By the same authors

μKernel service for dynamic load balancing

Research output: Book/ReportBook

Standard

μKernel service for dynamic load balancing. / Grigoras, D.; Calinescu, R.

Amsterdam, Netherlands : IOS Press, 1995. 11 p.

Research output: Book/ReportBook

Harvard

Grigoras, D & Calinescu, R 1995, μKernel service for dynamic load balancing. IOS Press, Amsterdam, Netherlands.

APA

Grigoras, D., & Calinescu, R. (1995). μKernel service for dynamic load balancing. Amsterdam, Netherlands: IOS Press.

Vancouver

Grigoras D, Calinescu R. μKernel service for dynamic load balancing. Amsterdam, Netherlands: IOS Press, 1995. 11 p.

Author

Grigoras, D. ; Calinescu, R. / μKernel service for dynamic load balancing. Amsterdam, Netherlands : IOS Press, 1995. 11 p.

Bibtex - Download

@book{8cd2983817ca4f23b3e0d3855d6fb8c3,
title = "μKernel service for dynamic load balancing",
abstract = "In this paper we study a new strategy for adaptive dynamic load balancing in large heterogeneous distributed systems. This strategy that aims to minimise the application response times comprises two phases, each of which is simple enough to be implemented as a μKernel-level service. In the first phase, unlike in most dynamic load balancing algorithms developed so far, we take into account the different types and sizes of parallel applications that are run on a general purpose parallel computer in adaptively deciding an execution domain for each new application. In the second phase, a classical Receiver Initiated Diffusion technique is used to balance the load among neighbour nodes in the system. Using a very simple, yet efficient classification of the parallel applications into computation hard, communication hard and balanced, we simulated the behaviour of a simplified distributed system, obtaining results that justify the employment of such a two phase allocation algorithm as a μKernel service for large heterogeneous distributed systems.",
author = "D. Grigoras and R. Calinescu",
year = "1995",
month = "12",
day = "1",
language = "English",
publisher = "IOS Press",

}

RIS (suitable for import to EndNote) - Download

TY - BOOK

T1 - μKernel service for dynamic load balancing

AU - Grigoras, D.

AU - Calinescu, R.

PY - 1995/12/1

Y1 - 1995/12/1

N2 - In this paper we study a new strategy for adaptive dynamic load balancing in large heterogeneous distributed systems. This strategy that aims to minimise the application response times comprises two phases, each of which is simple enough to be implemented as a μKernel-level service. In the first phase, unlike in most dynamic load balancing algorithms developed so far, we take into account the different types and sizes of parallel applications that are run on a general purpose parallel computer in adaptively deciding an execution domain for each new application. In the second phase, a classical Receiver Initiated Diffusion technique is used to balance the load among neighbour nodes in the system. Using a very simple, yet efficient classification of the parallel applications into computation hard, communication hard and balanced, we simulated the behaviour of a simplified distributed system, obtaining results that justify the employment of such a two phase allocation algorithm as a μKernel service for large heterogeneous distributed systems.

AB - In this paper we study a new strategy for adaptive dynamic load balancing in large heterogeneous distributed systems. This strategy that aims to minimise the application response times comprises two phases, each of which is simple enough to be implemented as a μKernel-level service. In the first phase, unlike in most dynamic load balancing algorithms developed so far, we take into account the different types and sizes of parallel applications that are run on a general purpose parallel computer in adaptively deciding an execution domain for each new application. In the second phase, a classical Receiver Initiated Diffusion technique is used to balance the load among neighbour nodes in the system. Using a very simple, yet efficient classification of the parallel applications into computation hard, communication hard and balanced, we simulated the behaviour of a simplified distributed system, obtaining results that justify the employment of such a two phase allocation algorithm as a μKernel service for large heterogeneous distributed systems.

UR - http://www.scopus.com/inward/record.url?scp=0029454558&partnerID=8YFLogxK

M3 - Book

BT - μKernel service for dynamic load balancing

PB - IOS Press

CY - Amsterdam, Netherlands

ER -