2012 IEEE Network Operations and Management Symposium最新文献_第3页

Autonomic fault management based on cognitive control loops 基于认知控制回路的自主故障管理

2012 IEEE Network Operations and Management Symposium Pub Date : 2012-04-16 DOI: 10.1109/NOMS.2012.6212036

Sung-Su Kim, Sin-Seok Seo, Joon-Myung Kang, J. W. Hong

引用次数: 6

A highly available transaction processing system with non-disruptive failure handling 具有非中断故障处理的高可用性事务处理系统

2012 IEEE Network Operations and Management Symposium Pub Date : 2012-04-16 DOI: 10.1109/NOMS.2012.6211925

Gong Su, A. Iyengar

{"title":"A highly available transaction processing system with non-disruptive failure handling","authors":"Gong Su, A. Iyengar","doi":"10.1109/NOMS.2012.6211925","DOIUrl":"https://doi.org/10.1109/NOMS.2012.6211925","url":null,"abstract":"We present a highly available system for environments such as stock trading, where high request rates and low latency requirements dictate that service disruption on the order of seconds in length can be unacceptable. After a node failure, our system avoids delays in processing due to detecting the failure or transferring control to a back-up node. We achieve this by using multiple primary nodes which process transactions concurrently as peers. If a primary node fails, the remaining primaries continue executing without being delayed at all by the failed primary. Nodes agree on a total ordering for processing requests with a novel low overhead wait-free algorithm that utilizes a small amount of shared memory accessible to the nodes and a simple compare-and-swap like protocol which allows the system to progress at the speed of the fastest node. We have implemented our system and show experimentally that it performs well and can transparently handle node failures without causing delays to transaction processing. The efficient implementation of our algorithm for ordering transactions is a critically important factor in achieving good performance.","PeriodicalId":364494,"journal":{"name":"2012 IEEE Network Operations and Management Symposium","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125784298","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

DNSSM: A large scale passive DNS security monitoring framework dssm:大规模被动DNS安全监控框架

2012 IEEE Network Operations and Management Symposium Pub Date : 2012-04-16 DOI: 10.1109/NOMS.2012.6212019

Samuel Marchal, J. François, C. Wagner, R. State, A. Dulaunoy, T. Engel, O. Festor

引用次数: 36

Graph clustering based provisioning algorithm for virtual network embedding 基于图聚类的虚拟网络嵌入预置算法

2012 IEEE Network Operations and Management Symposium Pub Date : 2012-04-16 DOI: 10.1109/NOMS.2012.6212045

Tae-Ho Lee, S. Tursunova, T. Choi

引用次数: 10

On feasibility of P2P traffic control through network performance manipulation 基于网络性能操纵的P2P流量控制的可行性研究

2012 IEEE Network Operations and Management Symposium Pub Date : 2012-04-16 DOI: 10.1109/NOMS.2012.6211969

HyunYong Lee, Masahiro Yoshida, A. Nakao

引用次数: 1

An adaptive hybrid elasticity controller for cloud infrastructures 云基础设施的自适应混合弹性控制器

2012 IEEE Network Operations and Management Symposium Pub Date : 2012-04-16 DOI: 10.1109/NOMS.2012.6211900

A. Ali-Eldin, Johan Tordsson, E. Elmroth

引用次数: 287

FedRR — A Federated Resource Reservation algorithm for multimedia services 用于多媒体服务的联邦资源预留算法

2012 IEEE Network Operations and Management Symposium Pub Date : 2012-04-16 DOI: 10.1109/NOMS.2012.6211891

J. Famaey, Steven Latré, T. Wauters, F. Turck

引用次数: 7

Integrated and autonomic cloud resource scaling 集成和自主的云资源扩展

2012 IEEE Network Operations and Management Symposium Pub Date : 2012-04-16 DOI: 10.1109/NOMS.2012.6212070

M. Hasan, Edgar Magaña, A. Clemm, L. Tucker, Sree Lakshmi D. Gudreddi

{"title":"Integrated and autonomic cloud resource scaling","authors":"M. Hasan, Edgar Magaña, A. Clemm, L. Tucker, Sree Lakshmi D. Gudreddi","doi":"10.1109/NOMS.2012.6212070","DOIUrl":"https://doi.org/10.1109/NOMS.2012.6212070","url":null,"abstract":"A Cloud is a very dynamic environment where resources offered by a Cloud Service Provider (CSP), out of one or more Cloud Data Centers (DCs) are acquired or released (by an enterprise (tenant) on-demand and at any scale. Typically a tenant will use Cloud service interfaces to acquire or release resources directly. This process can be automated by a CSP by providing auto-scaling capability where a tenant sets policies indicating under what condition resources should be auto-scaled. This is specially needed in a Cloud environment because of the huge scale at which a Cloud operates. Typical solutions are naïve causing spurious auto-scaling decisions. For example, they are based on only thresholding triggers and the thresholding mechanisms themselves are not Cloud-ready. In a Cloud, resources from three separate domains, compute, storage and network, are acquired or released on-demand. But in typical solutions resources from these three domains are not auto-scaled in an integrated fashion. Integrated auto-scaling prevents further spurious scaling and reduces the number of auto-scaling systems to be supported in a Cloud management system. In addition, network resources typically are not auto-scaled. In this paper we describe a Cloud resource auto-scaling system that addresses and overcomes above limitations.","PeriodicalId":364494,"journal":{"name":"2012 IEEE Network Operations and Management Symposium","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128954328","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: 123

Seamless integration of wireless access, free space optical, and fiber-based backbone networks 无线接入、自由空间光和基于光纤的骨干网的无缝集成

2012 IEEE Network Operations and Management Symposium Pub Date : 2012-04-16 DOI: 10.1109/NOMS.2012.6212082

S. Kartalopoulos

引用次数: 3

A replication component for resilient OpenFlow-based networking 用于弹性的基于openflow的网络的复制组件

2012 IEEE Network Operations and Management Symposium Pub Date : 2012-04-16 DOI: 10.1109/NOMS.2012.6212011

P. Fonseca, Ricardo Bennesby, E. Mota, A. Passito

{"title":"A replication component for resilient OpenFlow-based networking","authors":"P. Fonseca, Ricardo Bennesby, E. Mota, A. Passito","doi":"10.1109/NOMS.2012.6212011","DOIUrl":"https://doi.org/10.1109/NOMS.2012.6212011","url":null,"abstract":"Software-Defined Networking (SDN) provides a new paradigm for developing innovative management applications for networks and a new way to look for the resolution to the many problems which exist throughout the Internet today. The most popular approach to this paradigm is centralized network management. This approach aims to simplify the complex and difficult task of managing the services of a network. One of the problems raised by the centralized management approach is that the issue of a single point of failure can negatively compromise resilience of the whole network. The aim of this paper is to describe a novel mechanism that provides an increase of resilience in SDN using a component organization. In the SDN architecture, components run independently on top of the network OS, receiving updates from the network or updates generated from other components. Through the handling of these multiple types of updates, we have successfully developed a new component: the CPRecovery component. The CPRecovery component is based on the primary-backup mechanism which offers resilience against several types of failures in a centralized controlled network. Our results show that the building of such service for networks using SDN is straightforward, much less complex, and less prone to errors. Furthermore, it is possible to build management applications resilient to diverse types of failures using component organization approach.","PeriodicalId":364494,"journal":{"name":"2012 IEEE Network Operations and Management Symposium","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132420587","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: 163