Our next generation of industry—Industry 4.0—holds the promise of increased flexibility in
manufacturing, along with mass customization, better quality, and improved productivity. It …

Resource scheduling becomes the prominent issue in cloud computing due to rapid growth
of on demand request and heterogeneous nature of cloud resources. Cloud provides …

The emergence of the Internet of Vehicles (IoV) introduces challenges regarding
computation-intensive and time-sensitive related services for data processing and …

With the growth in computing technologies, cloud computing has added a new paradigm to
user services that allows accessing Information Technology services on the basis of pay-per …

Cloud computing is a modern paradigm to provide services through the Internet. Load
balancing is a key aspect of cloud computing and avoids the situation in which some nodes …

Graph processing recently received intensive interests in light of a wide range of needs to
understand relationships. It is well-known for the poor locality and high memory bandwidth …

In this paper, we present GridGraph, a system for processing large-scale graphs on a single
machine. Grid-Graph breaks graphs into 1D-partitioned vertex chunks and 2D-partitioned …

Scheduling of tasks in cloud computing is an NP-hard optimization problem. Load balancing
of non-preemptive independent tasks on virtual machines (VMs) is an important aspect of …

The emergence of cloud computing based on virtualization technologies brings huge
opportunities to host virtual resource at low cost without the need of owning any …

Load Balancing is essential for efficient operations indistributed environments. As Cloud
Computing is growingrapidly and clients are demanding more services and betterresults …