2016 2nd International Conference on Cloud Computing Technologies and Applications (CloudTech)最新文献_第3页

Study of an adaptive approach for a Cloud system implementation 云系统实现的自适应方法研究

2016 2nd International Conference on Cloud Computing Technologies and Applications (CloudTech) Pub Date : 2016-05-01 DOI: 10.1109/CLOUDTECH.2016.7847704

Abdelghafour Harraz, Cherif A. A. Bissiriou

{"title":"Study of an adaptive approach for a Cloud system implementation","authors":"Abdelghafour Harraz, Cherif A. A. Bissiriou","doi":"10.1109/CLOUDTECH.2016.7847704","DOIUrl":"https://doi.org/10.1109/CLOUDTECH.2016.7847704","url":null,"abstract":"In the few recent years a new paradigm has emerged, with the onward steps that revolutionized the internet and the machines interconnected over it. This has lead the modern technological world to be considered as a virtual sphere interconnecting things using internet, being called the Cloud Computing where any object can communicate with any other object using a network such as the internet. The Cloud Computing makes it possible for end users to profit from the high speed and high performance of remote machines, and deploys a business where internet providers can implement distributed resources and services based on modern technologies to address the needs of the end users. In such paradigm, all components should work in a fashion to provide the best response time possible, one way of doing that is through load balancing algorithms. In this paper we propose a cloud load balancing algorithm that relates to the stochastic and random behavior of any networking system, we show as a result that we can achieve a game theoretic load balancing policy based on the samples of the load in time.","PeriodicalId":133495,"journal":{"name":"2016 2nd International Conference on Cloud Computing Technologies and Applications (CloudTech)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130738496","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}

引用次数: 2

A performed load balancing algorithm for public Cloud computing using ant colony optimization 一种基于蚁群优化的公共云计算负载均衡算法

2016 2nd International Conference on Cloud Computing Technologies and Applications (CloudTech) Pub Date : 2016-05-01 DOI: 10.1109/CLOUDTECH.2016.7847703

Awatif Ragmani, Amina El omri, N. Abghour, K. Moussaid, M. Rida

引用次数: 32

Performance evaluation of CEP engines for stream data processing 流数据处理CEP引擎的性能评价

2016 2nd International Conference on Cloud Computing Technologies and Applications (CloudTech) Pub Date : 2016-05-01 DOI: 10.1109/CLOUDTECH.2016.7847726

F. Lachhab, M. Bakhouya, R. Ouladsine, M. Essaaidi

引用次数: 6

Toward Cloud SaaS for web service composition optimization based on genetic algortihm 面向云SaaS的基于遗传算法的web服务组合优化

2016 2nd International Conference on Cloud Computing Technologies and Applications (CloudTech) Pub Date : 2016-05-01 DOI: 10.1109/CLOUDTECH.2016.7847692

Ali M. Bentaleb, Ahmed Ettalbi

引用次数: 7

SOMBA - automated anomaly detection for Cloud quality of service SOMBA——用于云服务质量的自动异常检测

2016 2nd International Conference on Cloud Computing Technologies and Applications (CloudTech) Pub Date : 2016-05-01 DOI: 10.1109/CLOUDTECH.2016.7847681

J. Pendlebury, Vincent C. Emeakaroha, David O'Shea, Neil Cafferkey, J. Morrison, Theo Lynn

{"title":"SOMBA - automated anomaly detection for Cloud quality of service","authors":"J. Pendlebury, Vincent C. Emeakaroha, David O'Shea, Neil Cafferkey, J. Morrison, Theo Lynn","doi":"10.1109/CLOUDTECH.2016.7847681","DOIUrl":"https://doi.org/10.1109/CLOUDTECH.2016.7847681","url":null,"abstract":"Cloud computing has transformed the standard model of service provisioning, allowing the delivery of on-demand services over the Internet. With its inherent requirements for elastic scalability and a pay-as-you-go pricing model, an additional level of complexity is added to its Quality of Service (QoS) management. This has made service provisioning more prone to performance anomalies due to the large-scale and evolving nature of Clouds. Existing methods for anomaly detection based on QoS monitoring in the Cloud rely on probabilistic methods, which are not computationally easy and are often valid for very short times before system dynamics change. We posit that more minimalistic approaches including automated techniques are needed for effective anomaly detection to support QoS enforcement in Clouds. In this paper, we present an automated anomaly detection scheme that recognises and adapts to changes in Clouds for efficient multi-metric performance anomaly detection to guarantee service quality. It includes a monitoring tool for collating performance data in real time for analysis and an anomaly detection technique based on an unsupervised machine learning strategy. Based on a Cloud service provisioning use case scenario, we evaluate our anomaly detection technique and compare it against two statistical anomaly detection approaches to demonstrate its efficiency.","PeriodicalId":133495,"journal":{"name":"2016 2nd International Conference on Cloud Computing Technologies and Applications (CloudTech)","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123391251","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}

引用次数: 1

Collision avoidance and service differentiation at the MAC layer of WSN designed for multi-purpose applications 面向多用途应用的无线传感器网络MAC层的避碰与业务区分

2016 2nd International Conference on Cloud Computing Technologies and Applications (CloudTech) Pub Date : 2016-05-01 DOI: 10.1109/CLOUDTECH.2016.7847710

Imane Dbibih, Imad Iala, D. Aboutajdine, O. Zytoune

{"title":"Collision avoidance and service differentiation at the MAC layer of WSN designed for multi-purpose applications","authors":"Imane Dbibih, Imad Iala, D. Aboutajdine, O. Zytoune","doi":"10.1109/CLOUDTECH.2016.7847710","DOIUrl":"https://doi.org/10.1109/CLOUDTECH.2016.7847710","url":null,"abstract":"Wireless Sensor Networks are increasingly used for multi-purpose applications. In these networks we need to differentiate services or resources in order to provide a good performances to the prioritized data. Since the MAC layer is the responsible of managing the access to the shared medium, we need to handle the QoS at this layer in order to give more chance to nodes having high priority to get access to the medium before others. The lack of energy resources was behind the idea of alternating the transceiver between two modes; sleep and active modes. Though, this scheme is very efficient in terms of energy consumption, it causes high latency that degrades the QoS of real-time messages. In this paper we present a new policy that handles the energy constraint and the QoS of WSN designed for multipurpose applications. Our protocol intends to control the medium access of nodes according to the priority of their messages and reduce collision by using different random contention windows. Our results prove that our algorithm enhances quality of service in terms of prioritized message latency, as well as in other performance criteria.","PeriodicalId":133495,"journal":{"name":"2016 2nd International Conference on Cloud Computing Technologies and Applications (CloudTech)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124270544","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}

引用次数: 5

Towards a smart selection of resources for low-energy multimedia processing 朝着低能耗多媒体处理资源的智能选择迈进

2016 2nd International Conference on Cloud Computing Technologies and Applications (CloudTech) Pub Date : 2016-05-01 DOI: 10.1109/CLOUDTECH.2016.7847705

S. Mahmoudi

{"title":"Towards a smart selection of resources for low-energy multimedia processing","authors":"S. Mahmoudi","doi":"10.1109/CLOUDTECH.2016.7847705","DOIUrl":"https://doi.org/10.1109/CLOUDTECH.2016.7847705","url":null,"abstract":"Today, one can find images and videos everywhere, they can come from cameras, mobile phones or from other devices. These images and videos are used to illustrate different objects in a large number of situations (airports, hospitals, public areas, sport events, etc.). This makes the task of processing images and videos a necessary tool that can be used for various domains related to computer vision. The performance of these algorithms have been so reduced due to their high intensive computation and energy consumption. In this work, we propose a new framework that allows users to select in a smart and efficient way the computing units (CPU or/and GPU) in case of processing single image, multiple images, multiple videos or single video in real time. This framework enables to affect the CPU or/and GPU units for calculation depending on the type of media to process and the algorithm complexity. The framework provides several image and video functions on GPU, such as silhouette extraction, points of interest extraction, edges detection, sparse and dense optical flow estimation. These functions are exploited in different applications such as vertebra segmentation in X-ray and MR images, gaze estimation, event detection and localization in real time. Experimental results have been obtained by applying the framework for different use case applications showing a speedup ranging from 5 to 116×, by comparison with sequential CPU implementations. In addition to these performance, the parallel and heterogeneous implementation offered lower power consumption as a result for the fast treatment.","PeriodicalId":133495,"journal":{"name":"2016 2nd International Conference on Cloud Computing Technologies and Applications (CloudTech)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122385557","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}

引用次数: 2

Cloud of things-based decision-making process using product's traceability 基于物联网的决策过程使用产品的可追溯性

2016 2nd International Conference on Cloud Computing Technologies and Applications (CloudTech) Pub Date : 2016-05-01 DOI: 10.1109/CLOUDTECH.2016.7847701

Abdesselam Bougdira, A. Ahaitouf, I. Akharraz

引用次数: 6

Secure data storage in the cloud with homomorphic encryption 使用同态加密保护云中的数据存储

2016 2nd International Conference on Cloud Computing Technologies and Applications (CloudTech) Pub Date : 2016-05-01 DOI: 10.1109/CLOUDTECH.2016.7847680

Yasmina Bensitel, R. Romadi

引用次数: 12

Public Opinion Knowledge (POK) platform based on apache hadoop: To get public opinion from French content published on the Web/CSM 基于apache hadoop的民意知识(POK)平台:从Web/CSM上发布的法语内容中获取民意

2016 2nd International Conference on Cloud Computing Technologies and Applications (CloudTech) Pub Date : 2016-05-01 DOI: 10.1109/CLOUDTECH.2016.7847689

Abdelkader Rhouati, E. Ettifouri, M. Belkasmi, T. Bouchentouf

引用次数: 1