Cloud computing is emerging as a new paradigm of large-scale distributed computing. It is a framework for enabling convenient, ondemand network access to a shared pool of computing resources. Load balancing is one of the main challenges in cloud computing which is required to distribute the dynamic workload across multiple nodes to ensure that no single node is overwhelmed. It helps in optimal ...

This paper presents the evaluation of a Network-onChip (NoC) that offers load balancing for Systems-on-Chip (SoCs) dedicated for multimedia applications that require high traffic of variable bitrate communication. The NoC is based on a technique that allows the interleaving of flits from different flows in the same communication channel, and keep the load balancing without a centralized control...

Line balancing is an effective tool to improve the throughput of assembly line while reducing nonvalue-added activities, cycle time. LB is the problem of assigning operation to workstation along an assembly line, in such a way that assignment is optimal in some sense. This paper mainly focuses on improving overall efficiency of single model assembly line by reducing the non value added activiti...

Allocation of the work load in to small processes is known as Load Balancing .Parallel programming is based on four phases finding Concurrency (by understanding the available concurrency and expose in algorithm design), Algorithm structure (programmer develop high level structure for organizing parallel algorithm), Supporting structure (in this code analyzing techniques used to manage data), Im...

Introduction 1 Workload Characteristics of Internet Services 2 Web Applications 3 Streaming Applications 4 Taxonomy of Load-Balancing Strategies 4 Load Balancing in the Server, the Network, and the Client Sides 4 State-Blind versus State-Aware Load Balancing 5 Load Balancing at Different Network Layers 5 Server-Side Load Balancing 5 DNS-Based Load Balancing 5 Dispatcher-Based Load Balancing 7 S...

The task of balancing dynamically generated work load occurs in a wide range of parallel and distributed applications. Diffusion based schemes, which belong to the class of nearest neighbor load balancing algorithms, are a popular way to address this problem. Originally created to equalize the amount of arbitrarily divisible load among the nodes of a static and homogeneous network, they have be...

Cloud Environment allows users to access on-demand IT resources over the cyberspace based on pay per use pattern. Optimizing the resource utilizationand reducing the amount of active server machine usage in clouds become a challenging task. The major intend of this work is to builda model which supports balancing the workload in cloud datacenters and minimizing the amount of active servers to s...

In recent years, cloud computing technology has become one of the most significant IT infrastructures. Cloud users are increasing every day; thus, cloud must be able to handle the huge number of requests received at any given moment, causing concerns for resourced load balancing. The load balancing problem occurs when some cloud resources are overloaded with user tasks while other resources are...

We study the problem of load balancing in 802.11-based wireless networks, operating in infrastructure mode. In a large wireless network with multiple collocated Access Points (AP), a load balancing policy is necessary for the distribution of the wireless stations (WS) to the AP’s, so as the network performance to be maximized. Already proposed algorithms, which are based only on the received si...