2016 IEEE 25th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)最新文献

CPS 2016 Track Report: Capacity-Driven Processes and Services for Cyber Physical Society CPS 2016跟踪报告:网络物理社会的能力驱动流程和服务

2016 IEEE 25th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE) Pub Date : 2016-08-11 DOI: 10.1109/WETICE.2016.40

Zhangbing Zhou

引用次数: 0

Towards an Autonomic Outsourcing to the Cloud Decision 走向自主外包到云决策

2016 IEEE 25th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE) Pub Date : 2016-08-11 DOI: 10.1109/WETICE.2016.15

M. Rekik, Khouloud Boukadi, H. Ben-Abdallah

{"title":"Towards an Autonomic Outsourcing to the Cloud Decision","authors":"M. Rekik, Khouloud Boukadi, H. Ben-Abdallah","doi":"10.1109/WETICE.2016.15","DOIUrl":"https://doi.org/10.1109/WETICE.2016.15","url":null,"abstract":"When enterprises decide to outsource their business processes to the Cloud, various considerations should be tackled. Indeed, the enterprises aim to reduce the business processes investment cost, to enhance their performance, and to focus on the enterprise core competency while considering security constraints. Hence, it is essential to assist enterprises to take the suitable decision by providing an appropriate decision system that specifies the activities to be outsourced as well as the Cloud resource to support them while considering the above enterprise preferences. Obviously, the outsourcing decision, when taken in a specific business process context, may be influenced by some variants that make it not suitable in another one. For instance, the business process workloads vary according to its execution period and thus the decision may require to change the Cloud resources as well as the outsourced activities to fit the new context requirements. This consideration should be taken when tackling an outsourcing decision to alleviate enterprise experts from the burden of assessing by themselves the changing business processes context and react by consequence to this change. In this paper, we present an adaptive outsourcing decision system, which provides personalized and autonomic decision-making to support the dynamic business process context when outsourced to the Cloud. The system predicts the business process context and provides accordingly appropriate decisions using the penalty based genetic algorithm.","PeriodicalId":319817,"journal":{"name":"2016 IEEE 25th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134468229","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

An Attack Pattern Framework for Monitoring Enterprise Information Systems 监控企业信息系统的攻击模式框架

2016 IEEE 25th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE) Pub Date : 2016-06-13 DOI: 10.1109/WETICE.2016.46

Mohammad Ashiqur Rahaman, Cédric Hébert, Jurgen Frank

{"title":"An Attack Pattern Framework for Monitoring Enterprise Information Systems","authors":"Mohammad Ashiqur Rahaman, Cédric Hébert, Jurgen Frank","doi":"10.1109/WETICE.2016.46","DOIUrl":"https://doi.org/10.1109/WETICE.2016.46","url":null,"abstract":"Intrusion detection systems (IDS) look for digital patterns mainly over the network or host traffic. Increasing complexity of todays enterprise information systems (EIS) obliges enterprises to deploy multiple but yet isolated IDSs in their IT boundaries, namely in, network (NIDS), host (HIDS), DMZs and application (appIDS). Modern exploits being able to disguise may appear innocent from an individual IDS perspective, however, its maliciousness could be detected from an end to end application perspective. One of the core problems in this regard is the inability of detecting such end to end targeted attacks whose functional scopes may stretch across IT boundaries. In this paper, we first argue that complex end to end intrusions can be detected in real time by analyzing application level logs originating from various IT boundaries (network, proxy, web server, OS, application etc.). We propose an attack pattern framework for EIS that enables an appIDS, such as SAP Enterprise Threat Detection (ETD) [1], to perform log analysis simultaneously from multiple sources. The framework includes a reference architecture and its prototypical implementation can be the core engine of an appIDS. It also provides an attack pattern specification language and associated methodology for managing attack pattern lifecycle and appropriate alert mitigation response.","PeriodicalId":319817,"journal":{"name":"2016 IEEE 25th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125802235","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: 6

Physics Engine Threading Design and Object-Scalability in Virtual Simulation 虚拟仿真中的物理引擎线程设计与对象可扩展性

2016 IEEE 25th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE) Pub Date : 2016-06-13 DOI: 10.1109/WETICE.2016.37

Sean C. Mondesire, Douglas B. Maxwell, Jonathan Stevens

引用次数: 0

Evaluation of Traffic-Aware VM Placement Policies in Distributed Cloud Using CloudSim 基于CloudSim的分布式云流量感知虚拟机放置策略评估

2016 IEEE 25th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE) Pub Date : 2016-06-13 DOI: 10.1109/WETICE.2016.29

Raja Benali, Hana Teyeb, Ali Balma, S. Tata, N. Hadj-Alouane

引用次数: 6

ASSDN: A Framework for Adaptive Strategies for Software-Defined Networking ASSDN:软件定义网络自适应策略框架

2016 IEEE 25th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE) Pub Date : 2016-06-13 DOI: 10.1109/WETICE.2016.30

G. Cammarata, A. Stefano, G. Morana, D. Zito

引用次数: 2

Demonstration of a New Computing Model to Manage a Distributed Application and Its Resources Using Turing Oracle Design 基于图灵Oracle设计的分布式应用及其资源管理新计算模型的演示

2016 IEEE 25th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE) Pub Date : 2016-06-13 DOI: 10.1109/WETICE.2016.63

Rao V. Mikkilineni, G. Morana, Surendra Keshan

引用次数: 6

Agent Technology, Superrecursive Algorithms, and DNa as a Tool for Distributed Clouds and Grids Agent技术、超递归算法和DNa作为分布式云和网格的工具

2016 IEEE 25th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE) Pub Date : 2016-06-13 DOI: 10.1109/WETICE.2016.28

M. Burgin, Rao V. Mikkilineni

引用次数: 3

Off-Line DVFS Integration in MDE-Based Design Space Exploration Framework for MP2SoC Systems 基于mde的MP2SoC系统设计空间探索框架中的离线DVFS集成

2016 IEEE 25th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE) Pub Date : 2016-06-13 DOI: 10.1109/WETICE.2016.43

M. Ammar, M. Baklouti, M. Pelcat, K. Desnos, M. Abid

{"title":"Off-Line DVFS Integration in MDE-Based Design Space Exploration Framework for MP2SoC Systems","authors":"M. Ammar, M. Baklouti, M. Pelcat, K. Desnos, M. Abid","doi":"10.1109/WETICE.2016.43","DOIUrl":"https://doi.org/10.1109/WETICE.2016.43","url":null,"abstract":"As the speed metric of Massively Parallel Multi-Processors System-on-Chip (MP2SoC) systems has increased over time, another metric has become more important: power consumption. Finding a tradeoff between power consumption and performance early in the design flow of MP2SoC systems in order to satisfy time-to-market is the design challenge of Electronic Design Automation (EDA) tools. This paper presents a Design Space Exploration (DSE) framework, named Energy-Aware Rapid Design of MP2SoC (EWARDS), aiming at exploring the performance and power capabilities of modern homogenous MP2SoC systems at design time using Model-Driven Engineering (MDE) techniques. The proposed framework extends the Modeling and Analysis of Real-Time and Embedded systems (MARTE)profile with power aspects of MP2SoC systems providing a high-level design entry. In addition, EWARDS integrates an energy-aware scheduler that strives to balance performance and energy savings by combining clustering scheduling algorithm with off-line Dynamic Voltage and Frequency Scaling (DVFS) power management techniques.","PeriodicalId":319817,"journal":{"name":"2016 IEEE 25th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133559026","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

Quasi Opportunistic Supercomputing for Geospatial Socially Networked Mobile Devices 地理空间社交网络移动设备的准机会超级计算

2016 IEEE 25th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE) Pub Date : 2016-06-13 DOI: 10.1109/WETICE.2016.65

Ankush Rai, Sakkaravarthi Ramanathan, R. Kannan

引用次数: 10