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.

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.

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.