On the Viability of Microservers for Financial Analytics

Energy consumption and total cost of ownership are daunting challenges for Datacenters, because they scale disproportionately with performance. Datacenters running financial analytics may incur extremely high operational costs in order to meet performance and latency requirements of their hosted applications. Recently, ARM-based microservers have emerged as a viable alternative to high-end servers, promising scalable performance via scale-out approaches and low energy consumption. In this paper, we investigate the viability of ARM-based microservers for option pricing, using the Monte Carlo and Binomial Tree kernels. We compare an ARM-based microserver against a state-of-the-art x86 server. We define application-related but platform-independent energy and performance metrics to compare those platforms fairly in the context of datacenters for financial analytics and give insight on the particular requirements of option pricing. Our experiments show that through scaling out energyefficient compute nodes within a 2U rack-mounted unit, an ARM-based microserver consumes as little as about 60% of the energy per option pricing compared to an x86 server, despite having significantly slower cores. We also find that the ARM microserver scales enough to meet a high fraction of market throughput demand, while consuming up to 30% less energy than an Intel server

Beyond Financialisation? Transformative Strategies for More Sustainable Financial Markets in the European Union

The global financial crisis has led many regulators and lawmakers to a rethinking about current versus optimum financial market structures and activities that include a variety and even radical ideas about delevaraging and downsizing finance. This paper focuses on the flaws and shortcomings of regulatory reforms of finance and on the necessity of and scope for more radical transformative strategies. With 'crisis economics' back, the most developed countries, including the EU member states, are still on the edge of disaster and confronted with systemic risk. Changes in financial regulation adopted in the aftermath of the financial meltdown have not been radical enough to transform the overall system of finance-driven capitalism towards a more sustainable system with a more embedded finance. The paper discusses financialisation in order to understand the development trends in finance over the past decades and examines various theories to describe the typical trends and patterns in financial regulation. By focusing on a limited number of regulatory reforms in the European Union, the limitations of current reforms and the need for additional transformative strategies necessary to overcome the finance-driven accumulation regime are explored. Finally, the regulatory space for such transformative strategies and for taming finance in times of crisis, austerity, and increased public protest potential is analysed.

Assembling a consistent set of sentences in relational probabilistic logic with stochastic independence

We examine the representation of judgements of stochastic independence in probabilistic logics. We focus on a relational logic where (i) judgements of stochastic independence are encoded by directed acyclic graphs, and (ii) probabilistic assessments are flexible in the sense that they are not required to specify a single probability measure. We discuss issues of knowledge representation and inference that arise from our particular combination of graphs, stochastic independence, logical formulas and probabilistic assessments.

Propositional and Relational Bayesian Networks Associated with Imprecise and Qualitative Probabilistic Assessments

This paper investigates a representation language with flexibility inspired by probabilistic logic and compactness inspired by relational Bayesian networks. The goal is to handle propositional and first-order constructs together with precise, imprecise, indeterminate and qualitative probabilistic assessments. The paper shows how this can be achieved through the theory of credal networks. New exact and approximate inference algorithms based on multilinear programming and iterated/loopy propagation of interval probabilities are presented; their superior performance, compared to existing ones, is shown empirically.

Docking the value of pigmeat? Prevalence and financial implications of welfare lesions in Irish slaughter pigs.

Expansion of the meat inspection process to incorporate animal-based welfare measurements could contribute towards significant improvements in pig (Sus scrofa domesticus) welfare and farm profitability. This study aimed to determine the prevalence of different welfare-related lesions on the carcase and their relationship with carcase condemnations (CC) and carcase weight (CW). The financial implications of losses associated with CC and CW reductions related to the welfare lesions were also estimated. Data on tail lesions, loin bruising and bursitis, CW and condemnation/trimming outcome (and associated weights) were collected for 3,537slaughter pigs (mean [± SEM] carcase weight: 79.2 [± 8.82] kg). Overall, 72.5% of pigs had detectable tail lesions, whilst 16.0 and 44.0% were affected by severe loin bruising and hind limb bursitis, respectively. There were 2.5% of study carcases condemned and a further 3.3% were trimmed. The primary cause of CC was abscessation. While tail lesion severity did not increase the risk of abscessation, it was significantly associated with CC. Male pigs had a higher risk of tail lesions and of CC. The financial loss to producers associated with CC and trimmings was estimated at €1.10 per study pig. CW was reduced by up to 12 kg in cases of severe tail lesions. However, even mild lesions were associated with a significant reduction in CW of 1.2 kg. The value of the loss in potential CW associated with tail lesions was €0.59 per study pig. Combined with losses attributable to CC and trimmings this represented a loss of 43% of the profit margin per pig, at the time of the study, attributable to tail biting. These findings illustrate the magnitude of the impact of tail biting on pig welfare and on profitability of the pig industry. They also emphasise the potential contribution that the inclusion of welfare parameters at meat inspection could make to pig producers in informing herd health and welfare management plans.

Financial reintegration assistance for veterans of the Irish revolution (1916-23): post-conflict policy in an historical setting

In the aftermath of the Irish revolution and Civil War the governments of independent Ireland introduced various compensation schemes to provide financial reintegration assistance to revolutionary veterans. This would be recognised today as part of a programme for DDR. This paper will examine various service and disability pensions paid to veterans in the context of literature on post-conflict reintegration. It will examine various challenges to reintegration in an effort to analyse the success of revolutionary compensation as a post-conflict reintegration mechanism in independent Ireland after 1922.

Extending Customer Relationship Management into a Social Context

Informed by the resource-based view, this study draws on customer relationship management (CRM) and value co-creation literature to develop a framework examining the impact of social networking sites on processes to manage customer relationships. Facilitating the depth and networked interactions necessary to truly engage customers, social networking sites act as a means of enhancing customer relationships through the co-creation of value, moving CRM into a social context. Tested and validated on a data set of hotels, the main contribution of the study to service research lies in the extension of CRM processes, termed relational information processes, to include value co-creation processes due to the social capabilities afforded by social networking sites. Information technology competency and social media orientation act as critical antecedents to these processes, which have a positive impact on both financial and non-financial aspects of firm performance. The theoretical and managerial implications of these findings are discussed accordingly.

Reconstructing ethical conduct within financial firms

This chapter explores whether ethical cultures can be created within a financial market context. Ongoing regulatory and legal actions, and press coverage of these, suggest that a definition of ethical problems in terms of ‘rogue traders’ and ‘bad apples’ would be inadequate, since entire business areas have been resorting to collusive illegal behaviour. The concept of ‘bad barrels’ seems to capture the situation rather better: the culture of firms fails to discourage transgression and indeed supports it. Unpacking the links between regulatory objectives and the cultural settings of firms and their employees, this chapter questions the chances of success of measures such as enhanced controls on individuals and restructured reward mechanisms. Financial firms typically have very flat, nodal structures, within which traders conceptualise themselves as an elite, in contrast to back office staff and also in contrast to managers. Traders’ functions and their occupational mobility mean that their linkages and attachments may be much stronger with others outside ‘their’ firm than their firm and those within it. Performance, camaraderie and their linkages are important in all work situations, yet all the more so for traders in financial markets. Thus, whether regulators and senior management combine to send a clear and consistent message to traders – or whether the logic of the financial marketplace leads some firms to continue send conflicting or ambivalent messages to them – misconduct is likely to continue to be a tough nut to crack.

Methods and Metrics for Fair Server Assessment under Real-Time Financial Workloads

We present a rigorous methodology and new metrics for fair comparison of server and microserver platforms. Deploying our methodology and metrics, we compare a microserver with ARM cores against two servers with ×86 cores running the same real-time financial analytics workload. We define workload-specific but platform-independent performance metrics for platform comparison, targeting both datacenter operators and end users. Our methodology establishes that a server based on the Xeon Phi co-processor delivers the highest performance and energy efficiency. However, by scaling out energy-efficient microservers, we achieve competitive or better energy efficiency than a power-equivalent server with two Sandy Bridge sockets, despite the microserver's slower cores. Using a new iso-QoS metric, we find that the ARM microserver scales enough to meet market throughput demand, that is, a 100% QoS in terms of timely option pricing, with as little as 55% of the energy consumed by the Sandy Bridge server.