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is indispensable for achieving high performance and high throughput in systems such as clusters . Cluster heterogeneity increases the difficulty of balancing the load across the system nodes and, although ...
or multihop communication. The main issue in such mechanism is how to associate the nodes to CHs and how to route the data of CHs so that the overall load on CHs are balanced . Since the sensor nodes operate ...
the theoretical results about how the extended Amdahl's Law is applied to leverage load balancing of a heterogeneous on-chip cluster . Simulation results demonstrate that our extended model reinforces state ...
is how to deal with scheduling and load balancing of such a system that may consist of heterogeneous computers. Distributed scheduling schemes suitable for parallel loops with independent iterations ...
. The paper focuses on the following multi-objective optimization problem: how to pay little migration cost as much as possible to keep system load balancing under meeting certain quality of service (QoS) via ...
load amongst groups of nodes of the same type. We show how it removes these performance issues by comparing results in a variety of situations against corresponding classical algorithms. ...
the scale is getting larger. The development and simulation of a Heterogeneous System utilizing Microservices is presented in this article. This work aims at studying how existing load - balancing algorithms ...
for resources, so dynamic load balancing is a key requirement. For greatest benefit, the tool must support a relatively wide class of applications running on clusters with a range of computation and communication ...
¬culty in concurrent programming of a distributed system is how to deal with scheduling and load balancing of such a system which may consist of heterogeneous computers. Some distributed scheduling schemes ...
to enhance the scheduling efficiency. Basically, the best task completion time can be obtained in our TLCD architecture. Furthermore, load balancing and reliability can be achieved under a cloud computing ...
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