TAILIEUCHUNG - Ebook Scheduling in distributed computing systems: Part 2

Part 1 book "Scheduling in distributed computing systems" includes content: Allocation of multiple tasks in DCS, other approaches for task allocation, scheduling in computational grid, concluding remarks. | CHAPTER 8 Allocation of Multiple Tasks in DCS This chapter consists of four propositions of TA algorithms first of these ad- dresses the realistic consideration of multiple tasks in a DCS whereas earlier pro- posed algorithms Sec. and consider only one task at a time the second proposition a cluster based algorithm does not require the priori knowledge of execution time of modules of a given task as it is difficult to estimate the same for allocation purposes. These propositions appear in sections and respec- tively. Section and deals with the LBTA strategies for multiple tasks using A and using GA respectively. The task allocation models amp algorithms discussed in previous chapters con- centrated on improvement of execution characteristics of an individual task con- sisting of a number of modules submitted to the DCS. A DCS in fact keeps on receiving multiple tasks from time to time. This calls for consideration of all the tasks for allocation simultaneously to the processing nodes of the DCS. Such an allocation would be able to aim at a good throughput of the system apart from im- provement in the turn around time of the individual task. The idea of multiple task allocation is elaborated in section . 126 Scheduling in Distributed Computing Systems The major problem of the allocation techniques is the assumption that the exe- cution time of the modules of the task on the PEs of the DCS and the communica- tion among them are available priori. The execution time on the PEs of a DCS prior to its execution is just difficult to estimate. The allocation method that may work with other parameters without prior knowledge of execution time is desir- able. The allocation model proposed in section considers the inter module communication for grouping modules into the clusters and at the same time clus- tering of PEs are done based on the inter-processor distances. This cluster-based algorithm for the task allocation can make assignments by .

• Quản trị mạng
• Distributed computing systems
• Multiple tasks
• Task allocation
• Computational grid
• Concluding remarks
• Distributed computing
• Design of distributed computing systems
• Global predicate detection
• Distributed shared memory
• Authentication in distributed systems
• Koo–Toueg coordinated checkpointing algorithm
• Lecture Parallel computing & Distributed systems
• Parallel computing & Distributed systems
• Bài giảng Tính toán song song và phân tán
• Parallel processing
• Financial disaster modeling
• High perfomance computing
• Distributed systems communication
• Theory of distributed computing
• Message Passing Systems
• Depth First search spanning tree
• Share memory systems
• Parallel computer architectures
• Flynn’s taxonomy
• Conventional sequential machines
• Cache organization
• Fully set associative
• n way set associative
• Parallel matrix processing
• OpenMP Core Syntax
• Nested loops
• Advanced topics
• Amdahl’s law
• Gustafson’s law
• Physical clock synchronization
• Jard–Jourdan’s adaptive technique
• The Chandy–Lamport algorithm
• Elementary graph algorithms
• Lecture Distributed Database Management Systems
• Distributed Database Management Systems
• Bài giảng Hệ quản trị cơ sở dữ liệu phân tán
• Traditional file processing system
• Database approach
• Distributed computing system
• Distributed systems
• Distributed file systems
• Name services
• Coordination and agreement
• Transactions and concurrency control
• Distributed transactions
• Ubiquitous computing
• Fault Tolerant simulations
• Atomic snapshot objects
• Simulating synchrony
• Fault Tolerant clock synchronization
• Lecture Software Engineering
• Software Engineering
• Distributed Systems Architectures
• Distributed object architectures
• Organisational computing
• Multiprocessor architectures
• Operating systems
• Lecture Operating systems
• Embedded systems
• Server computing
• Client computing
• Distributed message passing
• Operating Systems Do
• Computer System
• Process Management
• Computing Environments
• key principles
• Paradigms
• new material
• peer to peer systems
• grid computing
• Web services
• Structure of operating systems
• Distributed operating systems
• Memory management