Implementation of Failure Detector Based on Network Function Virtualization

Turchetti, Rogério C.; Duarte, Elias P.

doi:10.1109/dsn-w.2015.30

Cited by 15 publications

(15 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…We categorized the existing solution into two parts, in which, at first, we address the SFC algorithms, [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23] and then in the second part, we describe the solutions and handle the failures and faults in SDNs/NFVs. [24][25][26][27][28][29][30][31][32][33][34][35]…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Software defined service function chaining with failure consideration for fog computing

Tajiki

Shojafar

Akbari

et al. 2018

Concurrency and Computation

View full text Add to dashboard Cite

Middleboxes have become a vital part of modern networks by providing services such as load balancing, optimization of network traffic, and content filtering. A sequence of middleboxes comprising a logical service is called a Service Function Chain (SFC). In this context, the main issues are to maintain an acceptable level of network path survivability and a fair allocation of the resource between different demands in the event of faults or failures. In this paper, we focus on the problems of traffic engineering, failure recovery, fault prevention, and SFC with reliability and energy consumption constraints in Software Defined Networks (SDN). These types of deployments use Fog computing as an emerging paradigm to manage the distributed small-size traffic flows passing through the SDN-enabled switches (possibly Fog Nodes). The main aim of this integration is to support service delivery in real-time failure recovery in an SFC context. First, we present an architecture for Failure Recovery called FRFP; this is a multi-tier structure in which the real-time traffic flows pass through SDN-enabled switches to jointly decrease the network side-effects of flow rerouting and energy consumption of the Fog Nodes. We then mathematically formulate an optimization problem called the Optimal Fast Failure Recovery algorithm (OFFR) and propose a near-optimal heuristic called Heuristic HFFR to solve the corresponding problem in polynomial time. In this way, the reliability of the selected paths are optimized, while the network congestion is minimized. KEYWORDS failure recovery, fog computing (FC), network function virtualization (NFV), resource reallocation, service function chaining (SFC), software defined network (SDN) 1 INTRODUCTION Network Function Virtualization (NFV) paradigm decouples network functions (NFs) from dedicated hardware equipment and provides more flexibility to the owner of an IT infrastructure. NFV consists in a set of different services running on generic hardware (eg, IDS, proxy, deep packet inspection, and firewall) that are chained using the so called Service Function Chaining (SFC) concept. This concept can be applied to industrial environments; in particular, NFV is used in industrial network design in order to reduce exposure to risks, reduce CAPEX/OPEX costs, and minimize future performance issues by basing the infrastructure upon commodity servers and switches. 1 NFV and SFCs offer a great flexibility in the chaining and placement of NFs. The European Telecommunications Standards Institute (ETSI) is driving the standardization of NFV. Software Defined Networking (SDN) complements NFV and is concerned with the decoupling of control plane functionality from packet forwarding devices, allowing a controller to flexibly configure the networking operations in the infrastructure. NFV and SDN require attention to avoid cascading threats as well ascontroller protections, especially for the software applications across the SDN switches that interoperate with the server virtualization and virtual machines (VMs). 2...

show abstract

Section: Related Workmentioning

confidence: 99%

“…In the following, we briefly discuss the main literature on NFVs/SDNs and service function changing related to our work. We categorized the existing solution into two parts, in which, at first, we address the SFC algorithms, and then in the second part, we describe the solutions and handle the failures and faults in SDNs/NFVs …”

Section: Related Workmentioning

confidence: 99%

Software defined service function chaining with failure consideration for fog computing

Tajiki

Shojafar

Akbari

et al. 2018

Concurrency and Computation

View full text Add to dashboard Cite

show abstract

“…First of all, we have previously published a preliminary version of NFV-FD. 14 In that paper, we first investigated the feasibility of implementing an FD as a virtual network function. We compared 2 implementations: within and outside the OpenFlow controller.…”

Section: Related Workmentioning

confidence: 99%

NFV‐FD: Implementation of a failure detector using network virtualization technology

Turchetti

Duarte

2017

Int J Network Mgmt

Self Cite

View full text Add to dashboard Cite

Summary A failure detector (FD) is a classic distributed systems service that can be used to monitor processes of any network application. Failure detectors provide process state information: A process is reported to be either correct or suspected to have crashed. In this work, we propose the implementation of a process monitoring service using Network Function Virtualization (NFV) in an OpenFlow network. The NFV is a technology that uses software virtualization techniques to drastically reduce the cost of deploying and managing network functions that are usually available as middleboxes. We describe NFV‐FD, a network service that provides information about the state of both processes and links. The NFV‐FD relies on an OpenFlow controller from which monitoring information is obtained. We investigate different ways to implement NFV‐FD. We evaluate the performance impact of monitoring by implementing the virtual function both within and on a separate host from the controller. Then we compare an implementation based on a traditional virtual machine with another implementation based on containers. Experimental results are reported not only in terms of performance, ie, the amount of resources required by NFV‐FD, but also for the quality of service provided by the failure detection and notification functions as they are used to deploy a reliable broadcast service.

show abstract

“…There is a lack in multilayer diagnosis approaches covering control and data planes in SDN, although some troubleshooting mechanisms exist such as NICE for testing OpenFlow applications, NDB for tracing packets, OFRewind for finding invalid controller actions and packet parsing errors, STS for analyzing software bugs, or NetSight for detecting forwarding loops. Turchetti and Duaerte describe a failure detector for SDN but assume that the SDN controller does not crash and only focus on faults in the data links (DLs) . Gheorghe et al propose SDN‐RADAR, a multiagent‐distributed network troubleshooting mechanism for SDN that identifies faulty network links impacting user experience.…”

Section: Related Workmentioning

confidence: 99%

Self‐modeling based diagnosis of network services over programmable networks

et al. 2017

View full text Add to dashboard Cite

In this paper, we propose a multilayer self-diagnosis framework for network services within the software-defined networking and network functions virtualization environments. The framework encompasses 3 main contributions: (1) the definition of multilayered templates to identify the components to supervise across the physical, logical, virtual, and service layers. These templates are also finer-granular, extendable, and machine-readable; (2) a topology-aware and a service-aware self-modeling module that takes as input the templates, instantiates them, and generates an on-the-fly diagnosis model, which includes the physical, logical, and the virtual dependencies of network services; (3) a topology-aware and a service-aware root cause analysis approach that takes into account the network services views and their underlying network resources observations within the aforementioned layers to automate the diagnosis of programmable networks. We also present extensive simulations to prove and evaluate the following aspects: a fully automated diagnosis model generation and a fine-grained and reduced uncertainty diagnosis of the root cause for network services failures including those of their underlying resources. We include in this extended paper relevant state-of-the-art on topology and service aware diagnosis approaches for different types of network technologies, a deeper insight of our approach and problem formalization, and additional results. FIGURE 1 Network services over software-defined networking (SDN) and network functions virtualization (NFV) combined infrastructures a dynamic placement and migration of the virtual network functions.This paper's contribution is a topology-aware and service-aware self-diagnosis approach that is relying on multilayered and finer granular templates for diagnosing the dynamic network services within an SDN and NFV environment. This framework is topology-aware as it diagnoses the whole network topology (1) but it is also service-aware as it diagnoses the overlying network services with their virtual resources (2), and considers their mapping over the network (3), as shown in Figure 1.Our self-diagnosis framework encompasses the following:

show abstract

Implementation of Failure Detector Based on Network Function Virtualization

Cited by 15 publications

References 21 publications

Software defined service function chaining with failure consideration for fog computing

Software defined service function chaining with failure consideration for fog computing

NFV‐FD: Implementation of a failure detector using network virtualization technology

Self‐modeling based diagnosis of network services over programmable networks

Contact Info

Product

Resources

About