A middleware for assured clouds

Middleware for Clouds and e-Science

1. BACKGROUND This special issue focuses on middleware for Clouds and e-Science applications, and is based on extended, thoroughly revised papers from the 8th International Workshop on Middleware for Grid, Clouds and e-Science (MGC 2010) and the Workshop on Challenges in e-Science (CIS 2010). The authors were invited to provide extended versions of their original papers taking into account comm...

Cloud Computing for the Power Grid: From Service Composition to Assured Clouds

The electric power industry is one of the few industries where cloud computing has not yet found much adoption, even though electric power utilities rely heavily on communications and computation to plan, operate and analyze power systems. In this paper we explore the reasons for this phenomenon. We identify a variety of power system applications that could benefit from cloud computing. We then...

How to Make Assured Service More Assured

In this paper, we study why the current assurance services (AS) architecture with pro lers/markers at edge routers and with queue management mechanisms (RIO) at core routers cannot achieve throughput assurance and fairness. Based on the ndings of the simulation study, we propose an enhanced version of the time sliding window (TSW) pro ler, called the enhanced TSW (ETSW). We also design two enha...

A Quantitative Assured Forwarding Service

The Assured Forwarding (AF) service of the IETF DiffServ architecture provides a qualitative service differentiation between classes of traffic, in the sense that a low-priority class experiences higher loss rates and higher delays than a high-priority class. However, the AF service does not quantify the difference in the service given to classes. In an effort to strengthen the service guarante...

How to Make Assured Servi e More Assured