Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 252 for “"load balancing"”.
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Dynamic load balancing
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1986.
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Load Balancing Scientific Applications
… systems that evolve over time, and their workloads change over time. Furthermore, the cost of imbalanced load increases with scale because most large-scale scientific simulations today use a Single Program Multiple Data (SPMD) parallel programming model, and an increasing number of processors …
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Adaptive load balancing for HPC applications
… affect the performance of many applications is load imbalance. Applications are increasingly becoming sophisticated and are using irregular structures and adaptive refinement techniques, resulting in load imbalance. Moreover, systems are becoming more complex. The number of cores per node is …
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Intelligent Load Balancing in Cloud Computer Systems
… to dynamically allocate tasks without overloading Cloud nodes which would result in system stability being maintained at minimum cost. This research has added the following new contributions to the state of knowledge: (i) a novel taxonomy and categorisation of three classes of schedulers, …
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Distributed load balancing over directed network topologies
… literature, distributing the total computation load across available processors is referred to as load balancing. This thesis considers the problem of distributed load balancing over directed graphs that are not fully connected. The impact of network topology on the stability and balance of …
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Load Balancing Parallel Explicit State Model Checking
… specifically, the inherent problem with load balancing and large queue sizes resultant in a static partition algorithm. This research then presents a load balancing algorithm to improve the run time performance in distributed model checking, reduce maximum queue size, and reduce the …
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Micro load balancing with delayed queue lengths
DRILL is a micro load balancing algorithm designed to efficiently utilize the path redundancy in modern data centers. It uses egress port queue lengths to make fast packet routing decisions to reduce upstream congestion and queueing delays. However, high performance switches with multiple …
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Load Balancing in NetApp’s Clustered Storage Systems
To address the problem of load balancing in NetApp’s storage system, this thesis aims to design and implement an algorithm that results in more evenly distributed cluster reconfigurations with minimal disturbance to clients’ workloads. I implement three different greedy algorithms to find a more …
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Dynamic load-balancing of StreamIt cluster computations
… the design and implementation of a dynamic load-balancing mechanism for computationally distributed programs running on a cluster written in the StreamIt programming language. StreamIt is useful for streaming data applications such as MPEG codecs. The structure of the language carries a lot …
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Dynamic Load Balancing for Massively Multiplayer Online Games
… architecture for MMOGs and a new dynamic load balancing for massively multiplayer online games (MMOGs) based this hybrid Peer-to-Peer architecture. We have divided the game world space into several regions. Each region in the game world space is controlled and managed by using both a …
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Dynamic load balancing of parallel road traffic simulation
… was to investigate, develop and evaluate dynamic load-balancing strategies for parallel execution of microscopic road traffic simulations. Urban road traffic simulation presents irregular, and dynamically varying distributed computational load for a parallel processor system. The dynamic nature of …
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Optimising subdomain aspect ratios for parallel load balancing
… adaptive Finite Element simulations the work load 011the individual processors can change frequently. To (re)distribute the load evenly over the processors a load balancing heuristic is needed. Common strategies try to minimise subdomain dependencies by minimising the number of cut edges in …
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Load Balancing Regular Meshes on SMPS with MPI
Domain decomposition for regular meshes on parallel computers has traditionally been performed by attempting to exactly partition the work among the available processors (now cores). However, these strategies often do not consider the inherent system noise which can hinder MPI application …
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Vector load balancing for high-performance parallel applications
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-09-01 without embargo terms
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Load balancing the GRID ad-hoc routing protocol
… node distributions while still achieving proper load-balancing.
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Multi-GPU Load Balancing for Simulation and Rendering
… GPUs requires memory management, scheduling, and load balancing to ensure that a program takes full advantage of available processors. This work presents methods for data-driven and dynamic multi-GPU load balancing using a pipelined approach and a framework for use with different applications. …
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Design of a load-balancing architecture for parallel firewalls
… a potential choke point as network speeds and loads increase, the Navy needs a cost-effective means of increasing data rate through firewalls by placing several machines in parallel and balancing the traffic load among them. Current firewall architectures consisting of multiple machines do not …
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Efficient Data Organization and Load Balancing on Parallel Disks
Our experiments with all proposed approaches on IBM SP2s, using the Panda parallel I/O library as a testbed, show that our strategies significantly reduce the I/O time required for the checkpoint and snapshot operations of large simulations.
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Meta-Balancer: automated load balancing based on application behavior
… processing power, and scale to large systems. Load imbalance, both computationally and communication induced, presents itself as one of the important challenges in achieving scalability and high performance. Problem sizes and system sizes have become so large that manually handling the …
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