Modelling and Performance Analysis of OpenFlow Switches in Software-Defined Networking

<p>Software-Defined-Networking (SDN) simplifies the configuration complexity in the computer communication network by decoupling the control plane from the data plane in a switch. In SDN, the switch has the data plane only and is configured by the logically centralised controller which simplifies the forwarding of packets in the network. However, an SDN switch is sensitive to delay and loss of packets which significantly affects the network performance. This thesis uses queueing theory to conduct modelling and performance analysis of OpenFlow-based SDN switches. OpenFlow is the de-facto protocol for communication between an SDN switch and the controller. Using queueing theory, three aspects of packet processing in an SDN switch are explored. First, the existing research has primarily modelled the output buffer of an SDN switch using two buffer sharing mechanisms: the single shared buffer and the priority buffer. However, the effect of buffer dimensioning in these buffer sharing mechanisms has not been investigated. Buffer dimensioning helps in determining the minimum buffer capacity for a desired loss probability. The research in this thesis shows that the use of priority buffer in an SDN switch reduces the time to update flow tables than the shared buffer but at the cost of a higher buffer capacity. Second, much of the existing research has not investigated the impact of internal buffering of data packets whereby a fraction of a data packet header is sent to the controller instead of an entire data packet. To investigate the impact of internal buffering, the queueing model for an SDN switch with the internal buffer is developed. The investigation shows that at the time of congestion, the internal buffer in an SDN switch improves the network performance with lower delay and lower packet loss. Finally, existing research has focused on a software switch in SDN and very little research has studied the performance of a hardware switch. To characterise the performance of SDN-based hardware and software switches and identify the tradeoffs between them, a unified queueing model has been developed. The unified queueing model is an analytical tool for network engineers to predict delay and packet loss in their SDN deployments. The analysis shows the benefits of a hardware switch over a software switch. These benefits are lower delay and lower packet loss. However, the increasing involvement of the controller reduces the benefit of using a hardware switch, i.e. forwarding packets at the line speed rate. This research guides network designers and analysts in the selection of the shared or buffer model for an SDN switch for their desired Quality of Service (QoS). Furthermore, the developed queueing model for an SDN switch with the internal buffer studies the impact of internal buffering in an SDN switch. Finally, the unified queueing model helps in the selection of a software or hardware switch in SDN.</p>

Modelling and Performance Analysis of OpenFlow Switches in Software-Defined Networking

<p>Software-Defined-Networking (SDN) simplifies the configuration complexity in the computer communication network by decoupling the control plane from the data plane in a switch. In SDN, the switch has the data plane only and is configured by the logically centralised controller which simplifies the forwarding of packets in the network. However, an SDN switch is sensitive to delay and loss of packets which significantly affects the network performance. This thesis uses queueing theory to conduct modelling and performance analysis of OpenFlow-based SDN switches. OpenFlow is the de-facto protocol for communication between an SDN switch and the controller. Using queueing theory, three aspects of packet processing in an SDN switch are explored. First, the existing research has primarily modelled the output buffer of an SDN switch using two buffer sharing mechanisms: the single shared buffer and the priority buffer. However, the effect of buffer dimensioning in these buffer sharing mechanisms has not been investigated. Buffer dimensioning helps in determining the minimum buffer capacity for a desired loss probability. The research in this thesis shows that the use of priority buffer in an SDN switch reduces the time to update flow tables than the shared buffer but at the cost of a higher buffer capacity. Second, much of the existing research has not investigated the impact of internal buffering of data packets whereby a fraction of a data packet header is sent to the controller instead of an entire data packet. To investigate the impact of internal buffering, the queueing model for an SDN switch with the internal buffer is developed. The investigation shows that at the time of congestion, the internal buffer in an SDN switch improves the network performance with lower delay and lower packet loss. Finally, existing research has focused on a software switch in SDN and very little research has studied the performance of a hardware switch. To characterise the performance of SDN-based hardware and software switches and identify the tradeoffs between them, a unified queueing model has been developed. The unified queueing model is an analytical tool for network engineers to predict delay and packet loss in their SDN deployments. The analysis shows the benefits of a hardware switch over a software switch. These benefits are lower delay and lower packet loss. However, the increasing involvement of the controller reduces the benefit of using a hardware switch, i.e. forwarding packets at the line speed rate. This research guides network designers and analysts in the selection of the shared or buffer model for an SDN switch for their desired Quality of Service (QoS). Furthermore, the developed queueing model for an SDN switch with the internal buffer studies the impact of internal buffering in an SDN switch. Finally, the unified queueing model helps in the selection of a software or hardware switch in SDN.</p>

The Human Impact on Changes in the Forest Range of the Silesian Beskids (Western Carpathians)

Changes in forest range are caused by human activity in many regions of the world. The aim of this paper is an attempt to determine the impact of pastoral and forest management on changes in forest cover and their fragmentation in the Silesian Beskids (southern Poland) in 1848–2015. Historical maps and landscape metrics were used to study changes in forest cover. Using a digital map of forests, analyses of the distribution of forest communities, site types and their condition were conducted. Since 1848 the forest area has increased by 11.8%, while the area of forest core zones has increased by 16.2%, accompanied by a 4.5% reduction in the forest’s internal buffer zone. From the mid-nineteenth century, the forest range has been systematically growing from 82.1 to 93.9% because of the pastureland abandonment and forest regeneration, despite temporary logging resulting in forest fragmentation. Minor changes in core area index (CAI) from 80.41 to 87.55 indicate that pastoral economy did not result in considerable fragmentation of forests. The impact of forest management was greater as the sites characterised by natural condition occupy only 28% of the forest land and anthropogenically transformed ones dominate occupying over 50%. An artificial spruce monoculture was died-off and large felling areas were created at the beginning of the twenty-first century covering almost 40% of the study area.

Organic and inorganic whole system metabolism in two acidified coastal systems in Ireland

&lt;p&gt;Organic and inorganic whole system metabolism for two Irish coastal areas were compared to evaluate carbonate system resilience to acidification. The two systems are characterized by contrasting watershed input types and composition. Kinvara Bay is fed by Submarine Groundwater Discharge (SGD) derived from a karstic catchment while Killary Harbour is fed by river discharge draining a siliciclastic catchment. Freshwater sources to sea have distinct Total Alkalinity (TA) and Dissolved Inorganic Carbon (DIC) concentrations, higher and lower than the open ocean, respectively, but both evidence seasonally variable low pH, ranging from 6.20 to 7.50. Retention of TA and DIC was calculated for the two areas using LOICZ methodology. In Kinvara bay, annually averaged retention of DIC was greater than for TA (5 &amp;#215; 10&lt;sup&gt;4&lt;/sup&gt; and 1.5 &amp;#215; 10&lt;sup&gt;5&lt;/sup&gt; mol d&lt;sup&gt;-1&lt;/sup&gt;), suggesting the system is acidifying further. Conversely, Killary Harbour shows negative TA and DIC retention, with DIC:TA &lt;1, suggesting an internal buffer against ocean acidification is operating.&lt;/p&gt;&lt;p&gt;Net Community Production (NCP) was calculated for both systems using Dissolved Oxygen data. Subsequently, we estimated Net Community Calcification (NCC) from the ratio between TA and DIC. NCP was always positive in Killary Harbour with an average of 318 mmol O&lt;sub&gt;2&lt;/sub&gt; m&lt;sup&gt;-2 &lt;/sup&gt;d&lt;sup&gt;-1&lt;/sup&gt; (equivalent to 89 mol C m&lt;sup&gt;-2&lt;/sup&gt; y&lt;sup&gt;-1&lt;/sup&gt;). However, Kinvara Bay shows relatively lower positive NCP in spring and summer (average of 46 mmol O&lt;sub&gt;2&lt;/sub&gt; m&lt;sup&gt;-2&lt;/sup&gt; d&lt;sup&gt;-1&lt;/sup&gt;), but negative NCP in autumn and winter. Therefore, Kinvara Bay&amp;#8217;s Total Organic Carbon (TOC) production was low, at ~21 g m&lt;sup&gt;-2&lt;/sup&gt; y&lt;sup&gt;-1&lt;/sup&gt; and not enough to overcome acidification driven by the SGD source composition. These results emphasize the complexity of interactions between the drivers of coastal acidification rate, affecting our ability to accurately assess the resilience of the carbonate system in these areas to ocean acidification pressure in the future.&lt;/p&gt;

Effects Analysis of Internal Buffers in Serial Manufacturing Systems for Optimal Throughput

Buffers can improve the efficiency of manufacturing systems by accommodating the negative impacts of machine stoppage and maximize the system throughput. Buffers are often designed and integrated into manufacturing systems. This study investigates the effects of small internal buffers on the throughput of serial manufacturing systems using discrete-event simulation (DES). For a serial manufacturing system, its internal buffer can be designed as an idle station or a small conveyor. In the study, typical automotive assembly lines are used as serial manufacturing systems. In addition, the capacity of a small internal buffer and two small buffers are studied for optimal throughput. The study results provide a general approach on where to assign small internal buffers in serial manufacturing systems and what the effects of such buffers and their configurations are.

The Effect of Buffers on Weak Acid Uptake by Vesicles

The assessment of weak acid membrane permeability (Pm) frequently involves large unilamellar vesicles. It relies on measurements of the intravesicular pH drop, ΔpHin, in response to a sudden augmentation of external acid concentration. However, ΔpHin may be primarily governed by non-instantaneous protonation and deprotonation reactions of (i) the acid itself, (ii) the buffer molecules, and (iii) the fluorescent pH reporter dye. Moreover, buffer concentration and acid gradient also serve as determinants of ΔpHin, as we show here. The uniexponential time constant (τ) of ΔpHin(t) is an invalid measure of Pm as Arrhenius plots of Pm and τ reveal different activation energies for acid influx. We calculate Pm by fitting a mathematical model to experimental stopped-flow traces. The model takes into account not only the time course of total internal buffer capacity but also (i) water self-dissociation, (ii) volume changes due to acid induced osmotic water flow, and (iii) the spontaneous membrane proton leak. It allows extracting a Pm of 30.8±3.5 µms for formic acid for 1,2-dioleoyl-sn-glycero-3-phosphocholine (DOPC) vesicles.