Multi-core platforms for audio and multimedia coding algorithms in telecommunications

Tietoliikenteessä käytettävät multimedian koodausalgoritmit eli koodekit kehittyvät jatkuvasti. USAC ja Opus ovat uusia, sekä puheelle että musiikille soveltuvia audiokoodekkeja. Molemmat ovat sijoittuneet korkealle koodekkien äänenlaatua vertailevissa tutkimuksissa. Näiden keskeisiä ominaisuuksia käsitellään kirjallisuuskatsaukseen perustuen. Varsinkin HD-tasoisen videon käsittelyssä käytettävät koodekit vaativat suurta laskentatehoa. Tilera TILEPro64 -moniydinsuorittimen ja sille optimoitujen multimediakoodekkien suorituskykyä testattiin tarkoitukseen suunnitelluilla tietokoneohjelmilla. Tulokset osoittivat, että suoritinytimiä lisättäessä videon koodausalgoritmien suoritusnopeus kasvaa tiettyyn rajaan asti. Testatuilla äänen koodausalgoritmeillä ytimien lisääminen ei parantanut suoritusnopeutta. Tileran moniydinratkaisuja verrattiin lopuksi Freescalen ja Texas Instrumentsin moniydinratkaisuihin. Huolimatta eroista laitteistoarkkitehtuureissa, kyseisten toimittajien kehitystyökaluissa todettiin olevan paljon samoja piirteitä.Multimedia coding algorithms used in telecommunications evolve constantly. Benefits and properties of two new hybrid audio codecs (USAC, Opus) were reviewed on a high level as a literature study. It was found that both have succeeded well in subjective sound quality measurements. Tilera TILEPro64-multicore platform and a related software library was evaluated in terms of performance in multimedia coding. The performance in video coding was found to increase with the number of processing cores up to a certain point. With the tested audio codecs, increasing the number of cores did not increase coding performance. Additionally, multicore products of Tilera, Texas Instruments and Freescale were compared. Development tools of all three vendors were found to have similar features, despite the differences in hardware architectures

Optimizing Virtual Machine I/O Performance in Virtualized Cloud by Differenciated-frequency Scheduling and Functionality Offloading

Many enterprises are increasingly moving their applications to private cloud environments or public cloud platforms. A key technology driving cloud computing is virtualization which can serve multiple VMs in one physical machine hence providing better management flexibility and significant savings in operational costs. However, one important consequence of virtualized hosts in the cloud is the negative impact it has on the I/O performance of the applications running in the VMs

Packet Fan-Out Extension for the pcap Library

The large availability of multi-gigabit network cards for commodity PCs requires network applications to potentially cope with high volumes of traffic. However, computation intensive operations may not catch up with high traffic rates and need to be run in parallel over multiple processing cores. As of today, the vast majority of network applications - e.g., monitoring and IDS systems - are still based on the pcap library interface which, unfortunately, does not provide the native multi-core support, even though the current underlying capture technologies do. This paper introduces a novel version of the pcap library for the Linux operating system that enables transparent application level parallelism. The new library supports fan-out operations for both multi-threaded and multi-process applications, by means of extended API as well as by a declarative grammar for configuration files, suitable for legacy applications. In addition, the library can transparently run on top of the standard Linux socket as well as on other accelerated active engines. Performance evaluation has been carried out on a multi-core architecture in pure capture tests and in more realistic use cases involving monitoring applications such as Tstat and Bro, with standard Linux socket as well as PFRING and PFQ accelerated engines

Opus audiokoodekki matkapuhelinverkoissa

The latest generations in mobile networks have enabled a possibility to include high quality audio coding in data transmission. On the other hand, an on-going effort to move the audio signal processing from dedicated hardware to data centers with generalized hardware introduces a challenge of providing enough computational power needed by the virtualized network elements. This thesis evaluates the usage of a modern hybrid audio codec called Opus in a virtualized network element. It is performed by integrating the codec, testing it for functionality and performance on a general purpose processor, as well as evaluating the performance in comparison to the digital signal processor's performance. Functional testing showed that the codec was integrated successfully and bit compliance with the Opus standard was met. The performance results showed that although the digital signal processor computes the encoder's algorithms with less clock cycles, related to the processor's whole capacity the general purpose processor performs more efficiently due to higher clock frequency. For the decoder this was even clearer, when the generic hardware spends on average less clock cycles for performing the algorithms.Uusimmat sukupolvet matkapuhelinverkoissa mahdollistavat korkealaatuisen audiokoodauksen tiedonsiirrossa. Toisaalta audiosignaalinkäsittelyn siirtäminen sovelluskohtaisesta laitteistosta keskitettyjen palvelinkeskusten yleiskäyttöiseen laitteistoon on käynnissä, mikä aiheuttaa haasteita tarjota riittävästi laskennallista tehoa virtualisoituja verkkoelementtejä varten. Tämä diplomityö arvioi modernin hybridikoodekin, Opuksen, käyttöä virtualisoidussa verkkoelementissä. Se on toteutettu integroimalla koodekki, testaamalla funktionaalisuutta ja suorituskykyä yleiskäyttöisellä prosessorilla sekä arvioimalla suorituskykyä verrattuna digitaalisen signaaliprosessorin suorituskykyyn. Funktionaalinen testaus osoitti että koodekki oli integroitu onnistuneesti ja että bittitason yhdenmukaisuus Opuksen standardin kanssa saavutettiin. Suorituskyvyn testitulokset osoittivat, että vaikka enkoodaus tuotti vähemmän kellojaksoja digitaalisella signaaliprosessorilla, yleiskäyttöinen prosessori suoriutuu tehokkaammin suhteutettuna prosessorin kokonaiskapasiteettiin korkeamman kellotaajuuden ansiosta. Dekooderilla tämä näkyi vielä selkeämmin, sillä yleiskäyttöinen prosessori kulutti keskimäärin vähemmän kellojaksoja algoritmien suorittamiseen

Extended DDoS Confirmation & Attack Packet Dropping Algorithm in On-Demand Grid Computing Platform

DDoS attacks are thrown through carriage of a large amount of packets to an objective machine, using instantaneous teamwork of numerous hosts which are scattered throughout the Grid computing environment. Nowadays DDoS attacks on the Internet in general and particularly in Grid computing environment has become a visible issue in computer networks and communications. DDoS attacks are cool to provoke but their uncovering is a very problematic and grim task and therefore, an eye-catching weapon for hackers. DDoS torrents do not have familiar characteristics; therefore currently existing IDS cannot identify and discover these attacks perfectly. Correspondingly, there implementation is a puzzling task. In practice, Gossip based DDoS attacks detection apparatus are used to detect such types of attacks in computer networks, by exchanging stream of traffic over line. Gossip based techniques results in network overcrowding and have upstairs of superfluous and additional packets. Keeping the above drawbacks in mind, we have proposed a DDoS detection and prevention mechanism in [1], that has the attractiveness of being easy to adapt and more trustworthy than existing counterparts. We have introduced entropy based detection mechanism for DDoS attack detection. Our proposed solution has no overhead of extra packets, hence resulting in good QoS. Once DDoS is detected, any prevention technique can be used to prevent DDoS in Grid environment. In this paper we are going to extend our idea. A confirmation mechanism is introduced herewith