Abstract This paper is aimed at efficiently distributing workload between the Fog Layer and Cloud Network then optimizing resource allocation in cloud networks to ensure better utilization quick response time of resources available end user. We have employed a Dead-line aware scheme migrate data based on profiling used K-Means clustering Service-request prediction model allocate all requests. T...

This paper discusses load balancing heuristics in a general-purpose distributed computer system. To minimize the mean response time of a task, every new task is scheduled to be executed either locally or at a remote host, depending upon the current load distribution. We implemented a task scheduler based on the concept of a Stochastic Learning Automaton on a network of Unix workstations. The us...

We introduce a simple communication scheme for doing complete workload balancing (WLB) on diierent kind of networks with n processors. Considering cliques we show that 1-WLB can be decided in time O(n log n) whereas 2-WLB is NP-complete. Another presented result shows that the WLB-problem can only be solved in log n steps on networks with degree d log n. Therefore we present optimal algorithms ...

A knowledge-based system for scheduling arrival traffic in the terminal area, referred to as the Final Approach Spacing Tool (FAST), has been implemented and operationally tested at the Dallas/Fort Worth Terminal Radar Approach Control (TRACON) facility. Two types of controller advisories are generated by FAST: sequence number and runway assignment. The knowledge base for runway assignment empl...

Machine is the key element in manufacturing system. failure will lead to order delivery delay and production cost rise. Aiming at random disturbance of equipment failure, a dynamic non-linear programming model virtual cell (VMC) established, which aims minimize cost, logistics transportation differences workload among cells, based on comprehensive consideration reliability, process route constr...

Cloud environments often provide dynamic resource allocation techniques. These can be used to scale single components or even whole software systems according to their current workload. Fluctuating workloads can occur in different layers of the software architecture and need appropriate handling to meet performance requirements. Scaling workload-intensive components in combination with load-bal...

In the context of processing data lists in parallel in a multicore, various threads share a workload, each using a list to get and insert the data items to be processed; and when a list becomes empty, the owner thread steals data items from another list — thus balancing the workload according to the processing capacity of each thread transparently to the programmer. The first algorithm we desig...

We examine various schemes for dynamically routing virtual circuits (VCs) in a multi-class network. A VC setup request may be rejected by admission control because resources are either unavailable or being reserved for future incoming VCs. We examine least-loaded based schemes, which attempt to balance the load among available routes. In addition, we examine packing based schemes, which attempt...

Cloud computing provides hosted services (i.e., servers, storage, bandwidth, and software) over the internet. The key benefits of cloud are scalability, efficiency, cost reduction. challenge in is even distribution workload across numerous heterogeneous servers. Several scheduling load-balancing techniques have been proposed literature. These include heuristic-based, meta-heuristics-based, hybr...