Data center power optimization has recently received a great deal of research attention. For
example, server consolidation has been demonstrated as one of the most effective energy …

Accurately predicting future service traffic would be of great help for load balancing and
resource allocation, which plays a key role in guaranteeing the quality of service (QoS) in …

Cloud computing has become a de facto approach for service provisioning over the Internet.
It operates relying on a pool of shared computing resources available on demand and …

With the explosion of big data, processing large numbers of continuous data streams, ie, big
data stream processing (BDSP), has become a crucial requirement for many scientific and …

As it has become the norm for cloud providers to host multiple datacenters around the globe,
significant demands exist for inter-datacenter data transfers in large volumes, eg, migration …

Cloud service providers use replication across geographically distributed data centers to
improve end-to-end performance as well as to offer high reliability under failures. Content …

Large cloud service providers have built an increasing number of geo-distributed data
centers (DCs) connected by WAN to host their diverse services. While we have seen a large …

The growing demand for always-on and low-latency cloud services is driving the creation of
globally distributed datacenters. A major factor affecting service availability is reliability of the …

Traffic prediction and utilization of past information are essential requirements for intelligent
and efficient management of resources, especially in optical data center networks (ODCNs) …

Cloud computing is a novel paradigm that enables transparent resource sharing over the
Internet. With cloud computing users access applications/services and infrastructure …