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Securing distributed SDN Controller Network from Induced DoS Attacks 8

Securing Distributed SDN Controller Network from Induced DoS...

引用

8th IEEE international conference on Cloud computing in Emerging Markets, CCEM 2019

作者： Shravanya, G. Swati, N.H. Rustagi, Ram P. Sharma, Oshin Department of Computer Science and Engineering PES University Bengaluru India Department of Computer Science and Engineering KS Institute of Technology Bengaluru India

ISBN: (纸本)9781728163345

With the escalation in security breaches on organizations and institutions that store, maintain and work with critical data, there is a need for a security-enhancing and risk-mitigating solution that works on the fly and is feasible to implement. Software Defined Networks is a networking paradigm that makes the network agile by disaggregating hardware and software. SDN helps enhance security with the help of micro-segmentation. the controller maintains a central view of the network, and its ability to monitor and store network information helps optimize routing. the centralization nature of the controller makes it vulnerable to DoS attacks which can be catastrophic for network functioning. the objective of this paper is to secure the distributed SDN controller architecture against DoS attacks. the proposed architecture is robust, scalable, and uses Big Data techniques to process streams of network traffic in real-time and Machine Learning to detect and mitigate DoS attacks. © 2019 IEEE.

关键词： Denial-of-service attack

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HPC as a Service: A naive model 8

HPC as a Service: A naive model

引用

8th international conference on Information and Communication Technologies (ICICT)

作者： Imran, Hamza Ali Wazir, Saad Ikram, Ahmed Jamal Ikram, Ataul Aziz Ullah, Hanif Ehsan, Maryam FAST Natl Univ Comp & Emerging Sci EPIC Lab Islamabad Pakistan Riphah Int Univ Islamabad Pakistan Univ Gujrat Informat Technol Dept Gujrat Pakistan

ISBN: (纸本)9781728123349

Applications like Big Data, Machine Learning, Deep Learning and even other Engineering and Scientific research requires a lot of computing power;making High-Performance computing (HPC) an important field. But access to Supercomputers is out of range from the majority. Nowadays Supercomputers are actually clusters of computers usually made-up of commodity hardware. Such clusters are called Beowulf Clusters. the history of which goes back to 1994 when NASA built a Supercomputer by creating a cluster of commodity hardware. In recent times a lot of effort has been done in making HPC Clusters of even single board computers (SBCs). Although the creation of clusters of commodity hardware is possible but is a cumbersome task. Moreover, the maintenance of such systems is also difficult and requires special expertise and time. the concept of cloud is to provide on-demand resources that can be services, platform or even infrastructure and this is done by sharing a big resource pool. Cloud computing has resolved problems like maintenance of hardware and requirement of having expertise in networking etc. An effort is made of bringing concepts from cloud computing to HPC in order to get benefits of cloud. the main target is to create a system which can develop a capability of providing computing power as a service which to further be referred to as Supercomputer as a service. A prototype was made using Raspberry Pi (RPi) 3B and 3B+ Single Board Computers. the reason for using RPi boards was increasing popularity of ARM processors in the field of HPC

关键词： High Performance computing Single Board Computers Raspberry Pi Portable Cluster Educational Arm-based micro-cluster Cloud computing HPCaaS Message Passing Interface MPI4py Parallel & distributed computing

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A Survey of Emerging Network Virtualization Frameworks and Cloud computing 8

A Survey of Emerging Network Virtualization Frameworks and C...

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8th IEEE international conference on Cloud computing, Data Science and Engineering (Confluence) / Global Technology, Innovation and Enterpreneurship Summit

作者： Gupta, Tushar Ganatra, Jaydeep Samdani, Krishna Mukesh Patel Sch Technol Management & Engn Bengaluru India Mukesh Patel Sch Technol Management & Engn Dept Comp Engn Bengaluru India

ISBN: (纸本)9781538617199

Network virtualization has distinguished itself as a clear forerunner when it comes to being the catalyst in enabling cloud computing and satisfying the needs of future data growth. In the field of mobile broadband networks, frameworks such as Software Defined networking and Network Function Virtualization have emerged to be the key concepts used in implementing Network Slicing - the core of developing 5th Generation networks. It helps networks meet specific service requirements and ensure greater reliability and dedicated data flow. In cloud computing, organizations are using virtualization to migrate their databases and computational logic in an effort to use distributed and virtualized data centers so these services are deployed and managed using a central server and remote thin client configurations in high availability systems. Furthermore, using Commercial off the Shelf software reduces dependence on proprietary solutions thus enabling fast go-to-market, minimized Capital Expenditure and Operational Expenditure.

关键词： Network Function Virtualization (NFV) Network Slicing Software Defined Networks (SDN) thin Clients (TCs)

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Intelligent Resource Allocation in Dynamic Fog computing Environments

Intelligent Resource Allocation in Dynamic Fog Computing Env...

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IEEE international conference on Cloud networking (CLOUDNET)

作者： Amina Mseddi Wael Jaafar Halima Elbiaze Wessam Ajib Université du Québec À Montréal QC Canada Carleton University Ottawa ON Canada

ISBN: (数字)9781728148328

ISBN: (纸本)9781728148335

Fog computing emerged as a new paradigm that pushes cloud applications to the network edge. the fog infrastructure contains mainly distributed and heterogeneous fog nodes that are characterized by their complex distribution, high mobility and sporadic resources availability. this dynamic fog nodes behavior triggers new challenges in the resource management process, such as resources coordination for continuous quality-of-service satisfaction. In this paper, we propose a smart online resource allocation approach adapted for dynamic fog computing environments, aiming at maximizing the number of satisfied user requests within a predefined delay threshold. We model the fog computing environment as a Markov discrete process, where dynamic fog node behavior / mobility and resources availability are considered. then, we present our smart deep-reinforcement-learning resource allocation algorithm. Considering real-world mobility data sets, the near-optimal performance of the proposed solution is illustrated through simulations, and its superiority over heuristic state-of-the-art approaches is exposed.

关键词： Containers Delays Resource management Dynamic scheduling Vehicle dynamics Edge computing Cloud computing

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Resource provisioning for highly reliable and ultra-responsive edge applications

Resource provisioning for highly reliable and ultra-responsi...

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IEEE international conference on Cloud networking (CLOUDNET)

作者： László Toka Dávid Haja Attila Kőrösi Balázs Sonkoly MTA-BME Information Systems Research Group Budapest University of Technology and Economics Hungary

ISBN: (数字)9781728148328

ISBN: (纸本)9781728148335

Edge and fog computing are emerging concepts extending traditional cloud computing by deploying compute resources closer to the users. this approach, closely integrated with carrier-networks, enables several future services, such as tactile internet, 5G and beyond telco services, and extended reality applications. the emphasis is on integration: the rigorous delay constraints, ensuring reliability on the distributed remote nodes, and the sheer scale altogether call for a powerful provisioning platform that offers the applications the best out of the underlying infrastructure. In this paper we investigate the resource provisioning problem in the edge infrastructure with the consideration of probable failures. Our goal is to support high reliability of services with the minimum amount of edge resources reserved to provide the necessary redundancy in the system. We design a resource provisioning algorithm, which takes into account network latency when pinpointing backup placeholders for virtual functions of edge applications. We implement the proposed solution in a simulation environment and show the efficient resource utilization results achieved by our fast heuristic algorithm.

关键词： Delays Reliability Computational modeling Topology Edge computing 5G mobile communication Servers

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Selectivity and Autoscaling as Complementary Defenses for DDoS Protection to Cloud Services

Selectivity and Autoscaling as Complementary Defenses for DD...

引用

IEEE international conference on Cloud networking (CLOUDNET)

作者： João Henrique G. M. Corrêa Epaminondas A. Sousa Junior Iguatemi E. Fonseca Vivek Nigam Moisés R. N. Ribeiro Rodolfo S. Villaça Federal University of Espírito Santo Vitória Brazil Federal University of Paraiba João Pessoa Brazil

ISBN: (数字)9781728148328

ISBN: (纸本)9781728148335

distributed Denial-of-Service (DDoS) is becoming an even more complex problem with the migration of these services and applications to shared and centralized cloud infrastructures. Application layer Denial-of-Service attacks (ADDoS) is an special type of DDoS attacks, and the main problem in mitigating these attacks is because attacker requests are similar to legitimate clients. this paper proposes to use the scalability feature of cloud infrastructure as a defense from high-rate DDoS attacks, and selectivity defense to mitigate low-rate ADDoS attacks. Experiments are conducted in an OpenStack cloud environment to show that the combined use of selectivity and autoscaling can be used as a defense against low- and high-rate DDoS attacks.

关键词： Computer crime Cloud computing Bars Web servers Proposals Virtual machining

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Access Domain-Based Approach for Anomaly Detection and Resolution in XACML Policies 8th

Access Domain-Based Approach for Anomaly Detection and Resol...

引用

8th international conference on Innovations in Bio-Inspired computing and Applications (IBICA)

作者： El Hadj, Maryem Ait Benkaouz, Yahya Khoumsi, Ahmed Erradi, Mohammed Mohammed V Univ Rabat ENSIAS ITM Team Networking & Distributed Syst Res Grp Rabat Morocco Mohammed V Univ Rabat Concept & Syst Lab FSR Rabat Morocco Univ Sherbrooke Dept Elect & Comp Engn Sherbrooke PQ Canada

ISBN: (纸本)9783319763545;9783319763538

Access control protects systems' resources against unauthorized access via a set of policy rules. In distributed environments, access control policies might be aggregated from multiple tenants and could be managed by more than one administrator. therefore, errors in the rules definitions may compromise the system security by leading to unauthorized access or denying authorized access. this may result into anomalies, i.e. conflicting rules and redundant rules. In this paper, we propose an approach to detect and resolve anomalies in XACML (eXtensible Access Control Markup Language) policies. We introduce the concept of a rule access domain, which is used to accurately identify and resolve policy anomalies.

关键词： XACML policies Clustering Anomaly detection Anomaly resolution Access domain

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Building Dynamic Mapping with CUPS for Next Generation Automotive Edge computing

Building Dynamic Mapping with CUPS for Next Generation Autom...

引用

IEEE international conference on Cloud networking (CLOUDNET)

作者： Zhaoxia Sun Ping Du Akihiro Nakao Lei Zhong Ryokichi Onishi The University of Tokyo Japan Toyota Motor Corporation Japan

ISBN: (数字)9781728148328

ISBN: (纸本)9781728148335

With the development of IoT and 5G networks, the demand for the next-generation intelligent transportation system has been growing at a rapid pace. Dynamic mapping has been considered one of the key technologies to reduce traffic accidents and congestion in the intelligent transportation system. However, as the number of vehicles keeps growing, a huge volume of mapping traffic may overload the central cloud, leading to serious performance degradation. In this paper, we propose and prototype a CUPS (control and user plane separation)-based edge computing architecture for the dynamic mapping and quantify its benefits by prototyping. there are a couple of merits of our proposal: (i) we can mitigate the overhead of the networks and central cloud because we only need to abstract and send global dynamic mapping information from the edge servers to the central cloud; (ii) we can reduce the response latency since the dynamic mapping traffic can be isolated from other data traffic by being generated and distributed from a local edge server that is deployed closer to the vehicles than the central server in cloud. the capabilities of our system have been quantified. the experimental results have shown our system achieves throughput improvement by more than four times, and response latency reduction by 67.8% compared to the conventional central cloud-based approach. Although these results are still obtained from the preliminary evaluations using our prototype system, we believe that our proposed architecture gives insight into how we utilize CUPS and edge computing to enable efficient dynamic mapping applications.

关键词： Vehicle dynamics Cloud computing Edge computing Servers Prototypes Computer architecture Logic gates

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Minimizing state access delay for cloud-native network functions

Minimizing state access delay for cloud-native network funct...

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IEEE international conference on Cloud networking (CLOUDNET)

作者： Márk Szalay Péter Mátray László Toka Budapest University of Technology and Economics Ericsson Research MTA-BME Information Systems Research Group

ISBN: (数字)9781728148328

ISBN: (纸本)9781728148335

In the era of cloud services, there is a strong desire to improve the elasticity and reliability of applications in the cloud. the standard way of achieving these goals is to decouple the life-cycle of important application states from the life-cycle of individual application instances: states, and data in general, are written to and read from cloud databases, deployed close to the application code. the high performance requirements on the application impose strict latency limits on these storage solutions for state access. Cloud database instances are therefore distributed on multiple hosts in order to strive to ensure data locality for all functions. However, the shared nature of certain states, and the inevitable dynamics of the application workload necessarily lead to inter-host data access within the data center (or even across data centers, if the application requires a multi-data center setup). In order to minimize the inter-host communication due to state externalization, we propose an advanced cloud scheduling algorithm that places functions' states across the hosts of a data center. We create a model for the state placement with the aim of minimizing state access latency, and we prove that it is a complex problem. We therefore propose heuristics for fast and efficient placement methods and we evaluate those across realistic scenarios. We show that our approximations are close to the optimal placement, and in large-scale settings the algorithms take only a few minutes to yield good placement results.

关键词： Noise measurement Cloud computing Delays Servers Reliability Databases Data centers

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PERFORMANCE ANALYSIS OF RANDOMIZED ALGORIthM FOR OPTIMAL QUERY PLAN GENERATION IN distributed ENVIRONMENT. 8

PERFORMANCE ANALYSIS OF RANDOMIZED ALGORITHM FOR OPTIMAL QUE...

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8th international conference on computing, Communication and networking Technologies (ICCCNT)

作者： Yadav, Pramod Kumar Rizvi, Syed Afzal Murtaza KIET Grp Inst Dept Comp Sci & Engg Ghaziabad India Jamia Millia Islamia Dept Comp Sci New Delhi India

ISBN: (纸本)9781509030385

the method of finding the optimal processing method to answer a query is called Query optimization, whereas a collection of various sites, distributed over a computer network is called distributed database. In distributed Database, the site communicates with each other through networks. the processing cost and the transmission cost are the important issues arise during evaluation of query cost. Several algorithms have been developed to find the best optimal solution for a particular query;however they all have their certain limitations. Hence, to find the optimal cost for a particular query is emerging as an open challenge for many researchers. therefore the cost-based query optimization technique has emerged as an important concept for dealing with the query optimization. With the help of fragmentations one can replicate each fragment to various distributed sites, since

关键词： Iterative Improvement Simulated annealing Two Phase Optimization

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