作者: contradict 時間: 2025-3-21 21:08 作者: 音的強弱 時間: 2025-3-22 04:13
1617-7975 ase studies and examples of best practice.Includes learning This book presents a detailed review of high-performance computing infrastructures for next-generation big data and fast data analytics. Features: includes case studies and learning activities throughout the book and self-study exercises in作者: 大包裹 時間: 2025-3-22 05:48
In-Database Processing and In-Memory Analytics,rocessing to the data is the principle advocated by in-database processing, while the in memory focuses on keeping the data completely in memory to increase the processing speed. In this chapter, we will learn and analyze these two and study some use case to improve our understanding.作者: 凹處 時間: 2025-3-22 11:53
High-Performance Grids and Clusters,rids is vastly different. The clusters are generally employed with the locally interconnected systems, whereas grids are employed at a much wider and distributed scale. In this chapter we will learn more about these two interconnected paradigms and study some use cases.作者: 繁重 時間: 2025-3-22 13:34 作者: Incorruptible 時間: 2025-3-22 18:30 作者: Spina-Bifida 時間: 2025-3-22 22:56
High-Performance Computing (HPC) Paradigms, extinct but have surprised the business on how it has evolved with better capabilities to handle real-time data and the so-called big data. This chapter covers all interesting solutions on how mainframe can still be used to provide better client solutions.作者: 光亮 時間: 2025-3-23 03:51
High-Performance Peer-to-Peer Systems,jor theme for high-performance computing. With goals of dynamism, ad hoc collaboration, and cost sharing, these platforms show the following distinguishing traits: decentralization, highly scalability, and low cost of ownership. In this chapter, we learn about the design goals and principles and various commercial and scientific systems available.作者: cajole 時間: 2025-3-23 08:38
Big Data Analytics for Healthcare,nts. In this chapter, we will talk about various market factors affecting healthcare and how big data and analytics can help bring out value from data. We will look into interesting facts about various technology adoptions like IBM Watson and how these new technology adoptions play a vital role in improving the quality of care.作者: 有效 時間: 2025-3-23 12:41
1617-7975 n the use of cluster, grid and cloud computing systems for BDA; reviews the peer-to-peer techniques and tools and the common information visualization techniques, used in BDA.978-3-319-36324-0978-3-319-20744-5Series ISSN 1617-7975 Series E-ISSN 2197-8433 作者: 開始從未 時間: 2025-3-23 16:37 作者: 膽小懦夫 時間: 2025-3-23 18:47
Pethuru Raj,Anupama Raman,Dhivya Nagaraj,Siddhartha Duggirala作者: novelty 時間: 2025-3-23 23:53 作者: Interstellar 時間: 2025-3-24 05:54 作者: FECT 時間: 2025-3-24 09:11
Pethuru Raj,Anupama Raman,Dhivya Nagaraj,Siddhartha Duggirala作者: lacrimal-gland 時間: 2025-3-24 14:19
Book 2015e big data and the latest types of data management systems for BDA; provides information on the use of cluster, grid and cloud computing systems for BDA; reviews the peer-to-peer techniques and tools and the common information visualization techniques, used in BDA.作者: 全部逛商店 時間: 2025-3-24 17:52
ive such as Galactose Binding Lectins, Fucose binding lectins, Mannose-Binding Lectins, Sialic acid-binding lectins, and N-acetyl glucosamine binding lectins. On the basis of sources, they can be classified as plant derived lectins, invertebrate lectins and vertebrate lectins.作者: 裝勇敢地做 時間: 2025-3-24 20:02
Pethuru Raj,Anupama Raman,Dhivya Nagaraj,Siddhartha Duggiralant elements of mammalian adaptive responses and are furnished with several kinds of complex lectin repertoires. Fish lectins are highly diversified and show tissue-specific expression. The diversity of fish lectins are responsible to mediate numerous functions from cell–cell interactions, and also s作者: Innocence 時間: 2025-3-25 02:07 作者: 吊胃口 時間: 2025-3-25 06:04 作者: 細胞學(xué) 時間: 2025-3-25 07:29 作者: ARM 時間: 2025-3-25 12:58
Pethuru Raj,Anupama Raman,Dhivya Nagaraj,Siddhartha Duggiralaen to it) in only a few instances gives us any indication of its role in the ecosystem. The uncertain state of microbial and especially bacterial classical taxonomy (based on isolation techniques and determination of morphology and in vitro biochemical characteristics of isolates) makes determinatio作者: hemoglobin 時間: 2025-3-25 18:34
Pethuru Raj,Anupama Raman,Dhivya Nagaraj,Siddhartha Duggirala xenobiotics is not possible without knowing the taxonomic structure of the natural microflora (Dwyer et al., 1988). On more theoretical grounds, microbial ecology will remain distinct from the ecology of higher organisms as long as the taxonomic structure of the microflora is not clear. The macroec作者: 圓桶 時間: 2025-3-25 20:52
Pethuru Raj,Anupama Raman,Dhivya Nagaraj,Siddhartha Duggiralad so N. fixation in estuaries under N-depleted conditions. A slower growth rate in saline vs. freshwaters is in part a consequence of an inhibition of molybdenum uptake by sulfate; the latter is present in much higher concentrations in seawater. Molybdenum is required for N. fixation using the conve作者: 物質(zhì) 時間: 2025-3-26 01:11 作者: 陪審團 時間: 2025-3-26 08:20
Pethuru Raj,Anupama Raman,Dhivya Nagaraj,Siddhartha DuggiralacontaminationWe have conducted environmental research on the Seine River system since 1989, constructing our major scientific questions in response to the major alterations in the Seine River related to human activities in the basin and to the questions under debate both by national water managers a作者: URN 時間: 2025-3-26 09:31 作者: Obstruction 時間: 2025-3-26 13:47
The Brewing Trends and Transformations in the IT Landscape,nfrastructures need to be very elastic, elegant, and economic. In this chapter, as a precursor for the forthcoming chapters in the book, we would like to throw more light on a set of automation, augmentation, and acceleration accomplishments in the IT field.作者: Arrhythmia 時間: 2025-3-26 20:53 作者: gene-therapy 時間: 2025-3-26 21:46
Big and Fast Data Analytics Yearning for High-Performance Computing,all the delectable advancements in the analytics space these days. In the previous chapter, we have written about a set of sophisticated high-performance technologies and tools in order to speed up the complicated big and fast data analytics. In this chapter, we would like to focus more on the happe作者: IVORY 時間: 2025-3-27 04:07 作者: 最高點 時間: 2025-3-27 05:30 作者: 引導(dǎo) 時間: 2025-3-27 11:58 作者: 枕墊 時間: 2025-3-27 16:22
ins and glycoconjugates. Lectin could be a membrane or soluble PRR that has a pivotal role in recognition and eradication of invading microorganisms. Lectins composed of many proteins that may particularly recognize and bind sugars such as lactose, mannose, galactose, .-acetyl galactosamine, and .-a作者: chance 時間: 2025-3-27 20:58 作者: contrast-medium 時間: 2025-3-28 00:24 作者: 夸張 時間: 2025-3-28 04:48
Pethuru Raj,Anupama Raman,Dhivya Nagaraj,Siddhartha Duggiralanto several families based on their structure, binding specificities, and calcium dependence, such as C-type lectins, I-type lectins, F-type lectins, intelectins, rhamnose binding lectins, galectins, Lily-type lectins, and so on. Innate immunity and disease resistance are known to be aided by lectin作者: Exonerate 時間: 2025-3-28 10:10
Pethuru Raj,Anupama Raman,Dhivya Nagaraj,Siddhartha Duggiralaencast mining activities, and various anthropogenic activities generate and discharge a huge quantity of toxic contaminants that lead to serious pollution problems in the environment through contaminated soil, water, and air. To contend with these problems, we need to develop innovative phytotechnol作者: 摸索 時間: 2025-3-28 12:41 作者: Exhilarate 時間: 2025-3-28 17:57 作者: LIMIT 時間: 2025-3-28 21:15 作者: 教義 時間: 2025-3-29 01:33
Pethuru Raj,Anupama Raman,Dhivya Nagaraj,Siddhartha Duggirala divided into marine (salty) and limnic (usually referring to inland freshwater) environments, and has been studied accordingly as separate disciplines. All microorganisms can regulate their cytoplasm osmolarity to a certain extent. However due to the higher salinity in their habitat, marine microbe作者: 手榴彈 時間: 2025-3-29 03:15 作者: gospel 時間: 2025-3-29 09:18 作者: 扔掉掐死你 時間: 2025-3-29 13:39
The Brewing Trends and Transformations in the IT Landscape,nd tricks; the emergence and evolution of pioneering IT and businesses processes, patterns, platforms, products, and practices; the cool arrival and articulation of fresh and enabling architectural styles; the continued optimization, standardization, and simplification of IT infrastructures to empow作者: daredevil 時間: 2025-3-29 18:44
The High-Performance Technologies for Big and Fast Data Analytics,rld. End users are always delighted with high-performance systems. Performance has been one of the prominent nonfunctional requirements (NFRs) and the leading quality of service (QoS) attribute for any IT-enabled solution to enjoy continued success. Poor application performance causes corporates to 作者: PLE 時間: 2025-3-29 21:11 作者: receptors 時間: 2025-3-30 01:16 作者: Injunction 時間: 2025-3-30 07:08
Storage Infrastructures for High-Performance Big Data Analytics,al universe. It is estimated that Facebook generates roughly about 1 TB of data every day, and most of it is unstructured data. The storage infrastructures like storage area networks (SANs) and network-attached storage (NAS) are not designed to store and process unstructured data. Hence, it is the n作者: impale 時間: 2025-3-30 09:34
Real-Time Analytics Using High-Performance Computing, to take critical business decisions. But today, times have changed and technology has improved, and there is a lot of scope for real-time analytics and business decisions that can be taken with ease. Analytics has brought a totally new era of data and information analysis from which the world is ab作者: 規(guī)范就好 時間: 2025-3-30 15:32
High-Performance Computing (HPC) Paradigms,logy, people expected a dip in mainframe, considering it to be an old iron machine. But mainframes have fought back and proved that they are not still extinct but have surprised the business on how it has evolved with better capabilities to handle real-time data and the so-called big data. This chap作者: 造反,叛亂 時間: 2025-3-30 16:38
In-Database Processing and In-Memory Analytics,or security of users. This is why organizations and governments are in dire need to analyze and understand data. Sometimes analyzing data is not just enough, but the speed of arrival at that insight is also extremely important. This is where the in-database processing and in-memory analytics come in
