Hundreds of modeling methods are in existence today, yet practitioners and researchers are
zealously" producing" new modeling methods. The" blooming" of modeling methods is not …

The Hadoop enabled cloud platforms are gradually becoming preferred computational
environment to execute scientific big data workloads in a periodic manner. However, it is …

The advent of cloud computing as a new model of service provisioning in distributed
systems, encourages researchers to investigate its benefits and drawbacks in executing …

Cloud computing systems play a vital role in the digital age. A critical bottleneck in most
scenarios in cloud computing is the high degree of unpredictability with respect to resource …

The main challenge in a compute cloud system is to design a scheduling strategy for
heterogeneous computing resources with shared data banks. The cloud user's job arrives at …

Multi-installment scheduling (MIS) has shown great effectiveness in minimizing the
processing time for large-scale partitionable workloads. To derive an optimal MIS strategy …

In this paper we analyze the impact of memory hierarchies on time-energy trade-off in
parallel computations. Contemporary computing systems have deep memory hierarchies …

Using the virtually unlimited resource capacity of public cloud, dynamic scaling out of large-
scale applications is facilitated. A critical question arises practically here is how to run such …

In this paper, we propose a novel analysis method for divisible load scheduling in mesh,
torus and Gaussian network, a new type of interconnection network that has the same node …

The cloud IaaS provider supports diverse services for users to access big data of the real-
time entertainment or the non-real-time working traffic. The IaaS provider builds data centers …