Many data center applications perform rich and complex tasks (eg, executing a search query
or generating a user's news-feed). From a network perspective, these tasks typically …

Abstract Cloud Computing and Service Oriented Architectures have seen a dramatic
increase of the amount of applications, services, management platforms, data, etc. gaining …

The continuous shift towards data-driven approaches to business, and a growing attention to
improving return on investments (ROI) for cluster infrastructures is generating new …

We argue for breaking data-parallel jobs in compute clusters into tiny tasks that each
complete in hundreds of milliseconds. Tiny tasks avoid the need for complex skew mitigation …

Scientific problems that depend on processing largeamounts of data require overcoming
challenges in multiple areas: managing large-scale data distribution, co-placement …

Cloud computing has reached significant maturity from a systems perspective, but currently
deployed solutions rely on rather basic economics mechanisms that yield suboptimal …

Many Task Computing (MTC) is a new class of computing paradigm in which the aggregate
number of tasks, quantity of computing, and volumes of data may be extremely large. With …

With the advent of big data and cloud computing era, scheduling and executing large-scale
computing tasks effectively and allocating resources to tasks reasonably are becoming a …

Task scheduling and execution over large scale, distributed systems plays an important role
on achieving good performance and high system utilization. Job management systems need …

Cloud computing, as an infrastructure less service, has gained a lot of attention over a
decade now. The surge for the resource allocation and pricing have been at the centre stage …