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We consider the fair and efficient resource allocation in an environment of multiple resource types and multiple nodes in a datacenter. The heterogeneity of users' resource demands and nodes' resource capacities make it difficult in evaluating the fairness and efficiency of resource allocation and task scheduling. Previous works only considered the fairness measures in the case of a single node. We...
When TCP operates in wireless networks, its congestion control algorithms such as fast retransmit/recovery (FRR) and retransmission timeouts (RTO) are often triggered regardless of congestion. Such FRRs/RTOs non-related to congestion incur TCP's misbehavior such as blindly halving the transmission rate, unnecessarily retransmitting the outstanding packets which may be in the bottleneck queue. Although...
A new clustering analysis method based on the pseudo parallel genetic algorithm (PPGA) is proposed for business cycle indicator selection. In the proposed method, the category of each indicator is coded by real numbers, and some illegal chromosomes are repaired by the identification and restoration of empty class. Two mutation operators, namely the discrete random mutation operator and the optimal...
To ensure large-scale and long-time (LSLT) applications to run smoothly in a dynamic and heterogeneous grid environment, we have designed and implemented a WSRF-based framework with which users can reserve resources and request on-demand computing resources. The framework can be architecturely divided into three tiers: the tier providing client-side reservation and allocation APIs, the tier for reservation...
In order to guarantee large-scale and long-time applications to execute smoothly in a dynamic and heterogeneous grid environment, we have designed and implemented a framework by which users can reserve and allocate on- demand resources, and manage their jobs from within grid- enabled applications. This framework is based on a three- tier architecture that consists of client API, centralized broker...
Resource reservation is a vital issue for grid-enabled programs to execute smoothly. Instead of using metascheduling solutions to request grid resources statically, we are developing a tiny C++ library to reserve on-demand computing resources based on Globus Toolkit, local schedulers such as Maui, and SQLite database. The interface class is named CReservation in the library. At the time of preparing...
We have enabled an MPI-based parallel program which is developed by our group to simulate nanoscale measurements of materials properties for a grid computing environment. The performance of this program has been evaluated based on three kinds of MPI middleware, MPICH-G2, GridMPI, and PACX-MPI. The speedup of this program on the grid is comparable with that obtained on supercomputers when CPU number...
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