{"title":"Using Rules for Web Service Client Side Testing","authors":"Nabil El Ioini, A. Sillitti, G. Succi","doi":"10.1109/SERVICES.2013.63","DOIUrl":"https://doi.org/10.1109/SERVICES.2013.63","url":null,"abstract":"Web Services (WS) are software components accessible over the Internet through a well-defined set of standards. When consumers invoke a service, they expect to receive a valid response. However, the problem is to determine the structure of a valid request [21]. WS specifications are used to solve this problem since they are considered the primary piece of information for building service requests. Unfortunately, existing specifications do not provide enough support for this type information (e.g., WSDL) or there is little support on the client side (e.g., OWL-S). In this paper we address this issue by implementing a technique to reduce the number of faulty requests. We specifically propose an approach for extending WSDL with service input parameters rules that help consumers and integrators to verify their calls on the client side.","PeriodicalId":169370,"journal":{"name":"2013 IEEE Ninth World Congress on Services","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123384099","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Unitizing Performance of IaaS Cloud Deployments","authors":"P. Berndt, Johannes Watzl","doi":"10.1109/SERVICES.2013.25","DOIUrl":"https://doi.org/10.1109/SERVICES.2013.25","url":null,"abstract":"In order to establish a broader market for cloud computing, offers must be made comparable. Several efforts exist to compare performance of products from different providers and convey an idea of what to expect by means of (periodical) reports. Yet, buying IaaS cloud compute resources remains a blind bargain. The actual performance of a customer's deployment may, for various reasons, be substantially different from such third-party reports. Particularly, a cloud user cannot rely on receiving the same performance, be it because of higher load or arbitrary cloud reconfiguration. To render service levels of different cloud products meaningful and comparable within and across providers, these will have to commit themselves to providing performance according to some reference measure that also regards virtualization, resource allocation and isolation. Though the actual benchmarks will likely differ across application and market niches, the methodology to define, measure and guarantee performance remains the same. In this paper we propose a method for quantifying, determining and ensuring performance on the basis of a performance unit that conveys what performance can be expected from a VM deployment and is suitable for use in SLAs. The abstract approach is exemplified and validated by a case study with concrete benchmarks on a KVM-based cloud.","PeriodicalId":169370,"journal":{"name":"2013 IEEE Ninth World Congress on Services","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129249944","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Is Your Cloud-Hosted Database Truly Elastic?","authors":"S. Sakr, Anna Liu","doi":"10.1109/SERVICES.2013.69","DOIUrl":"https://doi.org/10.1109/SERVICES.2013.69","url":null,"abstract":"Elasticity has been recognized as one of the most appealing features for users of cloud services. It represents the ability to dynamically and rapidly scale up or down the allocated computing resources on demand. In practice, it is difficult to understand the elasticity requirements of a given application and workload, and to assess if the elasticity provided by a cloud service will meet these requirements. In this experience paper, we take the position that a deep understanding of the capabilities of cloud-hosted database services is a crucial requirement for cloud users in order to bring forward the vision of deploying data-intensive applications on cloud platforms. We argue that it is important that cloud users become able to paint a comprehensive picture of the relationship between the capabilities of the different type of cloud database services, the application characteristics and workloads, and the geographical distribution of the application clients and the underlying database replicas. We discuss the current elasticity capabilities of the different categories of cloud database services and identify some of the main challenges for deploying a truly elastic database tier on cloud environments. Finally, we propose a benchmarking mechanism that can evaluate the elasticity capabilities of cloud database services in different application scenarios and workloads.","PeriodicalId":169370,"journal":{"name":"2013 IEEE Ninth World Congress on Services","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127443413","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
George Chatzikonstantinou, Michael Athanasopoulos, K. Kontogiannis
{"title":"Towards a Goal Driven Task Personalization Specification Framework","authors":"George Chatzikonstantinou, Michael Athanasopoulos, K. Kontogiannis","doi":"10.1109/SERVICES.2013.75","DOIUrl":"https://doi.org/10.1109/SERVICES.2013.75","url":null,"abstract":"Since its inception, Service Orientation allowed for distributed clients to invoke remote operations utilizing standardized protocols, programming paradigms and architectures. Furthermore, the problem of compiling complex service compositions, based on contextual information and user preferences, has been also extensively investigated by the research community. However, these techniques are mostly used within a single, or within coupled service domains that utilize predefined orchestration and composition service flows. In this paper, we propose an approach whereby service providers can specify complex service tasks as collections of goal model templates that can be instantiated and customized by the invoking clients. A reasoning process evaluates whether instantiated goals can be fulfilled based on the clients selections and consequently generates service flows that are compliant to the goal model and to the clients preferences. The major difference from existing context aware service computing frameworks is the introduction of a reasoning process that allows for the evaluation of various and possibly synergetic client goals and the on-time initiation and enactment of goal compliant service compositions. A proof of concept prototype has been implemented utilizing SOA technologies for service invocation and flow control.","PeriodicalId":169370,"journal":{"name":"2013 IEEE Ninth World Congress on Services","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116019798","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Research of Intrusion Detection System on Android","authors":"Fangfang Yuan, Lidong Zhai, Yanan Cao, Li Guo","doi":"10.1109/SERVICES.2013.77","DOIUrl":"https://doi.org/10.1109/SERVICES.2013.77","url":null,"abstract":"In this paper, we proposed an intrusion detection system for detecting anomaly on Android smartphones. The intrusion detection system continuously monitors and collects the information of smartphone under normal conditions and attack state. It extracts various features obtained from the Android system, such as the network traffic of smartphones, battery consumption, CPU usage, the amount of running processes and so on. Then, it applies Bayes Classifying Algorithm to determine whether there is an invasion. In order to further analyze the Android system abnormalities and locate malicious software, along with system state monitoring the intrusion detection system monitors the process and network flow of the smartphone. Finally, experiments on the system which was designed in this paper have been carried out. Empirical results suggest that the proposed intrusion detection system is effective in detecting anomaly on Android smartphones.","PeriodicalId":169370,"journal":{"name":"2013 IEEE Ninth World Congress on Services","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129408317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Cloud Based Architecture for Enabling Intuitive Decision Making","authors":"Brian Xu, S. Kumar, Manonmani Kumar","doi":"10.1109/SERVICES.2013.11","DOIUrl":"https://doi.org/10.1109/SERVICES.2013.11","url":null,"abstract":"To address the current need of innovative technologies that blend rapid data processing capabilities of computers with intuitive decision making skills of humans, we have developed a prototype of Cloud Enabled Brain Computer Interface (CEB) decision making technologies. The implemented architecture integrates cloud enabled big data analytics capabilities, networked BCI (Brain Computer Interface) devices, and Decision Making Engine. The novel CEB technology comprises of 1. Cloud-enabled BCI (Brain-Computer Interface) headsets, which is developed and networked in a cloud to enable rapid decision making and 2. Genetic algorithm based decision making engine, to intelligently assist the users in decision making; Advantage of our architecture is that when CEB loads the data, it will automatically recommend the best applicable Machine Learning (ML) algorithms after being evaluated to solve a given problem. Hence, with such automated machine learning techniques, CEB users workload is significantly reduced. Our experiments on DARPA dataset indicate that CEB technologies performed 10 times faster and about 4 times less false negative rate than current computational methods in seeking and understanding information. Our results demonstrate that these CEB technologies would enable humans to accurately and quickly detect meaningful information from a mass amount of data. The novel CEB technologies ensure that the reduced manpower does not result in reduced performance.","PeriodicalId":169370,"journal":{"name":"2013 IEEE Ninth World Congress on Services","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133559272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Auditing and Analysis of Network Traffic in Cloud Environment","authors":"S. Shetty","doi":"10.1109/SERVICES.2013.42","DOIUrl":"https://doi.org/10.1109/SERVICES.2013.42","url":null,"abstract":"Cloud computing allows users to remotely store their data into the cloud and provides on-demand applications and services from a shared pool of configurable computing resources. The security of the outsourced data in the cloud is dependent on the security of the cloud computing system and network. Though, there have been numerous efforts on securing data on the cloud computing system, evaluation of data security on the network between cloud provider and its users is still a very challenging task. The audit of the cloud computing system and network will provide insights on the security and performance of VMs and the operating system on multiple data centers and the intra-cloud network managed by cloud providers and the wide-area network between the cloud user and cloud provider. Thus, network traffic analysis for cloud auditing is of critical importance so that users can resort to an external audit party to verify the data security on the network between cloud provider and its users. This paper presents the following key technologies required to analyze network traffic in the cloud computing environment: IP geolocation of network devices between cloud provider and its users, monitoring the data security of the cloud network path, and online mining of massive cloud auditing logs generated by cloud network traffic.","PeriodicalId":169370,"journal":{"name":"2013 IEEE Ninth World Congress on Services","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129161902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Hierarchical Cloud Pricing System","authors":"Zhijie Li, Ming Li","doi":"10.1109/SERVICES.2013.78","DOIUrl":"https://doi.org/10.1109/SERVICES.2013.78","url":null,"abstract":"Cloud computing is experiencing phenomenal growth and there are now many vendors offering their cloud services. In cloud computing, cloud providers cooperate together to offer their computing resource as a utility and software as a service to customers. The demands and the price of cloud service should be negotiated between providers and users based on the Service Level Agreement (SLA). In order to help cloud providers achieving an agreeable price for their services and maximizing the benefits of both cloud providers and clients, this paper proposes a cloud pricing system consisting of hierarchical system, M/M/c queuing model and pricing model. Simulation results verify the efficiency of our proposed system.","PeriodicalId":169370,"journal":{"name":"2013 IEEE Ninth World Congress on Services","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133057044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jianhua Zheng, Liang-Jie Zhang, Rong Zhu, Ke Ning, Dong Liu
{"title":"Parallel Matrix Multiplication Algorithm Based on Vector Linear Combination Using MapReduce","authors":"Jianhua Zheng, Liang-Jie Zhang, Rong Zhu, Ke Ning, Dong Liu","doi":"10.1109/SERVICES.2013.67","DOIUrl":"https://doi.org/10.1109/SERVICES.2013.67","url":null,"abstract":"Matrix multiplication is used in a variety of applications. It requires a lot of computation time especially for large-scale matrices. Parallel processing is a good choice for matrix multiplication operation. To overcome the efficiencies of existing algorithms for parallel matrix multiplication, a matrix multiplication processing scheme based on vector linear combination (VLC) was presented. The VLC scheme splits the matrix multiplication procedure into two steps. The first step obtains the weighted vectors by scalar multiplication. The second step gets the final result through a linear combination of the weighted vectors with identical row numbers. We present parallel matrix multiplication implementations using MapReduce (MR) based on VLC scheme and explain in detail the MR job. The map method receives the matrix input and generates intermediate (key, value) pairs according to the VLC scheme requirement. The reduce method conducts the scalar multiplication and vectors summation. In the end, the reduce method outputs the result in the way of row vector. Then performance theoretical analysis and experiment result comparing with other algorithms are proposed. Algorithm presented in this paper needs less computation time than other algorithms. Finally, we conclude the paper and propose future works.","PeriodicalId":169370,"journal":{"name":"2013 IEEE Ninth World Congress on Services","volume":"253 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115007798","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sean S. E. Thorpe, Tyrone Grandison, Arnett Campbell, Janet Williams, K. Burrell, I. Ray
{"title":"Towards a Forensic-Based Service Oriented Architecture Framework for Auditing of Cloud Logs","authors":"Sean S. E. Thorpe, Tyrone Grandison, Arnett Campbell, Janet Williams, K. Burrell, I. Ray","doi":"10.1109/SERVICES.2013.76","DOIUrl":"https://doi.org/10.1109/SERVICES.2013.76","url":null,"abstract":"Cloud computing log digital investigations relate to the investigation of a potential crime using the digital forensic evidence from a virtual machine (VM) host operating system using the hypervisor event logs. In cloud digital log forensics, work on the forensic reconstruction of evidence on VM hosts system is required, but with the heterogeneous complexity involved with an enterprise's private cloud not to mention public cloud distributed environments, a possible Web Services-centric approach may be required for such log supported investigations. A data cloud log forensics service oriented architecture (SOA) audit framework for this type of forensic examination needs to allow for the reconstruction of transactions spanning multiple VM hosts, platforms and applications. This paper explores the requirements of a cloud log forensics SOA framework for performing effective digital investigation examinations in these abstract web services environments. This framework will be necessary in order to develop investigative and forensic auditing tools and techniques for use in cloud based log-centric SOAs.","PeriodicalId":169370,"journal":{"name":"2013 IEEE Ninth World Congress on Services","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117067069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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