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As time-triggered communication protocols [e.g., time-triggered controller area network (TTCAN), time-triggered protocol (TTP), and FlexRay] are widely used on vehicles, the scheduling of tasks and messages on in-vehicle networks becomes a critical issue for offering quality-of-service (QoS) guarantees to time-critical applications on vehicles. This paper(More)
Content distribution networks (CDNs) built on clouds have recently started to emerge. Compared to conventional CDNs, cloud-based CDNs have the benefit of cost efficient hosting services without owning infrastructure. However, resource provisioning and replica placement in cloud CDNs involve a number of challenging issues, mainly due to the dynamic nature of(More)
—Time-triggered communication protocols, such as Time-Triggered Protocol (TTP) and FlexRay, have potential to solve many system integration and concurrent engineering issues in the aerospace industry. This paper investigates the scheduling of periodic applications on time-triggered systems. A novel scheduling problem is formulated to capture a unique(More)
Cloud computing offers customers an efficient way to flexibly allocate resources to meet demands. Cloud service vendors can offer consumers three purchasing plans, i.e., on-demand, spot, and reserved instances for resource provisioning. Since price of resources in reservation plan is generally cheaper than that in on-demand plan, in this study we attempt to(More)
The Cloud with its abundant on-demand processor, storage, and bandwidth capacities and the elastic billing models has been emerging as a promising platform to scientific workflow computations. However, in reality, due to ineffective use of or practical constraints on the provisioned resources, the best-effort model to allocate as many as possible resources(More)
In this paper, we study the problem of co-migrating a set of service replicas residing on one or more redundant virtual servers in clouds in order to satisfy a sequence of mobile batch-request demands in a cost effective way. With such a migration, we can not only reduce the service access latency for end users but also minimize the network costs for(More)
  • Rahul Sharma, S. K. Verma, +24 authors S. V. Kasmir RajaquotA
  • 2014
Grid computing is the framework of computer systems that provides high performance computing environment. The challenging issue in grid computing is to design efficient and reliable task scheduling algorithms for efficient utilization of grid computing. In this paper, we are proposing a new Improvised Prioritized Deadline (IPD) based scheduling algorithm(More)