Azure Service Fabric Scaling

我有一个在 Azure Service Fabric 上运行计划任务的应用。我的应用程序必须同时运行三十到四十个任务，所以我使用的是异步编程。我有一些问题：

是否建议异步运行任务？如果没有，我是否应该同步运行任务并纵向扩展？如何扩大规模？我不需要运行任务的返回信息。

我是否应该将排队和出队列分离到单独的有状态服务中？如果是这样，这些服务将如何相互通信？

这是我的代码：

internal sealed class JMATaskRunner : StatefulService
   {
    public JMATaskRunner(StatefulServiceContext context)
        : base(context)
    { }
    /// <summary>
    /// Optional override to create listeners (e.g., HTTP, Service Remoting, WCF, etc.) for this service replica to handle client or user requests.
    /// </summary>
    /// <remarks>
    /// For more information on service communication, see http://aka.ms/servicefabricservicecommunication
    /// </remarks>
    /// <returns>A collection of listeners.</returns>
    protected override IEnumerable<ServiceReplicaListener> CreateServiceReplicaListeners()
    {
        return new ServiceReplicaListener[0];
    }

    public async Task<List<JMATask>> GetMessagesAsync()
    {
        await AddTasks();
        List<JMATask> ts = new List<JMATask>();
        IReliableQueue<JMATask> tasks =
            await this.StateManager.GetOrAddAsync<IReliableQueue<JMATask>>("JMATasks");
        using (ITransaction tx = this.StateManager.CreateTransaction())
        {
            var messagesEnumerable = await tasks.CreateEnumerableAsync(tx);
            using (var enumerator = messagesEnumerable.GetAsyncEnumerator())
            {
                while (await enumerator.MoveNextAsync(CancellationToken.None))
                {
                    ts.Add(enumerator.Current);
                }
            }
        }
        return ts;
        //return messagesEnumerable.ToList();
    }
    public async Task AddMessageAsync(JMATask task)
    {
        IReliableQueue<JMATask> tasks =
            await this.StateManager.GetOrAddAsync<IReliableQueue<JMATask>>("JMATasks");
        using (ITransaction tx = this.StateManager.CreateTransaction())
        {
            await tasks.EnqueueAsync(tx, task);
            await tx.CommitAsync();
        }
    }
    /// <summary>
    /// This is the main entry point for your service replica.
    /// This method executes when this replica of your service becomes primary and has write status.
    /// </summary>
    /// <param name="cancellationToken">Canceled when Service Fabric needs to shut down this service replica.</param>
    protected override async Task RunAsync(CancellationToken cancellationToken)
    {
        // TODO: Replace the following sample code with your own logic 
        //       or remove this RunAsync override if it's not needed in your service.
        IReliableQueue<JMATask> tasks =
            await this.StateManager.GetOrAddAsync<IReliableQueue<JMATask>>("JMATasks");
        while (true)
        {
            cancellationToken.ThrowIfCancellationRequested();
            var messagesEnumerable = await GetMessagesAsync();
            using (ITransaction tx = this.StateManager.CreateTransaction())
            {
                foreach (var message in messagesEnumerable)
                {
                    var result = await tasks.TryDequeueAsync(tx);
                    await PerformTask(result.Value);
                }
                await tx.CommitAsync();
                await Task.Delay(TimeSpan.FromSeconds(2), cancellationToken);
            }
        }

    }
    async Task<JMATask> PerformTask(JMATask task)
    {
        await Task.Run(() => Perform(task));
        return task;
    }
    void Perform(JMATask task)
    {
        Thread.Sleep(50000);
    }
    async Task<JMATask> AddTasks()
    {
        m_TaskProvider = JMATaskFactory.Get(conString);
        //List<JMATask> tasks = m_TaskProvider.GetAllTasks();
        //foreach(JMATask task in tasks)
        //{
        //    await AddMessageAsync(task);
        //}
        JMATask task = m_TaskProvider.GetJMATask(80);
        JMATask task2 = m_TaskProvider.GetJMATask(97);
        await AddMessageAsync(task);
        await AddMessageAsync(task2);
        return new JMATask();
    }
}