Abstract-Task scheduling and execution over large scale, distributed systems plays an important role on achieving good performance and high system utilization. Due to the explosion of parallelism found in today's hardware, applications need to perform over-decomposition to deliver good performance; this over-decomposition is driving job management systems' requirements to support applications with a growing number of tasks with finer granularity. Our goal in this work is to provide a compact, light-weight, scalable, and distributed task execution framework (CloudKon) that builds upon cloud computing building blocks (Amazon EC2, SQS, and DynamoDB). Most of today's state-of-the-art job execution systems have predominantly Master/Slaves architectures, which have inherent limitations, such as scalability issues at extreme scales and single point of failures. On the other hand distributed job management systems are complex, and employ non-trivial load balancing algorithms to maintain good utilization. CloudKon is a distributed job management system that can support both HPC and MTC workloads with millions of tasks/jobs. We compare our work with other state-of-the-art job management systems including Sparrow and MATRIX. The results show that CloudKon delivers better scalability compared to other state-of-the-art systems for some metricsall with a significantly smaller code-base (5%).
Abstruci -This paper presents a dynamic channel allocation scheme for wireless asynchronous transfer mode (WATM) satellite systems. The handoff schemes of WATM are utilized to deal with the handoff issues in WATM mobile satellite system. Here we investigate and simulate a dynamic channel allocation scheme for handoff in WATM mobile satellite networks, which improves the network resource utilization, by measuring the network performance in tenus of new call blocking probability (NCBP) and handoff call blocking probability (HCBP). In the new scheme the amving calls are given channels based on their priority. The handoff calls and new calls are subdivided into real time and non real time calls.Highest priority is given to the real time handoff calls, followed by the non real time'handoff calls, then real time new calls and finally the non real time new calls.
This paper presents the handover management in mobile satellite communications with multimedia traffic. Multimedia traffic is becoming the next hop in mobile satellite communication, due to its demand. The coverage of the satellite network knows no boundary and with the concept of the broadband satellite network, communication for multimedia and high-data rate multimedia communications can be provided. The handover initiation and execution is proposed with a queuing algorithm in the on-board processing (OBP) technique. The traffic is generated according to its nature of burstiness to represent the traffic behaviour on variation of the channels. The modelling could benefit network operators to fully conserve the frequency spectrum and to increase capacity.
A new dynamic channel allocation scheme (DCAS) has been proposed for mobile satellite systems with the aim of improving the utilization of the network resources by reducing the handoff call dropping probability (HODP) while guaranteeing a certain quality of service for the new call blocking probability (NCBP). The arriving calls are given channels based on their priority. The handoff calls have higher priority compared to the new calls, and real time traffic calls have higher priority over non real rime calls. The DCAS is then combined with the shortest path routing for a adaptive channel management scheme.
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