This paper summarizes the performance impact of load balancing. This paper concentrates on the impact of node scheduling policies on the performance of the sender initiated and receiveinitiated adaptive load sharing policies. Here the node scheduling policies that are considered are – FCFS, SJF and RR policies. This paper also describes the Hector environment, which provides a run-time interfac...

Most previous work on influence maximization in social networks is limited to the non-adaptive setting in which the marketer is supposed to select all of the seed users, to give free samples or discounts to, up front. A disadvantage of this setting is that the marketer is forced to select all the seeds based solely on a diffusion model. If some of the selected seeds do not perform well, there i...

We study a dynamic equilibrium model in which agents have adaptive expectations and monetary authorities pursue an inflation target. We show how alternative monetary stabilization policies become more effective when fiscal constraints on deficits are implemented, although they are not binding at the equilibrium target. In particular, we show that the inflation target equilibrium can be locally,...

Security of Web services is a major factor to their successful integration into critical IT applications. An extensive research in this direction concentrates on low level aspects of security such as message secrecy, data integrity, and authentication. Thus, proposed solutions are mainly built upon the assumption that security mechanisms are static and predefined. However, the dynamic nature of...

Dynamic AOP has been identified as a useful technique to implement an auto-adaptive framework. To supplement this policies based upon EventCondition-Action rules are used to specify when adaptations should be applied to the underlying system. However, for use in auto-adaptive systems it is advantageous if these policies allow certain relationship information to be specified to ensure the system...

The trend in cache design research is towards finding the single optimum replacement policy that performs better than any other proposed policy by using all the useful criteria at once. However, due to the variety of workloads and system topologies it is daunting, if not impossible, to summarize all this information into one magical value using any static formula. We propose a workload and topo...