Large‐scale scientific problems are often modeled as workflows. The ever‐growing data
and compute requirements of these applications has led to extensive research on how to …

These days cloud computing is booming like no other technology. Every organization
whether it's small, mid-sized or big, wants to adapt this cutting edge technology for its …

Performance unpredictability is a major roadblock towards cloud adoption, and has
performance, cost, and revenue ramifications. Predictable performance is even more critical …

Cloud workflow scheduling is significantly challenging due to not only the large scale of
workflow but also the elasticity and heterogeneity of cloud resources. Moreover, the pricing …

Cloud computing is the latest distributed computing paradigm and it offers tremendous
opportunities to solve large-scale scientific problems. However, it presents various …

Nowadays, Cloud Computing is widely used to deliver services over the Internet for both
technical and economical reasons. The number of Cloud-based services has increased …

Optimized scientific workflow scheduling can greatly improve the overall performance of
cloud computing. As workflow scheduling belongs to NP-complete problem, so, meta …

Workflow scheduling is a key issue and remains a challenging problem in cloud computing.
Faced with the large number of virtual machine (VM) types offered by cloud providers, cloud …

One of many advantages of the cloud is the elasticity, the ability to dynamically acquire or
release computing resources in response to demand. However, this elasticity is only …

Cloud can be defined as a new computing paradigm that provides scalable, on-demand,
and virtualized resources for users. In this style of computing, users can access a shared …