Traffic and task allocation in networks and the cloud

Communication services such as telephony, broadband and TV are increasingly migrating into Internet Protocol(IP) based networks because of the consolidation of telephone and data networks. Meanwhile, the increasingly wide application of Cloud Computing enables the accommodation of tens of thousands of applications from the general public or enterprise users which make use of Cloud services on-demand through IP networks such as the Internet. Real-Time services over IP (RTIP) have also been increasingly significant due to the convergence of network services, and the real-time needs of the Internet of Things (IoT) will strengthen this trend. Such Real-Time applications have strict Quality of Service (QoS) constraints, posing a major challenge for IP networks. The Cognitive Packet Network (CPN) has been designed as a QoS-driven protocol that addresses user-oriented QoS demands by adaptively routing packets based on online sensing and measurement. Thus in this thesis we first describe our design for a novel ``Real-Time (RT) traffic over CPN'' protocol which uses QoS goals that match the needs of voice packet delivery in the presence of other background traffic under varied traffic conditions; we present its experimental evaluation via measurements of key QoS metrics such as packet delay, delay variation (jitter) and packet loss ratio. Pursuing our investigation of packet routing in the Internet, we then propose a novel Big Data and Machine Learning approach for real-time Internet scale Route Optimisation based on Quality-of-Service using an overlay network, and evaluate is performance. Based on the collection of data sampled each $2$ minutes over a large number of source-destinations pairs, we observe that intercontinental Internet Protocol (IP) paths are far from optimal with respect to metrics such as end-to-end round-trip delay. On the other hand, our machine learning based overlay network routing scheme exploits large scale data collected from communicating node pairs to select overlay paths, while it uses IP between neighbouring overlay nodes. We report measurements over a week long experiment with several million data points shows substantially better end-to-end QoS than is observed with pure IP routing. Pursuing the machine learning approach, we then address the challenging problem of dispatching incoming tasks to servers in Cloud systems so as to offer the best QoS and reliable job execution; an experimental system (the Task Allocation Platform) that we have developed is presented and used to compare several task allocation schemes, including a model driven algorithm, a reinforcement learning based scheme, and a ``sensible’’ allocation algorithm that assigns tasks to sub-systems that are observed to provide lower response time. These schemes are compared via measurements both among themselves and against a standard round-robin scheduler, with two architectures (with homogenous and heterogenous hosts having different processing capacities) and the conditions under which the different schemes offer better QoS are discussed. Since Cloud systems include both locally based servers at user premises and remote servers and multiple Clouds that can be reached over the Internet, we also describe a smart distributed system that combines local and remote Cloud facilities, allocating tasks dynamically to the service that offers the best overall QoS, and it includes a routing overlay which minimizes network delay for data transfer between Clouds. Internet-scale experiments that we report exhibit the effectiveness of our approach in adaptively distributing workload across multiple Clouds.Open Acces

Evaluation and Investigation of the Delay in VoIP Networks

The paper is focused mainly on the delay problems, which considerably influence the final quality of connections in VoIP (Voice over IP) networks. The paper provides a detailed exploration of the nature and mechanisms of the delay. The main purpose of the investigation was an attempt to formulate a mathematical model of delay in the VoIP network and its subsequent analysis by laboratory data

Role of Wireless technology in mobile augmented reality system (MARS)

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3G migration in Pakistan

The telecommunication industry in Pakistan has come a long way since the country\u27s independence in 1947. The initial era could be fairly termed as the PTCL (Pakistan Telecommunication Company Limited) monopoly, for it was the sole provider of all telecommunication services across the country. It was not until four decades later that the region embarked into the new world of wireless communication, hence ending the decades old PTCL monopoly. By the end of the late 1990\u27s, government support and international investment in the region opened new doors to innovation and better quality, low cost, healthy competition. Wireless licenses for the private sector in the telecommunication industry triggered a promising chain of events that resulted in a drastic change in the telecommunication infrastructure and service profile. The newly introduced wireless (GSM) technology received enormous support from all stakeholders (consumers, regulatory body, and market) and caused a vital boost in Pakistan\u27s economy. Numerous tangential elements had triggered this vital move in the history of telecommunications in Pakistan. Entrepreneurs intended to test the idea of global joint ventures in the East and hence the idea of international business became a reality. The technology had proven to be a great success in the West, while Pakistan\u27s telecom consumer had lived under the shadow of PTCL dominance for decades and needed more flexibility. At last the world was moving from wired to wireless! Analysts termed this move as the beginning of a new era. The investors, telecommunication businesses, and Pakistani treasury prospered. It was a win-win situation for all involved. The learning curve was steep for both operators and consumers but certainly improved over time. In essence, the principle of deploying the right technology in the right market at the right time led to this remarkable success. The industry today stands on the brink of a similar crossroads via transition from second generation to something beyond. With the partial success of 3G in Europe and the USA, the government has announced the release of three 3G licenses by mid 2009. This decision is not yet fully supported by all but still initiated parallel efforts by the operators and the vendors to integrate this next move into their existing infrastructure

MBMS—IP Multicast/Broadcast in 3G Networks

In this article, the Multimedia Broadcast and Multicast Service (MBMS) as standardized in 3GPP is presented. With MBMS, multicast and broadcast capabilities are introduced into cellular networks. After an introduction into MBMS technology, MBMS radio bearer realizations are presented. Different MBMS bearer services like broadcast mode, enhanced broadcast mode and multicast mode are discussed. Streaming and download services over MBMS are presented and supported media codecs are listed. Service layer components as defined in Open Mobile Alliance (OMA) are introduced. For a Mobile TV use case capacity improvements achieved by MBMS are shown. Finally, evolution of MBMS as part of 3GPP standardization is presented

Dimensioning and optimizing mobile networks with performance management system

Tämän diplomityön tarkoituksena oli tutkia suorituskyvyn hallintajärjestelmän käyttöä mobiiliverkkojen mitoituksen ja optimoinnin apuna. Työssä käydään suurpiirteisesti läpi tärkeimmät radioteknologiat ja niiden vaatimukset, sekä erilaiset palvelut, joita ne mahdollistavat. Käsiteltäviä radioteknologioita ovat GSM, GRPS, EDGE, UMTS, HSPA ja pintaa raapaistaan myös seuraavan sukupolven radioteknologioiden ympäriltä. Lisäksi käydään läpi tärkeimmät liityntäverkon siirtoteknologit, eli TDM, ATM, Ethernet, IP ja MPLS, ja selvitetään, miten niissä voidaan välittää palvelunlaatua sekä mitä käyttö- ja kunnossapitomenetelmiä ne mahdollistavat. Itse suorituskyvyn hallinta liittyy olennaisena osana verkonhallintaprosessiin virheen hallinnan sekä muiden OAM-menetelmien ohella. Suorituskykykyselyiden tuloksena voidaan laskea erilaisia suorituskykyindikaattoreita, joita voidaan käyttää erilaisiin verkonhallinnan tarpeisiin. Työssä tutkitaan erityisesti, millaisia suorituskykymittauksia liityntäverkoissa kannattaisi tehdä ja etenkin missä verkon osissa niistä voisi olla hyötyä. Työssä käydään läpi myös erilaisten suorituskyvyn hallintajärjestelmien integraatiota, jota monitasoisissa usean valmistajan verkoissa usein saatetaan tarvita. Itse mitoitus- ja optimointiprosessin yhteydessä selvitetään nimenomaan suorituskyvyn hallintajärjestelmän käyttöä liityntäverkoissa. Samalla selvitetään, mitkä mitoitus- ja optimointiratkaisut saattaisivat sopia liityntäverkkoihin. Valitettavasti työssä esitetään erilaisia mitoitus- ja optimointimenetelmiä varsin suppeasti. Tähän on suurimpana syynä se, ettei operaattorien keskuudessa olla menetelmiä juurikaan käytetty. Näihin päiviin asti operaattoreille on riittänyt pelkästään kapasiteetin lisääminen, mutta uusien ja nopeampien radioteknologioiden myötä se ei tule enää riittämään. Toivottavasti tulevaisuudessa tulemmekin näkemään pitkälle kehittyneitä mitoitus- ja optimointiratkaisuja pitkälle kehittyneiden verkon- ja suorituskyvynhallintajärjestelmien ohella.The purpose of this master's thesis was to investigate the dimensioning and optimizing of the mobile networks with a performance management system. The thesis discusses at the general level the most important radio technologies, their requirements and different services they provide. The radio technologies studied are GSM, GPRS, EDGE, UTMS, HSPA, and the next generation technologies. Additionally, the most important access transport technologies have been discussed; including TDM, ATM, Ethernet, IP and MPLS, and their abilities to deliver quality of service and what operation and maintenance methods they provide. Performance management system is a major component in the network management process, along with fault management and other OAM methods. Various performance indicators can be calculated from the performance queries, and they can be used for the needs of network management. The thesis examines in particular, what kind of performance measurements should be done in the access networks, focusing on what network segments receive the most benefit from it. Also, the thesis studies the implementation of different performance management systems integration, as it is often needed in multi vendor hierarchical networks. The use of performance management systems in access networks is sorted with the dimensioning and optimizing process to discover, what kind of dimensioning and optimizing solutions would fit in the access networks. Unfortunately, there are relatively few solutions in the thesis, because operators have not yet implemented any such methods. To this date, simply adding more capacity has been enough for operators. However, combined with new and faster radio technologies it will no longer be sufficient anymore. Hopefully, in the future we will see highly sophisticated dimensioning and optimizing solutions built into performance management systems