The Computational Grid is a promising computing platform for solving the problem of large-scale resource allocation. In order to build large-scale of the grid computing systems, some obvious problems of grid computing, such as: security, resource scheduling and management, authentication and authorization, have attracted more attention and research. Charging and accounting is an important part ...

Grid computing systems require innovative methods and tools to identify cybersecurity incidents and perform autonomous actions i.e. without administrator intervention. They also require methods to isolate and trace job payload activity in order to protect users and find evidence of malicious behavior. We introduce an integrated approach of security monitoring via Security by Isolation with Linu...

Grid computing is increasingly being viewed as the next phase of distributed computing. Grid aims to maximize the utilization of an organization's computing resources by making them shareable across applications. In grid computing, job scheduling is an important task. Load balancing and proper resource allocation are critical issues that must be considered in managing a grid computing environme...

This paper discusses preliminary work on standardizing and implementing a remote procedure call (RPC) mechanism for grid computing. The GridRPC API is designed to address one of the factors that has hindered widespread acceptance of grid computing – the lack of a standardized, portable, and simple programming interface. In this paper, we examine two concrete implementations of the GridRPC API b...

In the past few years, many overlying concepts of distributed computing eminently cluster, grid and cloud computing have appeared. In recent years, extensive researches have been conducted in the area of simulation to model large complex systems and understand their behavior, especially in parallel and distributed systems. Distributed computing combines multiple computers, geographically disper...

We are pleased to present a special issue of best papers presented at the 4th International Workshop on Middleware for Grid Computing (MGC 2006), which was held in conjunction with the ACM/IFIP/USENIX 7th International Middleware Conference during November 2006 in Melbourne, Australia. The goal of the fourth edition of the MGC workshop was to bring together researches in the field of middleware...

Grid computing is a form of distributed computing that involves coordinating and sharing computing, application, data storage or network resources across dynamic and geographically dispersed organizations. The goal of grid task scheduling is to achieve high system throughput and to match the application needed with the available computing resources. This is matching of resources in a non-determ...

The present manuscript concentrates on the application of Fog computing to a Smart Grid Network that comprises of a Distribution Generation System known as a Microgrid. It addresses features and advantages of a smart grid. Two computational methods for on-demand processing based on shared information resources is discussed. Fog Computing acts as an additional layer of computational and/or commu...

The new paradigm of distributed computation, grid computing, has given rise to a large amount of research on resource scheduling. Unlike the distributed computation, grid computing uses heterogeneous resources, for what grid computing entails new challenges as the adaptation of parallel algorithms before developed for homogeneous resources cluster to the dynamic and heterogeneous resources. In ...

Grid computing systems are being positioned as the high performance computing infrastructure of the future that will be used to solve grand challenge problems and also provide the infrastructure for wide area distributed network computing. The architecture of the Grid will determine if it will meet these challenges. We propose a Grid architecture that is secure, high performance and extensible....