標(biāo)題: Titlebook: Algorithmic Aspects of Cloud Computing; Third International Dan Alistarh,Alex Delis,George Pallis Conference proceedings 2018 Springer Int [打印本頁] 作者: Abridge 時間: 2025-3-21 16:50
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書目名稱Algorithmic Aspects of Cloud Computing影響因子(影響力)學(xué)科排名
書目名稱Algorithmic Aspects of Cloud Computing網(wǎng)絡(luò)公開度
書目名稱Algorithmic Aspects of Cloud Computing網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Algorithmic Aspects of Cloud Computing被引頻次
書目名稱Algorithmic Aspects of Cloud Computing被引頻次學(xué)科排名
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書目名稱Algorithmic Aspects of Cloud Computing讀者反饋
書目名稱Algorithmic Aspects of Cloud Computing讀者反饋學(xué)科排名
作者: 魔鬼在游行 時間: 2025-3-21 20:51
978-3-319-74874-0Springer International Publishing AG 2018作者: overture 時間: 2025-3-22 01:09
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/152902.jpg作者: DAMP 時間: 2025-3-22 04:41
David Gontier,Jianfeng Lu,Christoph Ortnerrformance scientific domain, datacenters consist of low-cost servers for high-volume data processing, communication and storage. Datacenter owners prioritize capital and operating costs (often measured in performance per watt) over ultimate performance.作者: 楓樹 時間: 2025-3-22 12:40
Eduardo V. Lude?a,Roberto López-Boadaomputing infrastructure. This paper initiates the algorithmic study of the fundamental underlying problem of how to efficiently route traffic through a given set of Virtualized Network Functions (VNFs). We are given a link-capacitated network ., a source-destination pair . and a set of waypoints . (作者: 強所 時間: 2025-3-22 14:09 作者: Ancillary 時間: 2025-3-22 20:59 作者: Supplement 時間: 2025-3-23 01:05
https://doi.org/10.1007/3-540-61132-0 much harder due to the dynamic nature of the workload and the fact that while long term statistics about the demand may be known, it is impossible to predict the exact demand in each point in time. As a result, service providers either over allocate resources and hurt the service cost efficiency, o作者: gregarious 時間: 2025-3-23 05:19
https://doi.org/10.1007/3-540-61131-2g and storage engines, each featuring different models in computation, storage and execution as well as performance. Multi-Engine Analytics present a solution towards adaptive, cost-based complex workflow scheduling to the best available underlying technology. To achieve this in the Graph Analytics 作者: 斜坡 時間: 2025-3-23 05:52
https://doi.org/10.1007/3-540-61131-2se works aim to incorporate such information in a meaningful way in the computation of queries. In this paper, we propose a framework of query evaluation in the presence of uncertainty, based on probabilistic automata, which are simple yet efficient computational models. We showcase this method on r作者: prolate 時間: 2025-3-23 10:10 作者: 青石板 時間: 2025-3-23 14:38 作者: 金絲雀 時間: 2025-3-23 21:52 作者: 相同 時間: 2025-3-24 01:38
Algorithmic Aspects of Cloud Computing978-3-319-74875-7Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 開花期女 時間: 2025-3-24 06:18 作者: PATHY 時間: 2025-3-24 07:27 作者: Phonophobia 時間: 2025-3-24 14:27 作者: 可用 時間: 2025-3-24 15:21
https://doi.org/10.1007/BFb0016641d for this request. In addition, each pair of server and VNF is associated with a cost for placing the VNF in the server. Given a request, the goal is to find a valid service chain of minimum total cost that respects the latency constraint or to identify that such a service chain does not exist..We 作者: 新鮮 時間: 2025-3-24 20:52
Relativistic density functional theory,rithm. When we assume the triangle inequality only among servers, we propose a polynomial-time 2-approximation algorithm. Both of the algorithms are tight in the sense that we cannot obtain better polynomial-time approximation algorithms unless . = .. Furthermore, we evaluate the practical performan作者: 容易生皺紋 時間: 2025-3-25 01:36 作者: Angiogenesis 時間: 2025-3-25 06:10
https://doi.org/10.1007/978-94-011-0487-6em that automatically decides on the appropriate amount of resources to be provisioned for each node of the Storm workflow topology based on user-defined performance and cost constraints. ARiSTO employs two mechanisms: a ., model-based one, used at bootstrap time to predict the resource-related para作者: 混合 時間: 2025-3-25 10:32 作者: 落葉劑 時間: 2025-3-25 13:52
Tight Approximability of the Server Allocation Problem for Real-Time Applicationsrithm. When we assume the triangle inequality only among servers, we propose a polynomial-time 2-approximation algorithm. Both of the algorithms are tight in the sense that we cannot obtain better polynomial-time approximation algorithms unless . = .. Furthermore, we evaluate the practical performan作者: BALK 時間: 2025-3-25 16:19 作者: 尊重 時間: 2025-3-25 20:59
Automatic Scaling of Resources in a Storm Topologyem that automatically decides on the appropriate amount of resources to be provisioned for each node of the Storm workflow topology based on user-defined performance and cost constraints. ARiSTO employs two mechanisms: a ., model-based one, used at bootstrap time to predict the resource-related para作者: 惡臭 時間: 2025-3-26 00:33 作者: 高興一回 時間: 2025-3-26 07:54 作者: panorama 時間: 2025-3-26 11:25
Service Chain Placement in SDNswork that contains servers with limited processing power and of links with limited bandwidth, a service chain is a sequence of virtual network functions (VNFs) that service a certain flow request in the network. The allocation of a service chain consists of routing and VNF placement, namely each VNF作者: curriculum 時間: 2025-3-26 14:14
Tight Approximability of the Server Allocation Problem for Real-Time Applications a set of users and a set of servers. Then, we consider the following communication process between users and servers. First a user sends his/her request to the nearest server. After receiving all the requests from users, the servers share the requests. A user will then receive the data processed fr作者: 古代 時間: 2025-3-26 17:35
Risk Aware Stochastic Placement of Cloud Services: The Case of Two Data Centers much harder due to the dynamic nature of the workload and the fact that while long term statistics about the demand may be known, it is impossible to predict the exact demand in each point in time. As a result, service providers either over allocate resources and hurt the service cost efficiency, o作者: Panther 時間: 2025-3-27 00:01
Towards an Algebraic Cost Model for Graph Operatorsg and storage engines, each featuring different models in computation, storage and execution as well as performance. Multi-Engine Analytics present a solution towards adaptive, cost-based complex workflow scheduling to the best available underlying technology. To achieve this in the Graph Analytics 作者: 使迷醉 時間: 2025-3-27 04:49 作者: ANTI 時間: 2025-3-27 06:02 作者: Graphite 時間: 2025-3-27 10:42 作者: 慢慢流出 時間: 2025-3-27 17:34
Automatic Scaling of Resources in a Storm Topologyons to changing conditions in real-time. Distributed stream processing systems have emerged as platforms of choice for applications that rely on real-time analytics, with Apache Storm [.] being one of the most prevalent representatives. Whether deployed on physical or virtual infrastructures, distri作者: 擺動 時間: 2025-3-27 18:38 作者: FAST 時間: 2025-3-28 00:01 作者: allude 時間: 2025-3-28 04:39
Conference proceedings 2018g, ALGOCLOUD 2017, held in Vienna, Austria, in September 2017..The 9 revised full papers were carefully reviewed and selected from 27 submissions.?.The aim of the workshop is to present research activities and results on topics related to algorithmic, design, and development aspects of modern cloud-作者: Bouquet 時間: 2025-3-28 08:24 作者: ADOPT 時間: 2025-3-28 13:16 作者: expire 時間: 2025-3-28 15:41
Exchange-Correlation Functionals,upports the decision-making of rule-based elasticity controllers to timely detect actual runtime changes in the monitorable load of cloud services. Results on real-life testbeds deployed on AWS, show that AdaFrame is able to correctly identify scaling actions and in contrast to the AWS auto-scaler, is able to lower detection delay by at least 63%.作者: 大喘氣 時間: 2025-3-28 21:52
Clusters and Cluster Reactions,nd develop a generalized mechanism to assign services to data centers based on the available resources in each data center and the distribution of the demand for each service. We further show, using simulations based on synthetic data that the scheme performs very well on different service workloads.作者: 暗指 時間: 2025-3-28 23:25 作者: 頭盔 時間: 2025-3-29 04:39 作者: synovitis 時間: 2025-3-29 09:35
Improving Rule-Based Elasticity Control by Adapting the Sensitivity of the Auto-Scaling Decision Timupports the decision-making of rule-based elasticity controllers to timely detect actual runtime changes in the monitorable load of cloud services. Results on real-life testbeds deployed on AWS, show that AdaFrame is able to correctly identify scaling actions and in contrast to the AWS auto-scaler, is able to lower detection delay by at least 63%.作者: NAG 時間: 2025-3-29 15:16 作者: 玉米棒子 時間: 2025-3-29 19:20
0302-9743 d Computing, ALGOCLOUD 2017, held in Vienna, Austria, in September 2017..The 9 revised full papers were carefully reviewed and selected from 27 submissions.?.The aim of the workshop is to present research activities and results on topics related to algorithmic, design, and development aspects of mod作者: Assault 時間: 2025-3-29 23:12
Computing Probabilistic Queries in the Presence of Uncertainty via Probabilistic Automataelevant examples, where we show how to construct and exploit the convenient properties of such automata to evaluate RDF queries with adjustable cutoff. Finally, we present some directions for further investigation on this particular line of research, taking into account possible generalizations of this work.
