The increase in energy consumption is the most critical problem worldwide. The growth and
development of complex data-intensive applications have promulgated the creation of huge …

This paper discusses the principles and experimental status of gas cluster ion beam (GCIB)
processing as a promising surface modification technique for practical industrial …

One of the major applications of future generation parallel and distributed systems is in big-
data analytics. Data repositories for such applications currently exceed exabytes and are …

As computation continues to move into the cloud, the computing platform of interest no
longer resembles a pizza box or a refrigerator, but a warehouse full of computers. These …

This paper presents a set of architecturally and workloadinspired algorithmic and
engineering improvements to the popular Memcached system that substantially improve …

Key-value (KV) stores have become a backbone of large-scale applications in today's data
centers. The data set of the store on a single server can grow to billions of KV items or many …

This book describes warehouse-scale computers (WSCs), the computing platforms that
power cloud computing and all the great web services we use every day. It discusses how …

This paper proposes a Geo-distributed key-value datastore, named ChainReaction, that
offers causal+ consistency, with high performance, fault-tolerance, and scalability …

In this paper, we report on our “Iridis-Pi” cluster, which consists of 64 Raspberry Pi Model B
nodes each equipped with a 700 MHz ARM processor, 256 Mbit of RAM and a 16 GiB SD …

Pervasive use of cloud computing and the resulting rise in the number of datacenters and
hosting centers (that provide platform or software services to clients who do not have the …