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A shared MapReduce cluster is beneficial to build data warehouse which can be used by multiple users. FAIR scheduler gives each user the illusion of owning a private cluster. Moreover, it can dynamic redistribute capacity unused by some users to other users. However, when reassigning the slots, FAIR picks the most recently launched tasks to kill without considering the job character and data locality,...
Grid is susceptible to a number of software and hardware failures, so a deep understanding of and modeling the grid resource failures are a challenge and have significant influence on grid researching. However, due to various reasons such as commercial secret and security, it is difficult to obtain real historical logs of grids. Therefore, an accurate model of resource failures is critically useful...
Many algorithms of memory access scheduling have been studied to attack the well-known memory-wall. However, some of them introduce unfairness problem in Chip-Multi-Processor (CMP) systems. Therefore a new approach called Fair-Priority-Expression-Based (FairPEB) burst scheduling is proposed in this paper to address both performance and unfairness problems. Experiment results show that this method...
The performance of modern computer system is greatly limited by the bandwidth of DRAM-based memory. Altering the sequence of main memory accesses can reduce observed access latency, therefore improve bus utilization. While previous reordering mechanisms consider factors related to memory access separately, this paper groups several factors together to build a priority expression for bank arbitration...
Efficiency and effectiveness are always the emphases of a scheduler, for both link and processor scheduling. Well-known scheduling algorithms such as surplus round robin (SRR) and elastic round robin (ERR) suffer from two fold shortcomings: 1) additional pre-processing queuing delay and post-processing resequencing delay are incurred due to the lack of short-term load-balancing; 2) bursty scheduling...
Short flow first scheduling (SFF) strategy is effective in obtaining more stringent performance bounds for short flows in Internet. However, previous strict SFF approaches invested the short flows with excessive preference leading to the starvation of other long flows. Moreover, these SFFs are hard to be deployed due to either extreme complexity or the modification of TCP protocol. Inspired by the...
Next-generation high-end network processors (NP) must address demands from both diversified applications and ever-increasing traffic pressure. One major challenge is to design an extraordinary scalable architecture. In this paper, it is argued that such an objective can only be sufficed by introducing highly paralleled structure, namely the paralleled processing-engine cluster (PPC). We demonstrate...
It is expected that, in near future, the multi-class traffic previously in public switched telephone network (PSTN), cable television network and IP network will be multiplexed at backbone and carried by the converged next-generation network (NGN). A pragmatic challenge in facilitating NGN is how to schedule traffic and allocate bandwidth among the triple-play services, namely voice (VoIP), video...
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