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Titlebook: Recent Advances in Spectroscopy; Theoretical, Astrop Rajat K. Chaudhuri,M.V. Mekkaden,A. Satya Narayana Conference proceedings 2010 Spring

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樓主: Systole
11#
發(fā)表于 2025-3-23 11:51:03 | 只看該作者
E. H. Silver,N. S. Brickhouse,T. Lin,G. X. Chen,K. Kirby,J. D. Gillaspy,J. N. Tan,J. M. Lamingerface version consistency among storage nodes and client applications. We propose that storage systems should provide services that fully manage the life-cycle of dynamic interfaces that are aligned with the common branch-and-merge form of software maintenance, including isolated development worksp
12#
發(fā)表于 2025-3-23 15:05:19 | 只看該作者
A. Dasgupta,R. W. Clark,J. Davis,J. G. Giuliani multiple local disks at virtual machine (.) level in order to speed up big data analytics? If so, what are the best practices to achieve a high virtualized aggregated I/O throughput? This paper aims to answer these questions in the context of I/O intensive MapReduce workloads: it analyzes and chara
13#
發(fā)表于 2025-3-23 21:03:35 | 只看該作者
14#
發(fā)表于 2025-3-24 01:02:03 | 只看該作者
15#
發(fā)表于 2025-3-24 03:25:57 | 只看該作者
Anamika Mukhopadhyay,Tapas Chakrabortys must be elastically adapted at runtime to match the needs of a dynamic application-workload. In this paper, we introduce the architecture and implementation of c-Eclipse, and describe its key characteristics via a use-case scenario that involves a user creating a description of a 3-tier Cloud appl
16#
發(fā)表于 2025-3-24 06:31:34 | 只看該作者
Amit K. Samanta,Tapas Chakraborty SIFT implementation strategy takes both caching and . (NUMA) into account, and therefore achieves a higher speedup factor than existing work. We also discuss how scalability for larger video workloads can be achieved by leveraging the actor programming model as part of a distributed SIFT implementa
17#
發(fā)表于 2025-3-24 13:00:23 | 只看該作者
18#
發(fā)表于 2025-3-24 17:25:19 | 只看該作者
19#
發(fā)表于 2025-3-24 23:04:11 | 只看該作者
20#
發(fā)表于 2025-3-24 23:09:33 | 只看該作者
Malaya K. Nayakt times. We propose a sophisticated SOCP (Second Order Cone Program) formulation for this problem and we analyze how this modified packing constraint changes the behavior of standard packing heuristics (such as Best-Fit or First-Fit Decreasing). We show that taking periodicity of demand into account
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