Companies want to benefit from the numerous advantages of cloud services such as flexibility and cost efficiency. However, cloud services vary considerably with respect to the security and privacy mechanisms provided. Moreover, security-aware companies complain the lack of transparency concerning the security measures and processes the cloud provider has installed. As a solution for the latter ...

Cloud computing provides an economical and efficient solution for sharing group resource among cloud users. Unfortunately, sharing data in a multi‐owner manner while preserving data and identity privacy from an untrusted cloud is still a challenging issue. In this paper, we propose a secure multi‐ owner data sharing scheme, named Mona, for dynamic groups in the cloud. By leveraging group signat...

Received Sept 05 th , 2012 Accepted Aug 26 th , 2012 Cloud computing has recently emerged as new computing paradigm which basically aims to provide customized, reliable, dynamic services over the internet. Cost and security are influential issues to deploy cloud computing in large enterprise. Privacy and security are very important issues in terms of user trust and legal compliance. Information...

Reorganization of power generation, thereby replacing conventional energy sources by innovative renewable energy sources, demands a change in distribution grid structure and operation. The foreseen Decentralized Marked Agent is a new role in the energy market sector accomplishing not only trading on energy and operating reserve markets but also regulating flexibilities at the distribution grid ...

In order to answer the question whether or not to utilize the cloud for processing, this paper aims at identifying characteristics of potential cloud beneficiaries and advisable actions to actually gain financial benefits. A game-theoretic model of an Infrastructure-as-aService (IaaS) cloud market, covering dynamics of pricing and usage, is suggested. Incorporating the possibility of hybrid clo...

In this work, we investigate tools that enable dollar cost optimization of scientific simulations using commercial clouds. We present a framework, called CLOUDTRACKER, that transparently records information from a simulation that is executed in a commercial cloud so that it may be “replayed” exactly to reproduce its results. Using the automated CLOUDTRACKER provenance and replay facilities, sci...

We present exact conditions relating the distribution of firm productivity to the distributions of sales, output, and markups; and we use the Kullback-Leibler divergence to quantify the information loss when a predicted distribution fails to match the actual one. In particular, we show that, for a large family of distributions (including Pareto, lognormal, and Fréchet), the distributions of pro...

Prominent bargaining solutions are disagreement-point monotonic. These solutions’ disagreement-point monotonicity ranking, on the other hand, is impossible to establish. In a large class of bargaining problems, however, a ranking of the relative disagreement-point monotonicity of these prominent bargaining solutions can be obtained. Using the ‘Constant Elasticity of Substitution’ class of barga...

The problem of robust line planning requests for a set of origin-destination paths (lines) along with their traffic rates (frequencies) in an underlying railway network infrastructure, which are robust to fluctuations of real-time parameters of the solution. In this work, we investigate a variant of robust line planning stemming from recent regulations in the railway sector that introduce compe...

Grid technologies and the related concepts of utility computing and cloud computing enable the dynamic sourcing of computer resources and services, thus allowing enterprises to cut down on hardware and software expenses and to focus on key competencies and processes. Resources are shared across administrative boundaries, e.g. between enterprises and/or business units. In this dynamic and inter-...