Experimental Evaluation of Memory Management in Content-Centric Networking

Carofiglio, Giovanna; Gehlen, Vinicius; Perino, Diego

doi:10.1109/icc.2011.5962739

Cited by 75 publications

(59 citation statements)

References 10 publications

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“…The effect of content caching on content-centric networks where multiple applications or services are running has been investigated in [6][7][8][9]. Carofiglio et al [6,7] have clarified the role of the CS allocation method (an exclusive method) on the cache hit rate of multiple applications running on content-centric networks by means of experiments and simulations.…”

Section: Related Workmentioning

confidence: 99%

“…Carofiglio et al [6,7] have clarified the role of the CS allocation method (an exclusive method) on the cache hit rate of multiple applications running on content-centric networks by means of experiments and simulations. Their results show that an exclusive method can guarantee application performance but it may decrease the overall performance of the entire network.…”

Section: Related Workmentioning

confidence: 99%

“…In the hybrid method, several VCCN router instances within a CCN router are assigned their own parts of its CS and other instances jointly use the remaining CS. Previous studies of the effects of content caching on content-centric networks have focused only on the exclusive and shared methods [6][7][8][9]. However, when content request patterns are heterogeneous, these two methods can barely maintain a balance between network fairness for VCCN slices and overall network performance.…”

Section: Introductionmentioning

confidence: 99%

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Cache Performance Analysis of Virtualized Router on Virtual Content-Centric Networks

Tsukamoto¹,

Ohsugi²,

Ohsaki³

et al. 2013

IJNGN

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Cache Performance Analysis of Virtualized Router on Virtual Content-Centric Networks

Tsukamoto¹,

Ohsugi²,

Ohsaki³

et al. 2013

IJNGN

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“…More comprehensive discussion on routing, security and flow control features of CCN is available in [133]. Researchers are also making efforts to explore new CCN dimensions by evaluating routing algorithms, data modeling, memory management and developing monitoring tools [134][135][136][137][138].…”

Section: Ddos Protection In Ccnmentioning

confidence: 99%

A Survey on DDoS Attack and Defense Strategies: From Traditional Schemes to Current Techniques

Aamir

Zaidi

2013

IIS

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Distributed Denial of Service (DDoS) attacks exhaust victim's bandwidth or services. Traditional architecture of Internet is vulnerable to DDoS attacks and an ongoing cycle of attack & defense is observed. A recent attack report of year 2013 -'Quarter 1' from Prolexic Technologies identifies that 1.75 percent increase in total number of DDoS attacks has been recorded as compared to similar attacks of previous year's last quarter. In this paper, different types and techniques of DDoS attacks and their countermeasures are surveyed. The significance of this paper is the coverage of many aspects of countering DDoS attacks including new research on the topic. We survey different papers describing methods of defense against DDoS attacks based on entropy variations, traffic anomaly parameters, neural networks, device level defense, botnet flux identifications, application layer DDoS defense and countermeasures in wireless networks, CCN & cloud computing environments. We also discuss some traditional methods of defense such as traceback and packet filtering techniques, so that readers can identify major differences between traditional and current techniques of defense against DDoS attacks. We identify that application layer DDoS attacks possess the ability to produce greater impact on the victim as they are driven by legitimate-like traffic, making it quite difficult to identify and distinguish from legitimate requests. The need of improved defense against such attacks is therefore more demanding in research. The study conducted in this paper can be helpful for readers and researchers to recognize better techniques of defense in current times against DDoS attacks and contribute with more research on this topic in the light of future challenges identified in this paper.

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“…There have been studies on how to populate/maintain in-network storages considering content requests with different popularity and huge in-network storages. For example, in-network storages can be partitioned for different application classes to provide service differentiation [11]. Content types (e.g., uploaded, cached, etc.)…”

Section: Introductionmentioning

confidence: 99%

WAVE: Popularity-based and collaborative in-network caching for content-oriented networks

Cho

Lee

Park

et al. 2012

2012 Proceedings IEEE INFOCOM Workshops

287

187

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Abstract-In content-oriented networking, content files are typically cached in network nodes, and hence how to cache content files is crucial for the efficient content delivery and cache storage utilization. In this paper, we propose a content caching scheme, WAVE, in which the number of chunks to be cached is adjusted based on the popularity of the content. In WAVE, an upstream node recommends the number of chunks to be cached at its downstream node, which is exponentially increased as the request count increases. Simulation results reveal that the average hop count of content delivery of WAVE is lower than other schemes, and the inter-ISP traffic volume of WAVE is the second lowest (CDN is the lowest). Also, WAVE achieves higher cache hit ratio and fewer frequent cache replacements than other on-demand caching strategies.

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Experimental Evaluation of Memory Management in Content-Centric Networking

Cited by 75 publications

References 10 publications

Cache Performance Analysis of Virtualized Router on Virtual Content-Centric Networks

Cache Performance Analysis of Virtualized Router on Virtual Content-Centric Networks

A Survey on DDoS Attack and Defense Strategies: From Traditional Schemes to Current Techniques

WAVE: Popularity-based and collaborative in-network caching for content-oriented networks

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