Curriculum design is a highly important activity for the academic institutions. It is discussed in literature as a balancing academic curriculum problem (BACP). The BACP schedules courses to different semesters, while balancing the total workload per period. BACP model involves precedence relations, but the related courses are not necessarily assigned to closest periods. The Relevance Based Cur...

The Cloud computing is an embryonic as an innovative hypothesis of gigantic distributed calculation. Load balancing, the main trial in cloud computing, requires to allocate the vibrant workload uniformly across all of the machines. Burden balancing leads to a high user satisfaction and resource utilization ratio by confirming a proficient and fair allocating of all of the resources. Burden Bala...

Cloud Environment allows users to access on-demand IT resources over the cyberspace based on pay per use pattern. Optimizing the resource utilizationand reducing the amount of active server machine usage in clouds become a challenging task. The major intend of this work is to builda model which supports balancing the workload in cloud datacenters and minimizing the amount of active servers to s...

A major issue in distributed computing systems is the choice of an adequate load balancing policy. ’Traditional’ load balancing policies assign independent tasks to servers, while scheduling policies assume complete knowledge of task dependencies and treat the assignment problem as a large search problem. However, both approaches are based on assumptions that do not hold in distributed computin...

Load balancing techniques play a very important role in developing high-performance cluster computing platforms. Many load balancing polices achieve high system performance by increasing the utilization of CPU, memory, or a combination of CPU and memory. However, these load-balancing policies are less effective when the workload comprises of a large number of I/O-intensive tasks and I/O resourc...

Load balancing is the process of distributing the load among various nodes of a distributed system to improve both resource utilization and job response time while also avoiding a situation where some of the nodes are heavily loaded while other nodes are idle or doing very little work. This paper presents an approach for scheduling algorithms that can maintain the load balancing and provides be...

Load balancing is a key concern when developing parallel and distributed computing applications. The emergence of computational grids extends this problem, where issues of cross-domain and large-scale scheduling must also be considered. In this work an agent-based grid management infrastructure is coupled with a performance-driven task scheduler that has been developed for local grid load balan...

Navpreet Singh M. tech Scholar, CSE & IT Deptt., BBSB Engineering College, Fatehgarh Sahib, Punjab, India (IKG – Punjab Technical University, Jalandhar) [email protected] Dr. Kanwalvir Singh Dhindsa Professor, CSE & IT Deptt., BBSB Engineering College, Fatehgarh Sahib, Punjab, India (IKG – Punjab Technical University, Jalandhar) [email protected] -----------------------------...

Load balancing is one of the essential factors to enhance the working performance of the cloud service provider. Cloud Computing is an emerging computing paradigm. It aims to share data, calculations, and service transparently over a scalable network of nodes. Since Cloud computing stores the data and disseminated resources in the open environment. Since, cloud has inherited characteristic of d...