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 User Modeling of Parallel Workloads. Predicting and Optimizing the Use of Parallel Computers
Наименование:

User Modeling of Parallel Workloads. Predicting and Optimizing the Use of Parallel Computers

автор David T. издательство Книга по Требованию Локальные и корпоративные сети
Cтраниц 132        мягкая обложка       
Аннотация:The methodology and statistical toolset is explained to make it easier to reuse in other domains. Their practical importance is demonstrated by two new kinds of scheduling algorithms – adaptive scheduling and shortest job backfill first scheduling – which achieve an average 10% bottom- line performance gain and 35% stability gain on the production workloads. The goal of workload modeling is to predict a computer’s workload well enough to design it correctly. It identifies four stable user types and five stable session types. It then deduces model parameters, the distributions of the arrival and activity patterns for both users and sessions, their dependencies and temporal structure. Analyzing logs from multiple real parallel computers uncovers several statistical features – locality of sampling, daily cycles, weekly cycles, self similarity and flurries – that are missing from current workload models. A poor model will lead to degraded performance and user satisfaction. The second part of this book presents a user based workload model. The insights and practical advice provided will be of use to anyone building or operating a large-scale parallel computer.
Автор: David T.
Издательство: Книга по Требованию
Год:2009
Цена:
2415 руб
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Поиск: User Modeling of Parallel Workloads. Predicting and Optimizing the Use of Parallel Computers
НОВЫЙ ГОД СИМВОЛ 2013 ГОДАУКРАШЕНИЯ
КАРНАВАЛ НА НОВЫЙ ГОД РАСПРОДАЖА
Ортомолекулярная медицина Orthomol Устрание причин заболеваний. Ортомоль это новый метод для лечения и профилактики болезней. Orthomol - ортомолекулярная медицина.
Evaluating the GPRS Radio Interface for Different Quality of Service...

I co ras o he models developed i , our approach addi io ally represe s he mobili y of users hrough arrival ra es of ew GSM a d GPRS users as well as ha dover ra es of GSM a d GPRS users from eighbori g cells. Fur hermore, we co sider users wi h differe QoS profiles modeled by a weigh ed fair queuei g scheme accordi g o . he remai der of he paper is orga ized as follows. Sec io 2 describes he basic GPRS e work archi ec ure, he radio i erface, a d differe QoS profiles, which will be co sidered i he simula or. I Sec io 3 we describe he sof ware archi ec ure of he GPRS simula or, de ails abou he mobili y of GSM a d GPRS users, he way we modeled quali y of service profiles, a d he workload model we used. Resul s of he simula io s udies are prese ed i Sec io 4. We provide curves for average carried raffic a d packe loss probabili ies for differe cha el alloca io schemes a d packe priori ies as well as curves for average hroughpu per GPRS user.3 he Simula io Model We co sider a clus er comprisi g of sever hexadiago al cells i a i egra ed GSM/GPRS e work, servi g circui -swi ched voice a d packe -swi ched da a calls. he performa ce s udies prese ed i Sec io 4 were co duc ed for he i ermos cell of he seve cell clus er.
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