Author: Gary J. Nutt
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 442
Book Description
An introduction to issues in contemporary operating systems which progresses from concepts that apply to all operating systems to the principles of distributed operating systems. Topics on distributed systems include system management, nets, distributed storage and remote procedure calls.
Centralized and Distributed Operating Systems
Author: Gary J. Nutt
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 442
Book Description
An introduction to issues in contemporary operating systems which progresses from concepts that apply to all operating systems to the principles of distributed operating systems. Topics on distributed systems include system management, nets, distributed storage and remote procedure calls.
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 442
Book Description
An introduction to issues in contemporary operating systems which progresses from concepts that apply to all operating systems to the principles of distributed operating systems. Topics on distributed systems include system management, nets, distributed storage and remote procedure calls.
Centralized Vs. Distributed Computing
Author: Rick Click
Publisher:
ISBN:
Category : Business enterprises
Languages : en
Pages :
Book Description
Publisher:
ISBN:
Category : Business enterprises
Languages : en
Pages :
Book Description
Evaluating the Tradeoff Between Centralized and Distributed Computing
Author: University of Toronto. Computer Systems Research Group
Publisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
Centralized and Distributed Data Base Systems
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
Book Description
Centralized, Decentralized, Or Distributed
Author: William Lawrence Baggeroer
Publisher:
ISBN:
Category : Data processing service centers
Languages : en
Pages : 192
Book Description
Publisher:
ISBN:
Category : Data processing service centers
Languages : en
Pages : 192
Book Description
A Comparative Look at Centralized and Distributed Data Base Systems
Author: Daniel John Illig
Publisher:
ISBN:
Category : Database management
Languages : en
Pages : 184
Book Description
Publisher:
ISBN:
Category : Database management
Languages : en
Pages : 184
Book Description
Centralized and distributed data base systems tutorial
Author: Wesley W. Chu
Publisher:
ISBN:
Category :
Languages : en
Pages : 662
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 662
Book Description
DISTRIBUTED OPERATING SYSTEMS
Author: PRADEEP K. SINHA
Publisher: PHI Learning Pvt. Ltd.
ISBN: 8120313801
Category : Computers
Languages : en
Pages : 761
Book Description
The highly praised book in communications networking from IEEE Press, now available in the Eastern Economy Edition.This is a non-mathematical introduction to Distributed Operating Systems explaining the fundamental concepts and design principles of this emerging technology. As a textbook for students and as a self-study text for systems managers and software engineers, this book provides a concise and an informal introduction to the subject.
Publisher: PHI Learning Pvt. Ltd.
ISBN: 8120313801
Category : Computers
Languages : en
Pages : 761
Book Description
The highly praised book in communications networking from IEEE Press, now available in the Eastern Economy Edition.This is a non-mathematical introduction to Distributed Operating Systems explaining the fundamental concepts and design principles of this emerging technology. As a textbook for students and as a self-study text for systems managers and software engineers, this book provides a concise and an informal introduction to the subject.
On the Power of Centralization in Distributed Processing
Author: Kuang Xu (Ph. D.)
Publisher:
ISBN:
Category :
Languages : en
Pages : 85
Book Description
In this thesis, we propose and analyze a multi-server model that captures a performance trade-off between centralized and distributed processing. In our model, a fraction p of an available resource is deployed in a centralized manner (e.g., to serve a most-loaded station) while the remaining fraction 1 -p is allocated to local servers that can only serve requests addressed specifically to their respective stations. Using a fluid model approach, we demonstrate a surprising phase transition in the steady-state delay, as p changes: in the limit of a large number of stations, and when any amount of centralization is available (p > 0), the average queue length in steady state scales as log 1/1-p 1/1-[lambda] when the traffic intensity [lambda] goes to 1. This is exponentially smaller than the usual M/M/1-queue delay scaling of 1/1-[lambda], obtained when all resources are fully allocated to local stations (p = 0). This indicates a strong qualitative impact of even a small degree of centralization. We prove convergence to a fluid limit, and characterize both the transient and steady-state behavior of the finite system, in the limit as the number of stations N goes to infinity. We show that the sequence of queue-length processes converges to a unique fluid trajectory (over any finite time interval, as N --> [infinity]), and that this fluid trajectory converges to a unique invariant state vI, for which a simple closed-form expression is obtained. We also show that the steady-state distribution of the N-server system concentrates on vI as N goes to infinity.
Publisher:
ISBN:
Category :
Languages : en
Pages : 85
Book Description
In this thesis, we propose and analyze a multi-server model that captures a performance trade-off between centralized and distributed processing. In our model, a fraction p of an available resource is deployed in a centralized manner (e.g., to serve a most-loaded station) while the remaining fraction 1 -p is allocated to local servers that can only serve requests addressed specifically to their respective stations. Using a fluid model approach, we demonstrate a surprising phase transition in the steady-state delay, as p changes: in the limit of a large number of stations, and when any amount of centralization is available (p > 0), the average queue length in steady state scales as log 1/1-p 1/1-[lambda] when the traffic intensity [lambda] goes to 1. This is exponentially smaller than the usual M/M/1-queue delay scaling of 1/1-[lambda], obtained when all resources are fully allocated to local stations (p = 0). This indicates a strong qualitative impact of even a small degree of centralization. We prove convergence to a fluid limit, and characterize both the transient and steady-state behavior of the finite system, in the limit as the number of stations N goes to infinity. We show that the sequence of queue-length processes converges to a unique fluid trajectory (over any finite time interval, as N --> [infinity]), and that this fluid trajectory converges to a unique invariant state vI, for which a simple closed-form expression is obtained. We also show that the steady-state distribution of the N-server system concentrates on vI as N goes to infinity.
TUTORIAL
Author: M.P. Mariani
Publisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages :
Book Description