Hybrid LRU Algorithm for Enterprise Data Hub using Serverless Architecture

Poster: Data Hub Architecture for Smart Cities

Today large amount of data is generated by cities. Many of the datasets are openly available and are contributed by different sectors, government bodies and institutions. The new data can affect our understanding of the issues faced by cities and can support evidence based policies. However usage of data is limited due to difficulty in assimilating data from different sources. Open datasets oft...

freedom.js: an Architecture for Serverless Web Applications

Delivering web software as a service has grown into a powerful paradigm for deploying a wide range of Internetscale applications. However for end-users, accessing software as a service is fundamentally at odds with free software, because of the associated cost of maintaining server infrastructure. Users end up paying for the service in one way or another, often indirectly through ads or the sal...

CRC: Protected LRU Algorithm

Additional on-chip transistors as well as more aggressive processors have led the way for an ever expanding memory hierarchy. Multi-core architectures often employ the use of a shared L3 cache to reduce accesses to off chip memory. Such memory structures often incur long latency (as much as 30 cycles in our framework) and are configured to retain sets as large as 16 way. A baseline replacement ...

A Hybrid Data Clustering Algorithm Using Modified Krill Herd Algorithm and K-MEANS

Data clustering is the process of partitioning a set of data objects into meaning clusters or groups. Due to the vast usage of clustering algorithms in many fields, a lot of research is still going on to find the best and efficient clustering algorithm. K-means is simple and easy to implement, but it suffers from initialization of cluster center and hence trapped in local optimum. In this paper...

Community Detection Algorithm for Big Social Networks Using Hybrid Architecture