標(biāo)題: Titlebook: Cloud Data Management; Liang Zhao,Sherif Sakr,Athman Bouguettaya Book 2014 Springer International Publishing Switzerland 2014 Cloud platfo [打印本頁(yè)] 作者: energy 時(shí)間: 2025-3-21 19:44
書目名稱Cloud Data Management影響因子(影響力)
書目名稱Cloud Data Management影響因子(影響力)學(xué)科排名
書目名稱Cloud Data Management網(wǎng)絡(luò)公開度
書目名稱Cloud Data Management網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Cloud Data Management被引頻次
書目名稱Cloud Data Management被引頻次學(xué)科排名
書目名稱Cloud Data Management年度引用
書目名稱Cloud Data Management年度引用學(xué)科排名
書目名稱Cloud Data Management讀者反饋
書目名稱Cloud Data Management讀者反饋學(xué)科排名
作者: 含糊其辭 時(shí)間: 2025-3-21 22:44 作者: 埋伏 時(shí)間: 2025-3-22 01:34 作者: Diverticulitis 時(shí)間: 2025-3-22 08:01
978-3-319-34776-9Springer International Publishing Switzerland 2014作者: Magnificent 時(shí)間: 2025-3-22 12:47
Liang Zhao,Sherif Sakr,Athman BouguettayaPresents an end-to-end framework for consumer-centric SLA management of cloud-hosted databases.Introduces a novel influence-diagram-based cloud service composition approach.Includes analytical and sim作者: 責(zé)任 時(shí)間: 2025-3-22 15:04 作者: 責(zé)任 時(shí)間: 2025-3-22 20:14 作者: 無(wú)脊椎 時(shí)間: 2025-3-23 00:14 作者: fabricate 時(shí)間: 2025-3-23 02:55
https://doi.org/10.1007/978-3-662-36342-3n 2012. Google estimates that the total number of web pages exceeds one trillion. Every day, Facebook generates more than 25 TB of log data, Twitter generates more than 12 TB of tweets, and the New York Stock Exchange captures 1 TB of trade information. Each minute, 15 h of video are uploaded to You作者: APRON 時(shí)間: 2025-3-23 09:06
Schriftenreihe ?Die Versicherung“e network to reduce the costs associated with the management of hardware and software resources. It represents the long-held dream of envisioning computing as a utility [68] where the economy of scale principles help to effectively drive down the cost of computing resources. Cloud computing simplifi作者: 搜尋 時(shí)間: 2025-3-23 11:50 作者: 痛打 時(shí)間: 2025-3-23 17:01
Schriftenreihe ?Die Versicherung“ding cloud computing resources to their customers. In practice, a typical cloud platform includes a cloud application hosting server in addition to a cloud-hosted data storage service. Many cloud service provides also offer additional services such as customizable load balancing and monitoring tools作者: Jingoism 時(shí)間: 2025-3-23 20:19
Obliegenheiten des Versicherungsnehmers,common feature. NoSQL database as a service has been supported by many service providers that offer various consistency options, from eventual consistency to single-entity ACID. For the service provider, weaker consistency is related to a longer replication delay, and therefore should allow better a作者: ascend 時(shí)間: 2025-3-23 22:52
,Ver?u?erung der versicherten Sache,hip. Resource virtualization technologies add a flexible and programmable layer of software between applications and the resources used by these applications. One among several approaches for deploying data-intensive applications in cloud platforms, called the . approach, takes advantage of virtuali作者: moribund 時(shí)間: 2025-3-24 06:16 作者: overreach 時(shí)間: 2025-3-24 09:45
Rechtspflichten des Versicherungsnehmers,t in the computing architecture and large scale data processing mechanisms. MapReduce is a simple and powerful programming model that enables easy development of scalable parallel applications to process vast amounts of data on large clusters of commodity machines. It isolates the application from t作者: 后退 時(shí)間: 2025-3-24 11:01
Obliegenheiten des Versicherungsnehmers,onal enterprise infrastructure setting. Therefore, the cloud has become an increasingly popular platform for hosting software applications in a variety of domains such as e-retail, finance, news and social networking. Thus, we are witnessing a proliferation in the number of applications with a treme作者: detach 時(shí)間: 2025-3-24 18:29 作者: Rinne-Test 時(shí)間: 2025-3-24 21:28 作者: 手工藝品 時(shí)間: 2025-3-24 23:13 作者: 生存環(huán)境 時(shí)間: 2025-3-25 04:36
Introduction,s of GPS devices sold every year, and the more than 30 million networked sensors currently in use (and growing at a rate faster than 30 percent per year). Modern high-energy physics experiments, such as . [46], typically generate more than one TeraByte of data per day. These data volumes are expected to double every two years over the next decade.作者: 連鎖 時(shí)間: 2025-3-25 08:41 作者: 針葉 時(shí)間: 2025-3-25 15:06
oud service composition approach.Includes analytical and sim.In practice, the design and architecture of a cloud varies among cloud providers. We present a generic evaluation framework for the performance, availability and reliability characteristics of various cloud platforms. We describe a generic作者: 使尷尬 時(shí)間: 2025-3-25 18:15 作者: 針葉類的樹 時(shí)間: 2025-3-25 21:01 作者: tenuous 時(shí)間: 2025-3-26 01:13 作者: DNR215 時(shí)間: 2025-3-26 06:31 作者: Communicate 時(shí)間: 2025-3-26 11:01
Database Replication of NoSQL Database-as-a-Service,common feature. NoSQL database as a service has been supported by many service providers that offer various consistency options, from eventual consistency to single-entity ACID. For the service provider, weaker consistency is related to a longer replication delay, and therefore should allow better a作者: 窩轉(zhuǎn)脊椎動(dòng)物 時(shí)間: 2025-3-26 16:25
Replicating Virtualized Database Servers,hip. Resource virtualization technologies add a flexible and programmable layer of software between applications and the resources used by these applications. One among several approaches for deploying data-intensive applications in cloud platforms, called the . approach, takes advantage of virtuali作者: antiandrogen 時(shí)間: 2025-3-26 19:48
QoS-Aware Service Compositions in Cloud Computing,t are available through the Internet are application services, e.g., flight booking services, hotel booking services. Utility computing services are software or virtualized hardware that support application services, e.g., virtual machines, CPU services, and storage services. Service compositions in作者: Palpable 時(shí)間: 2025-3-26 22:49 作者: exhibit 時(shí)間: 2025-3-27 01:30 作者: defile 時(shí)間: 2025-3-27 05:18
dynamic provisioning of the database tier of the software applications based on application-defined policies for satisfying their own SLA performance requirements, avoiding the cost of any SLA violation and con978-3-319-34776-9978-3-319-04765-2作者: exceptional 時(shí)間: 2025-3-27 12:17 作者: BYRE 時(shí)間: 2025-3-27 15:10 作者: 吊胃口 時(shí)間: 2025-3-27 18:09 作者: FEMUR 時(shí)間: 2025-3-28 00:34
https://doi.org/10.1007/978-3-322-90024-1rvices (i.e. .). The choice among these substitute services is based on their non-functional properties, which are also referred to as Quality of Service (QoS). QoS values of these substitute application services are further dependent on the choices of utility computing services. In a word, once a c作者: 思鄉(xiāng)病 時(shí)間: 2025-3-28 03:23 作者: ITCH 時(shí)間: 2025-3-28 07:53
Obliegenheiten des Versicherungsnehmers, In the previous chapter, we presented an overview of the state-of-the-art of existing technologies for hosting the database tier of software applications in cloud environments. We crystallized the design choices, strengths, weaknesses of each technology. In this chapter, we shed the lights on a set作者: curettage 時(shí)間: 2025-3-28 12:14 作者: Allergic 時(shí)間: 2025-3-28 17:00
Cloud-Hosted Data Storage Systems,he recent advancements and the state-of-the-art of Web scale data management approaches. We discuss the advantages and the disadvantages of several recently introduced approaches and its suitability to support certain class of applications and end-users.作者: 階層 時(shí)間: 2025-3-28 22:16 作者: Insatiable 時(shí)間: 2025-3-28 23:54
QoS-Aware Service Compositions in Cloud Computing,rvices (i.e. .). The choice among these substitute services is based on their non-functional properties, which are also referred to as Quality of Service (QoS). QoS values of these substitute application services are further dependent on the choices of utility computing services. In a word, once a c作者: Genistein 時(shí)間: 2025-3-29 03:04 作者: Chipmunk 時(shí)間: 2025-3-29 10:25
Conclusions, In the previous chapter, we presented an overview of the state-of-the-art of existing technologies for hosting the database tier of software applications in cloud environments. We crystallized the design choices, strengths, weaknesses of each technology. In this chapter, we shed the lights on a set
