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Static Task Scheduling Algorithm with Minimum Distance for Multiprocessor System (STMD)
Ranjit Rajak,C.P.Katti 한국산학기술학회 2015 SmartCR Vol.5 No.2
Task scheduling in the multiprocessor environment is considered to be a NP-complete problem. It is also called a multiprocessor scheduling. Here, a parallel program is divided into a number of subtasks and it is mapped on the processors for concurrent execution. The objective of task scheduling is to reduce scheduling length of a given application program. Considering that task scheduling is represented by Directed Acyclic Grape (DAG). There are two types of task scheduling algorithms: static task scheduling and dynamic task scheduling algorithms. In this paper, we propose a new task scheduling algorithm based on minimum distance and an entry task duplicated on the processors. The minimum distance computes between an entry task and its successors. It includes, minimum distance of parent task, execution time and communication time Here , also considering a priority list (PL) attribute that contains tasks information of a given application program whose distance is minimum from an entry task. Finally, we will do comparative study of the proposed algorithm with Bounded Number of Processors (BNP) class of scheduling algorithms. It has done based on the following matrices: Scheduling Length, Speedup, Efficiency, Load Balancing and Normalized Scheduling Length (NSL). It showed proposed algorithm gives better result than BNP class of scheduling algorithms.
Study of Cloud Computing and its Issues: A Review
J. K. Verma,C. P. Katti 한국산학기술학회 2014 SmartCR Vol.4 No.5
Cloud computing is a new paradigm for hosting and delivering services using the standard protocols of the Internet. It refers to a service-oriented architecture that offers ubiquitous and convenient computing, greater flexibility, on-demand services, reduced total cost of ownership, reduced information technology overhead for the end-user, and many other things. It allows access to a large amount of computing power in a fully virtualized mode by aggregating a configurable pool of resources that are rapidly provisioned and released dynamically. It also provides the capability to utilize scalable, distributed computing environments within the confines of the Internet with minimal management effort while keeping a single coherent system view. Cloud computing is constantly gaining popularity in the information technology industry, and so more and more issues and challenges are emerging that need to be handled for the success of this paradigm. This paper presents an introduction of cloud computing, and a comparative study of cloud computing and grids. Furthermore, we put forward pinpoint research issues in the cloud computing paradigm and a mathematical understanding of several issues among them.