Clouds have been adopted widely by many organizations for their supports of flexible
resource demands and low cost, which is normally achieved through sharing the underlying …

Clouds have been adopted by many organizations as their computing infrastructure due to
the support for flexible re-source demands and low cost, which is normally achieved through …

Accurate performance prediction for cloud applications is an essential component to support
many cloud resource management and auto-scaling policies. However, most existing …

Performance fluctuation of cloud running applications, due to collocations of different tenants
on the same machine, is one of the cloud users' concerns. To alleviate users' concerns with …

Most existing studies on performance prediction for virtual machines (VMs) in multi-tenant
clouds are at system level and generally require access to performance counters in …

Performance characteristics of a complex system in different configurations are expensive to
obtain due to the cost of sampling the system performance. We introduce ModelMap, a novel …

Abstract Nowadays, Apache Hadoop and Apache Spark are two of the most prominent
distributed solutions for processing big data applications on the market. Since in many cases …

Users of cloud services are presented with a bewildering choice of VM types and the choice
of VM can have significant implications on performance and cost. In this paper we address …

Infrastructure-as-a-service (IaaS) cloud providers offer tenants elastic computing resources
in the form of virtual machine (VM) instances to run their jobs. Recently, providing …

The success of cloud computing builds largely upon on-demand supply of virtual machines
(VMs) that provide the abstraction of a physical machine on shared resources. Unfortunately …