The paper presents state of the art of energy‐aware high‐performance computing (HPC), in
particular identification and classification of approaches by system and device types …

Using alternative cache indexing/hashing functions is a popular technique to reduce conflict
misses by achieving a more uniform cache access distribution across the sets in the cache …

During the past decades scheduling has been among the most studied optimization
problems and it is still an active area of research! Scheduling appears in many areas of …

In today's highly parametrized distributed computational environments, such as green grid
clusters and clouds, the growing power and cooling rates are becoming the dominant part of …

Due to the complex nature of Grid systems, the design of efficient Grid schedulers is
challenging since such schedulers have to be able to optimize many conflicting criteria in …

The term 'grid computing'is used to describe an infrastructure that connects geographically
distributed computers and heterogeneous platforms owned by multiple organizations …

Task scheduling and resource allocation are the key rationale behind the computational
grid. Distributed resource clusters usually work in different autonomous domains with their …

Abstract Distributed Cyber Physical Systems (DCPSs) are networks of computing systems
that utilize information from their physical surroundings to provide important services, such …

The hybridization of heuristics methods aims at exploring the synergies among stand alone
heuristics in order to achieve better results for the optimization problem under study. In this …

Independent Job Scheduling is one of the most useful versions of scheduling in grid
systems. It aims at computing efficient and optimal mapping of jobs and/or applications …