230 research outputs found
A dynamic middleware to integrate multiple cloud infrastructures with remote apllications
No full textIn an era with compelling need for greater computation power, the aggregation of software system components is becoming more challenging and diverse. The new-generation scientific applications are growing hub of complex and intense computation performed on huge data set with exponential growth. With the development of parallel algorithms, design of multi-user web applications and frequent changes in software architecture, there is a bigger challenge lying in front of the research institutes and organizations. Network science is an interesting field posing extreme computation demands to sustain complex large-scale networks. Several static or dynamic network analysis have to be performed through algorithms implementing complex graph theories, statistical mechanics, data mining and visualization. Similarly, high performance computation infrastructures are imbibing multiple characters and expanding in an unprecedented way. In this age, it's mandatory for all software solutions to migrate to scalable platforms and integrate cloud enabled data center clusters for higher computation needs.
So, with aggressive adoption of cloud infrastructures and resource-intensive web-applications, there is a pressing need for a dynamic middleware to bridge the gap and effectively coordinate the integrated system. Such a heterogeneous environment encourages the devising of a transparent, portable and flexible solution stack. In this project, we propose adoption of Virtual Machine aware Portable Batch System Cluster (VM-aware PBS Cluster), a self-initiating and self-regulating cluster of Virtual Machines (VM) capable of operating and scaling on any cloud infrastructure. This is an unique but simple solution for large-scale softwares to migrate to cloud infrastructures retaining the most of the application stack intact. In this project, we have also designed and implemented Cloud Integrator Framework, a dynamic implementation of cloud aware middleware for the proposed VM-aware PBS cluster. This framework regulates job distribution in an aggregate of VMs and optimizes resource consumption through on-demand VM initialization and termination. The model was integrated into CINET system, a network science application. This model has enabled CINET to mediate large-scale network analysis and simulation tasks across varied cloud platforms such as OpenStack and Amazon EC2 for its computation requirements.Master of Scienc
One-Pot Oxidation of Alanine and Its Ethyl Ester with a Mild Oxidant 4′-Methylazobenzene-2-sulfenyl Bromide
No full textChemInform Abstract: One‐Pot Oxidation of Alanine and Its Ethyl Ester with a Mild Oxidant 4′‐Methylazobenzene‐2‐sulfenyl Bromide.
No full textLPWAN Performance Enhancement for IoT in the Smart Grid
No full textWith the proliferation of IoT devices across the globe, the adoption of IoT related technologies has been increasing rapidly. Newer technologies which fall in the category of Low Power Wide Area Network (LPWAN) have increased this adoption even further. A lot of research is being done in LPWAN licensed band as well as unlicensed band technologies to make them more efficient, such as in terms of power consumption and latency. In this thesis the author has focused on cellular IoT technologies (licensed spectrum LPWAN technologies), to improve the end-to-end behavior. The focus is to see and improve the effect of the device on the network behavior. We have done tests on different networks and went through the 3GPP Specification Release 14 to find possible areas of improvement. Keeping this in mind we have designed a solution to increase the number of pageable devices that can be maintained by the network compared to its original capacity (when not using our solution). This solution can be used to optimize as per the use case, whether to provide lower latency or save energy consumption of the device. To verify that the solution can be used in real life, we have tested it with Stedin critical application device in their substation.Electrical Engineering | Embedded System
Understanding Interactions in Social Networks and Committees
No full textWhile much of the literature on cross section dependence has fo?cused mainly on estimation of the regression coefficients in the under?lying model, estimation and inferences on the magnitude and strength of spill-overs and interactions has been largely ignored. At the same time, such inferences are important in many applications, not least because they have structural interpretations and provide useful inter?pretation and structural explanation for the strength of any interac?tions. In this paper we propose GMM methods designed to uncover underlying (hidden) interactions in social networks and committees. Special attention is paid to the interval censored regression model. Our methods are applied to a study of committee decision making within the Bank of England¡¯s monetary policy committee.Committee Decision Making, Social Networks, Cross Section and Spatial Interaction, Generalised Method of Moments, Censored Regression Model, Expectation-Maximisation Algorithm, Monetary Policy, Interest Rates.
COVID-19 and persistence in the stock market: a study on a leading emerging market
No full textData availability:
The data that support the findings of this study are available from the corresponding author upon reasonable request.In this study, we examine how sectors of the National Stock Exchange from India respond to the uncertainties introduced by the COVID-19 pandemic. By examining the synchronization between the sector-specific and overall market index (NIFTY 50) reaction to COVID-19, we contribute to the inconclusive ongoing academic literature regarding the impact of COVID-19 on the stock market, especially in the context of persistence in an emerging market. To analyze the persistence of sectoral indices, we apply multifractal detrended fluctuation analysis (MFDFA). We use the generalized Hurst exponent and singularity spectrum as indicators for persistence and spectral width as a measure of volatility. Our analysis shows that the sample sectoral indices are persistent before and after the announcement of COVID-19; however, volatility in some sectors reduces post-announcement of COVID-19. The findings will enrich the academic literature on the relationship between sector-specific and overall market indexes. In practice, the paper will guide investors to organize their portfolios, especially during future economic uncertainty
ChemInform Abstract: One‐Pot, Catalyst‐Free, Facile, and Efficient Sulfenylation of Electron‐Rich Substrates with a Mild Sulfenium Carrier Azobenzene‐2‐sulfenyl Bromide.
No full text1-Benzylsulfanyl-2-[(2-chlorophenyl)diazenyl]benzene
No full textThe title compound, C19H15ClN2S, a divalent organosulfur compound belonging to the class of ortho-mercaptoazo compounds, is non-ionic in nature. The azo group in the molecule is moved away from the S atom to attain the stable trans-azo configuration. Here the S atom is not electron deficient, so no intramolecular N...S interaction exists. Due to steric reasons, the molecule is non-planar: the chlorophenyl and benzyl rings are oriented at dihedral angles of 3.21 (8) and 78.18 (5)°, respectively, with respect to the thiophenyl ring. There are no hydrogen bonds and the crystal structure is stabilized by van der Waals interactions
Architectural Support for Address Translation on GPUs
No full textThe proliferation of heterogeneous compute platforms, of which CPU/GPU is a prevalent example, necessitates a manageable programming model to ensure widespread adoption. A key component of this is a shared unified address space between the heterogeneous units to obtain the programmability benefits of virtual memory. Indeed, processor vendors have already begun embracing heterogeneous systems with unified address spaces (e.g., Intel’s Haswell, AMD’s Berlin processor, and ARM’s Mali and Cortex cores). We are the first to explore GPU Translation Lookaside Buffers (TLBs) and page table walkers for address translation in the context of shared virtual memory for heterogeneous systems. To exploit the programmability benefits of shared virtual memory, it is natural to consider mirroring CPUs and placing TLBs prior (or parallel) to cache accesses,
making caches physically addressed. We show the performance challenges of such an approach and propose modest hardware augmentations to recover much of this lost performance.We then consider the impact of this approach on the design of general purpose GPU performance improvement schemes. We look at: (1) warp scheduling to increase cache hit rates; and (2) dynamic warp formation to mitigate control flow divergence overheads. We show that introducing cache-parallel address translation does pose challenges, but that modest optimizations can buy back much of this lost performance. Overall, this paper explores address translation mechanisms on GPUs. While cache-parallel address translation does introduce non-trivial performance overheads, modestly TLB-aware designs can move overheads into a range deemed acceptable in the CPU world (5-15% of runtime). We presume this initial design leaves room for improvement but hope the larger result, that a little TLB-awareness goes a long way in GPUs, spurs future work in this fruitful area.Technical report DCS-TR-70
Author Experiences with the IS Journal Review Process
No full textResearch publication in peer-reviewed journals is an important avenue for knowledge dissemination. However, information on journal review process metrics are often not available to prospective authors, which may preclude effective targeting of their research work to appropriate outlets. We study these metrics for information systems (IS) researchers through a survey of actual author experiences of the IS journal review process. Our results provide a knowledge base of the length and quality of the review process in various journals; responsiveness of the journal office and publication delay; and correlations of metrics with published studies of journal rankings. The data should enable authors to make effective submission decisions, as well as help to benchmark journal review processes among competing journals
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