With the explosive growth of big data, workloads tend to get more complex and
computationally demanding. Such applications are processed on distributed interconnected …

An efficient resource allocation scheme plays a vital role in scheduling applications on high-
performance computing resources in order to achieve desired level of service. The major …

As large-scale distributed systems gain momentum, the scheduling of workflow applications
with multiple requirements in such computing platforms has become a crucial area of …

As the paradigm shift toward Software as a Service (SaaS) continues to gain momentum,
there is a growing focus on the performance of SaaS clouds from both academia and …

Summary Software as a Service (SaaS) cloud computing has emerged as an attractive
platform to tackle various problems of the traditional software distribution model, such as the …

As cloud computing continues to gain momentum, big data analytics are now offered as
Software as a Service (SaaS). Besides the heterogeneity and multi-tenancy of the …

As the distributed resources required for the processing of High Performance Computing
(HPC) applications are becoming larger in scale and computational capacity, their energy …

In the highly competitive business environment of Software as a Service (SaaS) clouds,
Quality of Service (QoS) and fair pricing are of paramount importance for differentiating …

Mixed-criticality (MC) scheduling of sequential tasks (with no intra-task parallelism) has
been well-explored by the real-time systems community. However, till date, there has been …

As the adoption of Software as a Service (SaaS) cloud computing continues to gain
momentum, the arising challenges of scheduling parallel applications on such platforms …