Risk-based capital measures for operational risk management

(MMOGs) can include millions of concurrent players spread across the world. To keep these highly-interactive virtual environments online, a MMOG operator may need to provision tens of thousands of computing resources from various data centers. Faced with large resource demand variability, and with misfit resource renting policies, the current industry practice is to maintain for each game tens of self-owned data centers. In this work we investigate the dynamic resource provisioning from external data centers for MMOG operation. We introduce a novel MMOG workload model that represents the dynamics of both the player population and the player interactions. We evaluate several algorithms, including a novel neural network predictor, for predicting the resource demand. Using trace-based simulation, we evaluate the impact of the data center policies on the resource provisioning efficiency; we show that dynamic provisioning can be much more efficient than its static alternative. I.

FD-buffer: a buffer manager for databases on flash disks.

Sensor network software update management: a survey By Chih-Chieh Han, Ram Kumar, Roy Shea and Mani Srivastava*,† Software management is a critical task in the system administration of enterprise-scale networks. Enterprise-scale networks that have traditionally comprised of large clusters

Abstract: Handling, disposal and impacts of existing Solid Waste Management (SWM) system in Higher Education Institutions (HEIs) of Puducherry Region have not been well documented. The current article discusses the importance of waste stream analysis with special reference to the residential waste

ABSTRACT The need to intensify agricultural production due to a growing human population requires closing yield gaps. In 2009 and 2010, five agronomic management factors were assessed for their individual and cumulative contributions to reducing the corn (Zea mays L.) yield gap as well as yield

Abstract 19 Stratospheric ozone recovery and increasing greenhouse gases are anticipated to have a large 20 impact on the Southern Hemisphere extratropical circulation, shifting the jet stream and 21 associated storm tracks. Models participating in the Coupled Model Intercomparison Project 22 Phase

then extend this approach to the collaborative case, where a set of simultaneously coded signals share the same sparsity pattern at the higher (group) level, but not necessarily at the lower (inside the group) level, obtaining the collaborative HiLasso model (C-HiLasso). Such signals then share the same

dramatically, often to levels that represent a small fraction of the peak (Francis 1986). If the fishery expands beyond the effort producing maximum sustained yield (MSY), stocks can be quickly and seriously overfished. Recovery to a level supporting MSY can take many

First, I would like to thank to Dimka Karastoyanova and Mariano Cilia for all the fruitful discussions, their guidance and support through the course of this project. Thanks also to Prof. Alejandro Buchmann who sponsored my stay at Technische Universität Darmstadt during the spring of 2004. The special thanks go to my advisor, Mariano Cilia, who has made all this possible. Finally, I’d like to thank to my family for all these years of support.