We provide a new simpler approach to the on-line load balancing problem in the case of restricted assignment of temporary weighted tasks. The approach is very general and allows to derive online distributed algorithms whose competitive ratio is characterized by some combinatorial properties of the underlying graph representing the problem. The effectiveness of our approach is shown by the hiera...

• We propose a new optimal automatic load balancing criterion for parallel iterative applications. introduce an algorithm finding the time at which dynamic should be triggered. Our outperforms state-of-the-art criteria by up to 17.6%, while being, on average, 4.9% faster. show that are most 42% slower than optimum. Parallel applications often suffer from imbalance, one of critical performance d...

Mobile Edge Computing (MEC) (a.k.a. fog computing) has recently emerged to enable low-latency and location-aware data processing at the edge of mobile networks. Since providing grid power supply in support of MEC can be costly and even infeasible in some scenarios, on-site renewable energy is mandated as a major or even sole power supply. Nonetheless, the high intermittency and unpredictability...

Scalability becomes the basic need for distributed systems. With the increase of users, load on application servers also keep increasing. This requires a critical action to balance the load on servers. Load balancing is the concept of balancing load on servers using various load balancing techniques. In this paper we discuss various load-balancing techniques that are currently available. We dis...

Load balancing middleware is used extensively to improve scalability and overall system throughput in distributed systems. Many load balancing middleware services are simplistic, however, since they are geared only for specific usecases and environments. These limitations make it hard to use the same load balancing service for anything other than the distributed application it was designed for ...

As middleware-based distributed applications become more pervasive, the need to improve the scalability of these applications becomes increasingly important. One way to improve scalability is via load balancing. Earlier generations of middleware-based load balancing services were simplistic, however, since they focused on specific use-cases and environments, which made it hard to use these serv...

Dynamic Load Balancing (DLB) is sine qua non in modern distributed systems to ensure the efficient utilization of computing resources therein. This paper proposes a novel framework for hybrid dynamic load balancing. Its framework uses a Genetic Algorithms (GA) based supernode selection approach within. The GA-based approach is useful in choosing optimally loaded nodes as the supernodes directly...

This paper proposes a technique for load balancing on symmetric multiprocessor systems, where tasks are placed in queues for being processed. Load balancing on processers was run using the RED algorithm and fuzzy system. This system which involves three threads and load balancing was carried out based on these threads. Load balancing operation was carried out in symmetric processers. Load balan...