Grid and Cloud Computing

2010

The fields of Grid, Utility and Cloud Computing have a set of common objectives in harnessing shared resources to optimally meet a great variety of demands cost-effectively and in a timely manner Since Grid Computing started its technological journey about a decade earlier than Cloud Computing, the Cloud can benefit from the technologies and experience of the Grid in building an infrastructure for distributed computing. Our comparison of Grid and Cloud starts with their basic characteristics and interaction models with clients, resource consumers and providers. Then the similarities and differences in architectural layers and key usage patterns are examined. This is followed by an in depth look at the technologies and best practices that have applicability from Grid to Cloud computing, including scheduling, service orientation, security, data management, monitoring, interoperability, simulation and autonomic support. Finally, we offer insights on how these techniques will help solve the current challenges faced by Cloud computing.

2013

Grid is a generalized network computing system that is supposed to scale to Internet levels and handle data and computation seamlessly. Grid computing an extension of distributed computing supports computation across multiple administrative domains which enable it to be distributed over a local, metropolitan or wide area network. Grid infrastructure is a large set of nodes geographically distributed and connected by a communication. As, the users can access the resources simply and transparently without knowing where they are physically located, there are many challenges involved for constructing the grid environment. This paper gives a detailed survey on the challenges and characteristics of the grid and how to manage the resources in the grid environment. This paper also deals with the security issues related to grid. Keywords-Grid computing, Grid Architecture, Grid

Future Generation …, 2010

Grid computing has been the subject of many large national and international IT projects in the past. However, it seems that the general expectations in Grids have not come true. Instead in the view of many observers, the Grid concept is on the way to be replaced by Cloud computing and other as-a-Service approaches. In this paper, we try to analyze the current situation and to describe potential obstacles for the future development of Grids. Although pointing out shortcomings of the past we state that the concept of Grids is still valid and includes new developments like Cloud computing and virtualization. Further, we believe that future applications need this concept and that this concept in turn needs more research for its reliable, efficient and easy to use implementation.

Concepts, Methodologies, Tools and Applications

Cloud computing is a new kind of computing model and technology introduced by industry leaders in recent years. Nowadays, it is the center of attention because of various excellent promises. However, it brings some challenges and arguments among computing leaders about the future of computing models and infrastructure. For example, whether it is going to be in place of other technologies in computing like grid or not, is an interesting question. In this chapter, we address this issue by considering the original grid architecture. We show how cloud can be put in the grid architecture to complement it. As a result, we face some shadow challenges to be addressed.

airccse.org

Cloud computing is the most recent announced technology that has been launched on the network world. Clouds are considered as a new generation of Grid computing. Clouds consist of data centres which are owned by the same institute. The homogeneity within each data centre in the infrastructure is the main feature for the cloud computing compared to grid computing. This paper provides a definition for the cloud, it discusses many aspects of Cloud Computing, and describes architectures for the cloud (by looking at Amazon's application (GrepTheWeb)) and how its cost definition differs from that of Grid computing. This paper focuses on comparing Cloud Computing to previous generations such as Grid Computing, by reviewing some Security and Policy Issues in Cloud and Grid Computing. At the end, this paper describes the similarities and differences between the Grid and Cloud approaches.

it - Information Technology, 2011

Cloud Computing represents a novel and promising approach for implementing scalable ICT systems for individual-, communities-, and business-use relying on the latest achievements of diverse research areas, such as Grid computing, Service oriented computing, business processes, and virtualization. From the technological point of view Grid computing is considered as the most related predecessor technology of Cloud computing. Although, Cloud and Grid computing differ in many aspects, as for example, in the general idea of the provision of computational resource, which is in Clouds commercial based and in Grids community based, there are many similarities. In this paper we investigate the similarities and differences between Clouds and Grids by evaluating two successful projects, namely for the provision of native hight performance copmputing applications as Grid workflows and for the self-management of Cloud infrastructures. Zusammenfassung Cloud Computing ist eine neuartige Methode für die Implementierung skalierbarer ICT Systeme, die von den Individuen, Gemeinschaften und Geschäftsprozessen benutzt wird. Cloud Computing basiert auf diversen Technologien wie z. B. Grid Computing, Serviceorientierte Architekturen, Geschäftsprozess-Management und Virtualisierung. Von dem technologischen Standpunkt wird Grid Computing als die wichtigste Vorläufertechnologie angesehen. Obwohl Grid und Cloud Infrastrukturen sich in vielen Aspekten unterscheiden, wie z. B. in der Idee wie die Computerressourcen angeboten werden-in Grid basiert dies auf der gemeinsamen Nutzung der Ressourcen in einer Gemeinschaft, in Clouds ist es kommerziell-haben beide Systeme auch sehr viele Gemeinsamkeiten. In dieser Arbeit untersuchen wir die Ähnlichkeiten und Unterschiede zwischen Grid und Cloud Systemen durch die Evaluierung von zwei erfolgreichen Projekten aus beiden Bereichen, nämlich eine Infrastruktur für die Bereitstellung der Hochleistungsapplikationen als Services für Grid und eine Cloud Infrastruktur für das Selbstmanagement der Cloud Applikationen.