrently, Xen and KVM, were analyzed to quantify the overhead of virtualization. Performance evaluation methodology was employed to planning the experiments. The results shows that virtualization shown overhead in relation to physical machine and the best responsive time was achieved by the KVM monitor.

Predictive Dynamic Algorithm: An Approach toward QoS-Aware Service for IoT-Cloud Environment

This paper presents an approach to provide quality of service for IoT-Cloud users through a dynamic virtual machine allocation algorithm on a Metascheduler. Although there are others reactive approach to handle with general cases of virtual machine allocation and placement, they may have not optimal performance for IoT workload, because it aggregates a new characteristic of large bursts of events, but with short service time. For this, in this paper, a predictive dynamic algorithm from our Metascheduler is outlined which can provide QoS. Our approach combines several informations to build a operating virtual machines to perform the services from IoT gateways devices deployed in the field, that conform to the constraints imposed by QoS with regards to costs and deadlines. As a part of the results obtained from the planning design, our experiments on evaluation performance show the value of this algorithm in meeting the requirements time e cost to the IoT-users, while also saving money and computer resources.

Dynamic Web Service Composition Middleware: A New Approach for QoS Guarantees

This project presents modeling, prototyping and results of the middleware developed for Web service dynamic selection in Web services composition named DWSC-M (Dynamic Web Service Composition Middleware). DWSC-M’s main focus is to choose what Web services will be part of the composite Web services in runtime. The choose is made considering aspects of QoS - Quality of Service. To evalute this approach two algorithms for Web Services selection has been proposed and implemented: the first one uses Random Selection (RS) and the second one uses Euclidean Distance (ED) for the selection of services and considers for this purpose the QoS atributes requested by a client.

A low cost workload generation approach through the cloud for capacity planning in service-oriented systems

This paper presents a cloud approach for low cost capacity planning evaluations. To perform these evaluations we have to specify and measure the workload on the target system to discover issues and make the necessary adjustments. However, due to high costs, these evaluations are usually done using simulations, which does not consider stochastic effects. We propose to use a tool named PEESOS, a generic and flexible approach to apply real workloads and measure used resources on these real systems. As a proof of concept, our case study use a real ticket sales service to evaluate the influence of scalability in the resource provisioning to show how PEESOS can lower the cost of such real evaluations. The results show the efficiency and savings that we can obtain using PEESOS for large-scale capacity planning evaluations before the real services are deployed. This approach can avoid several problems that real services faces when they launch.

A Performance Evaluation of an Automatic Web Services Composition System

The automatic composition of Web Services has been explored in the literature from different standpoints. It aims to create an execution plan for the flow of Web Services based on requests made and sent by the client, by following the stages necessary for the generation of composite services and then carrying out the execution of the workflow that has been designed. However, no research studies have been found that undertake the whole process of an automatic composition and execution, from the users request to the execution of the services chosen as a solution. Therefore, the goal of this paper is to evaluate the performance of an automatic Web Service composition, since the request made by the client, to the delivery of the results of the executed composition. This article examines the integration between two tools, the automatic web service composition system and the extensible platform to evaluate semantic web services with the aim of conducting a performance evaluation of an entire process of automatic composition of Web services.

Gap Filling of Missing Streaming Data in a Network of Intelligent Surveillance Cameras

The growth of video surveillance devices increases the rate of streaming data. However, even working in the Fog Computing environment, these smart devices may fail collecting information, producing missing or invalid data. This issue can affect the user quality of experience, because the PTZ-controller may lose the target object tracking. Therefore, this paper presents the Singular Spectrum Analysis - (SSA), as the method to replace missing values in this complex environment of intelligent surveillance cameras. SSA is characterized within time series field by performing a non-parametric spectral estimation with spatial-temporal correlations. The values not correctly monitored, were estimated by SSA with accuracy, allowing the tracking of a suspect object.

CM Cloud Simulator: A Cost Model Simulator Module for Cloudsim

The vast cloud computing environment holds out good prospects for researchers in the computing technology field. However, with several Cloud providers offering different pricing models, the evaluation and modeling of Cloud environments and applications are getting harder because there is a lack of tools for this task. We propose the CM Cloud Simulator to fill this gap since it provides a comprehensive and dynamic simulation of applications with various deployment configurations and incurs the cost it would require when implemented in a Cloud Provider, according to the cost model of any service provider. The CM Cloud Simulator also provides custom-built cost models through the XML file.