Latency 发表于 2025-3-23 11:51:03
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 workspinhibit 发表于 2025-3-23 15:05:19
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虚假 发表于 2025-3-23 21:03:35
http://reply.papertrans.cn/83/8230/822995/822995_13.pngIndecisive 发表于 2025-3-24 01:02:03
http://reply.papertrans.cn/83/8230/822995/822995_14.png尽忠 发表于 2025-3-24 03:25:57
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储备 发表于 2025-3-24 06:31:34
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可耕种 发表于 2025-3-24 13:00:23
http://reply.papertrans.cn/83/8230/822995/822995_17.png1FAWN 发表于 2025-3-24 17:25:19
http://reply.papertrans.cn/83/8230/822995/822995_18.pngarchetype 发表于 2025-3-24 23:04:11
http://reply.papertrans.cn/83/8230/822995/822995_19.pngcomely 发表于 2025-3-24 23:09:33
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